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1229 lines
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<div class="title">sparse_vector.h</div> </div>
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<a href="sparse__vector_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Copyright 2010-2018 Google LLC</span></div>
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<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Licensed under the Apache License, Version 2.0 (the "License");</span></div>
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<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// you may not use this file except in compliance with the License.</span></div>
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<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// You may obtain a copy of the License at</span></div>
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<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div>
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<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// Unless required by applicable law or agreed to in writing, software</span></div>
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<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// distributed under the License is distributed on an "AS IS" BASIS,</span></div>
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<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span></div>
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<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// See the License for the specific language governing permissions and</span></div>
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<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">// limitations under the License.</span></div>
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<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div>
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<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">// Classes to represent sparse vectors.</span></div>
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<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// The following are very good references for terminology, data structures,</span></div>
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<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment">// and algorithms:</span></div>
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<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">// I.S. Duff, A.M. Erisman and J.K. Reid, "Direct Methods for Sparse Matrices",</span></div>
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<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">// Clarendon, Oxford, UK, 1987, ISBN 0-19-853421-3,</span></div>
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<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">// http://www.amazon.com/dp/0198534213.</span></div>
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<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">// T.A. Davis, "Direct methods for Sparse Linear Systems", SIAM, Philadelphia,</span></div>
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<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">// 2006, ISBN-13: 978-0-898716-13, http://www.amazon.com/dp/0898716136.</span></div>
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<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment">// Both books also contain a wealth of references.</span></div>
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<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div>
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<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#ifndef OR_TOOLS_LP_DATA_SPARSE_VECTOR_H_</span></div>
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<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#define OR_TOOLS_LP_DATA_SPARSE_VECTOR_H_</span></div>
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<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  </div>
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<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <algorithm></span></div>
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<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <cstring></span></div>
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<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <memory></span></div>
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<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <string></span></div>
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<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div>
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<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "absl/strings/str_format.h"</span></div>
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<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="integral__types_8h.html">ortools/base/integral_types.h</a>"</span></div>
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<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="base_2logging_8h.html">ortools/base/logging.h</a>"</span> <span class="comment">// for CHECK*</span></div>
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<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="iterators_8h.html">ortools/graph/iterators.h</a>"</span></div>
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<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="lp__types_8h.html">ortools/lp_data/lp_types.h</a>"</span></div>
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<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include "<a class="code" href="lp__data_2permutation_8h.html">ortools/lp_data/permutation.h</a>"</span></div>
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<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#include "<a class="code" href="return__macros_8h.html">ortools/util/return_macros.h</a>"</span></div>
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<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div>
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<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">namespace </span><a class="code" href="namespaceoperations__research.html">operations_research</a> {</div>
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<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace </span>glop {</div>
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<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div>
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<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType></div>
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<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">class </span>SparseVectorEntry;</div>
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<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div>
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<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment">// --------------------------------------------------------</span></div>
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<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment">// SparseVector</span></div>
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<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment">// --------------------------------------------------------</span></div>
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<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment">// This class allows to store a vector taking advantage of its sparsity.</span></div>
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<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment">// Space complexity is in O(num_entries).</span></div>
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<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment">// In the current implementation, entries are stored in a first-in order (order</span></div>
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<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment">// of SetCoefficient() calls) when they are added; then the "cleaning" process</span></div>
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<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment">// sorts them by index (and duplicates are removed: the last entry takes</span></div>
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<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment">// precedence).</span></div>
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<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment">// Many methods assume that the entries are sorted by index and without</span></div>
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<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment">// duplicates, and DCHECK() that.</span></div>
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<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment">// Default copy construction is fully supported.</span></div>
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<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment">// This class uses strong integer types (i.e. no implicit cast to/from other</span></div>
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<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment">// integer types) for both:</span></div>
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<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment">// - the index of entries (eg. SparseVector<RowIndex> is a SparseColumn,</span></div>
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<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment">// see ./sparse_column.h).</span></div>
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<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment">// - the *internal* indices of entries in the internal storage, which is an</span></div>
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<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment">// entirely different type: EntryType.</span></div>
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<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment">// This class can be extended with a custom iterator/entry type for the</span></div>
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<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment">// iterator-based API. This can be used to extend the interface with additional</span></div>
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<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment">// methods for the entries returned by the iterators; for an example of such</span></div>
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<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment">// extension, see SparseColumnEntry in sparse_column.h. The custom entries and</span></div>
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<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment">// iterators should be derived from SparseVectorEntry and SparseVectorIterator,</span></div>
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<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment">// or at least provide the same public and protected interface.</span></div>
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<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment">//</span></div>
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<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment">// TODO(user): un-expose this type to client; by getting rid of the</span></div>
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<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment">// index-based APIs and leveraging iterator-based APIs; if possible.</span></div>
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<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType,</div>
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<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">typename</span> IteratorType = VectorIterator<SparseVectorEntry<IndexType>>></div>
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<div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html"> 83</a></span> <span class="keyword">class </span><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a> {</div>
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<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">public</span>:</div>
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<div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0"> 85</a></span>  <span class="keyword">typedef</span> IndexType <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a>;</div>
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<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div>
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<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af3b6ca0629ded3da01fac04c5c4314c4"> 87</a></span>  <span class="keyword">typedef</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">StrictITIVector<Index, Fractional></a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af3b6ca0629ded3da01fac04c5c4314c4">DenseVector</a>;</div>
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<div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ac5f9e9c433389184262f9c1bc65b1b4d"> 88</a></span>  <span class="keyword">typedef</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">Permutation<Index></a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ac5f9e9c433389184262f9c1bc65b1b4d">IndexPermutation</a>;</div>
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<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  </div>
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<div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad2549de12e3ef2a9a92b6e24ba1416d5"> 90</a></span>  <span class="keyword">using</span> <a class="code" href="classoperations__research_1_1glop_1_1_vector_iterator.html">Iterator</a> = IteratorType;</div>
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<div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab38326ea6cb6187267665dd8b2748f3d"> 91</a></span>  <span class="keyword">using</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab38326ea6cb6187267665dd8b2748f3d">Entry</a> = <span class="keyword">typename</span> <a class="code" href="classoperations__research_1_1glop_1_1_vector_iterator.html#aa0dd10cc53d4fb9a1f3d7b54fe625acf">Iterator::Entry</a>;</div>
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<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div>
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<div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aac320ba03bf08d6af55331d499c6b66e"> 93</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aac320ba03bf08d6af55331d499c6b66e">SparseVector</a>();</div>
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<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  </div>
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<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// NOTE(user): STL uses the expensive copy constructor when relocating</span></div>
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<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// elements of a vector, unless the move constructor exists *and* it is marked</span></div>
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<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// as noexcept. However, the noexcept annotation is banned by the style guide,</span></div>
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<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// and the only way to get it is by using the default move constructor and</span></div>
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<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// assignment operator generated by the compiler.</span></div>
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<div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af52377dfe1d0e31194f6cc97c4ef563a"> 100</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af52377dfe1d0e31194f6cc97c4ef563a">SparseVector</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& other);</div>
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<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="preprocessor">#if !defined(_MSC_VER)</span></div>
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<div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a9b7a4328b24bbd67f1fc7ae4507264d4"> 102</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a9b7a4328b24bbd67f1fc7ae4507264d4">SparseVector</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>&& other) = <span class="keywordflow">default</span>;</div>
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<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div>
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<div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a449a2e1e630b1e2443bec9987f40370c"> 105</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a449a2e1e630b1e2443bec9987f40370c">operator=</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& other);</div>
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<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="preprocessor">#if !defined(_MSC_VER)</span></div>
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<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#abfde1b17d511614ad9217bd3cfa48c69"> 107</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#abfde1b17d511614ad9217bd3cfa48c69">operator=</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>&& other) = <span class="keywordflow">default</span>;</div>
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<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  </div>
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<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Read-only API for a given SparseVector entry. The typical way for a</span></div>
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<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// client to use this is to use the natural range iteration defined by the</span></div>
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<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// Iterator class below:</span></div>
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<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// SparseVector<int> v;</span></div>
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<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// ...</span></div>
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<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// for (const SparseVector<int>::Entry e : v) {</span></div>
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<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// LOG(INFO) << "Index: " << e.index() << ", Coeff: " << e.coefficient();</span></div>
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<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">// }</span></div>
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<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">//</span></div>
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<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// Note that this can only be used when the vector has no duplicates.</span></div>
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<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">//</span></div>
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<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Note(user): using either "const SparseVector<int>::Entry&" or</span></div>
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<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">// "const SparseVector<int>::Entry" yields the exact same performance on the</span></div>
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<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">// netlib, thus we recommend to use the latter version, for consistency.</span></div>
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<div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a13baa7e81d062b02cc3e598325fa43fe"> 124</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_vector_iterator.html">Iterator</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a13baa7e81d062b02cc3e598325fa43fe">begin</a>() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae00a75dd2e8b41c5dd3f7948f4e7d576"> 125</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_vector_iterator.html">Iterator</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae00a75dd2e8b41c5dd3f7948f4e7d576">end</a>() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div>
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<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Clears the vector, i.e. removes all entries.</span></div>
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<div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa71d36872f416feaa853788a7a7a7ef8"> 128</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa71d36872f416feaa853788a7a7a7ef8">Clear</a>();</div>
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<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div>
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<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// Clears the vector and releases the memory it uses.</span></div>
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<div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0b0c31ccfdd27c59cc9b6f270aaa14c4"> 131</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0b0c31ccfdd27c59cc9b6f270aaa14c4">ClearAndRelease</a>();</div>
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<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  </div>
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<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// Reserve the underlying storage for the given number of entries.</span></div>
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<div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae90055942b6d795d495d370afed742a9"> 134</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae90055942b6d795d495d370afed742a9">Reserve</a>(EntryIndex new_capacity);</div>
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<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div>
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<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Returns true if the vector is empty.</span></div>
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<div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a8e12342fc420701fbffd97025421575a"> 137</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a8e12342fc420701fbffd97025421575a">IsEmpty</a>() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div>
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<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Cleans the vector, i.e. removes zero-values entries, removes duplicates</span></div>
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<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// entries and sorts remaining entries in increasing index order.</span></div>
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<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Runs in O(num_entries * log(num_entries)).</span></div>
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<div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#abfc30f91ab75c6f4552003f777672e74"> 142</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#abfc30f91ab75c6f4552003f777672e74">CleanUp</a>();</div>
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<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  </div>
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<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// Returns true if the entries of this SparseVector are in strictly increasing</span></div>
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|
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// index order and if the vector contains no duplicates nor zero coefficients.</span></div>
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|
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// Runs in O(num_entries). It is not const because it modifies</span></div>
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<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// possibly_contains_duplicates_.</span></div>
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|
<div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5e016d204d43b2cc4a2773c25462968a"> 148</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5e016d204d43b2cc4a2773c25462968a">IsCleanedUp</a>() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  </div>
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<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// Swaps the content of this sparse vector with the one passed as argument.</span></div>
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<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// Works in O(1).</span></div>
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<div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a22626b1f1e195d8940de17a320debca0"> 152</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a22626b1f1e195d8940de17a320debca0">Swap</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* other);</div>
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<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  </div>
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<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Populates the current vector from sparse_vector.</span></div>
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<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// Runs in O(num_entries).</span></div>
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<div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af3346e19f245a59be830e9558002d2d4"> 156</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af3346e19f245a59be830e9558002d2d4">PopulateFromSparseVector</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& sparse_vector);</div>
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<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  </div>
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<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// Populates the current vector from dense_vector.</span></div>
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<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// Runs in O(num_indices_in_dense_vector).</span></div>
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<div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0dc13527444f4ff471194a69da9e0851"> 160</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0dc13527444f4ff471194a69da9e0851">PopulateFromDenseVector</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>& dense_vector);</div>
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<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  </div>
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<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// Appends all entries from sparse_vector to the current vector; the indices</span></div>
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<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// of the appended entries are increased by offset. If the current vector</span></div>
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<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="comment">// already has a value at an index changed by this method, this value is</span></div>
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<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// overwritten with the value from sparse_vector.</span></div>
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<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Note that while offset may be negative itself, the indices of all entries</span></div>
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<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// after applying the offset must be non-negative.</span></div>
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<div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aec386501911cb060f4efe96a96d43b1e"> 168</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aec386501911cb060f4efe96a96d43b1e">AppendEntriesWithOffset</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& sparse_vector, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> offset);</div>
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<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  </div>
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<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">// Returns true when the vector contains no duplicates. Runs in</span></div>
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<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="comment">// O(max_index + num_entries), max_index being the largest index in entry.</span></div>
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<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">// This method allocates (and deletes) a Boolean array of size max_index.</span></div>
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<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// Note that we use a mutable Boolean to make subsequent call runs in O(1).</span></div>
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<div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f"> 174</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">CheckNoDuplicates</a>() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  </div>
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<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Same as CheckNoDuplicates() except it uses a reusable boolean vector</span></div>
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<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">// to make the code more efficient. Runs in O(num_entries).</span></div>
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<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// Note that boolean_vector should be initialized to false before calling this</span></div>
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<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="comment">// method; It will remain equal to false after calls to CheckNoDuplicates().</span></div>
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<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Note that we use a mutable Boolean to make subsequent call runs in O(1).</span></div>
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<div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#adfbfc262311c67917a9a512479f57cee"> 181</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#adfbfc262311c67917a9a512479f57cee">CheckNoDuplicates</a>(<a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">StrictITIVector<Index, bool></a>* boolean_vector) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  </div>
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<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">// Defines the coefficient at index, i.e. vector[index] = value;</span></div>
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<div class="line"><a name="l00184"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aeff6ae7073f423651fc0352d50cadfa6"> 184</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aeff6ae7073f423651fc0352d50cadfa6">SetCoefficient</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>);</div>
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<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  </div>
|
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<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="comment">// Removes an entry from the vector if present. The order of the other entries</span></div>
|
|
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="comment">// is preserved. Runs in O(num_entries).</span></div>
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<div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae97d1a6fec074ce450bed0e5dac4206b"> 188</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae97d1a6fec074ce450bed0e5dac4206b">DeleteEntry</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>);</div>
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<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  </div>
|
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<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="comment">// Sets to 0.0 (i.e. remove) all entries whose fabs() is lower or equal to</span></div>
|
|
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="comment">// the given threshold.</span></div>
|
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<div class="line"><a name="l00192"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad11cba1c8c81998cfecb25256c6c152f"> 192</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad11cba1c8c81998cfecb25256c6c152f">RemoveNearZeroEntries</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> threshold);</div>
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<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  </div>
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<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="comment">// Same as RemoveNearZeroEntries, but the entry magnitude of each row is</span></div>
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<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="comment">// multiplied by weights[row] before being compared with threshold.</span></div>
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<div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5b9746c75f781968b2f21e2e5701cd84"> 196</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5b9746c75f781968b2f21e2e5701cd84">RemoveNearZeroEntriesWithWeights</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> threshold,</div>
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<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>& weights);</div>
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<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  </div>
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<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="comment">// Moves the entry with given Index to the first position in the vector. If</span></div>
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<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="comment">// the entry is not present, nothing happens.</span></div>
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<div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad7778a6937eded6496aea6620e571540"> 201</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad7778a6937eded6496aea6620e571540">MoveEntryToFirstPosition</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>);</div>
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<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  </div>
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<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// Moves the entry with given Index to the last position in the vector. If</span></div>
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<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// the entry is not present, nothing happens.</span></div>
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<div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae2b7225384bfdf8e58618b2cfc3b96aa"> 205</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae2b7225384bfdf8e58618b2cfc3b96aa">MoveEntryToLastPosition</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>);</div>
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<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  </div>
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<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// Multiplies all entries by factor.</span></div>
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<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// i.e. entry.coefficient *= factor.</span></div>
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<div class="line"><a name="l00209"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a997af931ec11394cec3418321c2ecc4b"> 209</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a997af931ec11394cec3418321c2ecc4b">MultiplyByConstant</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> factor);</div>
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<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  </div>
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<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// Multiplies all entries by its corresponding factor,</span></div>
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<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="comment">// i.e. entry.coefficient *= factors[entry.index].</span></div>
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<div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a09a2901ab63e665486a0b32347b9fab6"> 213</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a09a2901ab63e665486a0b32347b9fab6">ComponentWiseMultiply</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>& factors);</div>
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<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  </div>
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<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="comment">// Divides all entries by factor.</span></div>
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<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// i.e. entry.coefficient /= factor.</span></div>
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<div class="line"><a name="l00217"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a88cf92566c4a4b0281ea82571f4269ad"> 217</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a88cf92566c4a4b0281ea82571f4269ad">DivideByConstant</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> factor);</div>
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<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  </div>
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<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="comment">// Divides all entries by its corresponding factor,</span></div>
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<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">// i.e. entry.coefficient /= factors[entry.index].</span></div>
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<div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa914fdd75c35b81e5df7fba7b9d23925"> 221</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa914fdd75c35b81e5df7fba7b9d23925">ComponentWiseDivide</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>& factors);</div>
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<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  </div>
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<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="comment">// Populates a dense vector from the sparse vector.</span></div>
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<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">// Runs in O(num_indices) as the dense vector values have to be reset to 0.0.</span></div>
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<div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a387d5cff55d1368a3a116a9ee4ed1865"> 225</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a387d5cff55d1368a3a116a9ee4ed1865">CopyToDenseVector</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> num_indices, <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>* dense_vector) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div>
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<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// Populates a dense vector from the permuted sparse vector.</span></div>
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<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// Runs in O(num_indices) as the dense vector values have to be reset to 0.0.</span></div>
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<div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a6596af814c971da5d9c7b257ead2c1ea"> 229</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a6596af814c971da5d9c7b257ead2c1ea">PermutedCopyToDenseVector</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">IndexPermutation</a>& index_perm,</div>
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<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> num_indices,</div>
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<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>* dense_vector) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  </div>
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<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// Performs the operation dense_vector += multiplier * this.</span></div>
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<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="comment">// This is known as multiply-accumulate or (fused) multiply-add.</span></div>
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<div class="line"><a name="l00235"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a52c0ccd912e2cd8958d0572d9351e545"> 235</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a52c0ccd912e2cd8958d0572d9351e545">AddMultipleToDenseVector</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> multiplier,</div>
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<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>* dense_vector) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  </div>
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<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="comment">// WARNING: BOTH vectors (the current and the destination) MUST be "clean",</span></div>
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<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="comment">// i.e. sorted and without duplicates.</span></div>
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<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="comment">// Performs the operation accumulator_vector += multiplier * this, removing</span></div>
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<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// a given index which must be in both vectors, and pruning new entries whose</span></div>
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<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="comment">// absolute value are under the given drop_tolerance.</span></div>
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<div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a671198915bf3805882a4d44f6a07e810"> 243</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a671198915bf3805882a4d44f6a07e810">AddMultipleToSparseVectorAndDeleteCommonIndex</a>(</div>
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<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> multiplier, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> removed_common_index,</div>
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<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> drop_tolerance, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* accumulator_vector) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  </div>
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<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="comment">// Same as AddMultipleToSparseVectorAndDeleteCommonIndex() but instead of</span></div>
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<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// deleting the common index, leave it unchanged.</span></div>
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<div class="line"><a name="l00249"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#acbe5fe3c9ab60ea1e58181a5e09a8582"> 249</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#acbe5fe3c9ab60ea1e58181a5e09a8582">AddMultipleToSparseVectorAndIgnoreCommonIndex</a>(</div>
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<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> multiplier, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> removed_common_index,</div>
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<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> drop_tolerance, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* accumulator_vector) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  </div>
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<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="comment">// Applies the index permutation to all entries: index = index_perm[index];</span></div>
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<div class="line"><a name="l00254"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a26c6671e6e61e499345478296662f877"> 254</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a26c6671e6e61e499345478296662f877">ApplyIndexPermutation</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">IndexPermutation</a>& index_perm);</div>
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<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  </div>
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<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">// Same as ApplyIndexPermutation but deletes the index if index_perm[index]</span></div>
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<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// is negative.</span></div>
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<div class="line"><a name="l00258"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab8dd8d63ac93466fd078c53589bb3222"> 258</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab8dd8d63ac93466fd078c53589bb3222">ApplyPartialIndexPermutation</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">IndexPermutation</a>& index_perm);</div>
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<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  </div>
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<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="comment">// Removes the entries for which index_perm[index] is non-negative and appends</span></div>
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<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="comment">// them to output. Note that the index of the entries are NOT permuted.</span></div>
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<div class="line"><a name="l00262"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a21b9c78ccfbd2179209b0e5835bde125"> 262</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a21b9c78ccfbd2179209b0e5835bde125">MoveTaggedEntriesTo</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">IndexPermutation</a>& index_perm,</div>
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<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* output);</div>
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<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  </div>
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<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="comment">// Returns the coefficient at position index.</span></div>
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<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="comment">// Call with care: runs in O(number-of-entries) as entries may not be sorted.</span></div>
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<div class="line"><a name="l00267"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a39a185056b395c7ed7e8d5c41df3bc6b"> 267</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a39a185056b395c7ed7e8d5c41df3bc6b">LookUpCoefficient</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  </div>
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<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="comment">// Note this method can only be used when the vector has no duplicates.</span></div>
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<div class="line"><a name="l00270"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af69d9b7065a8f31604a8134be4307749"> 270</a></span>  EntryIndex <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af69d9b7065a8f31604a8134be4307749">num_entries</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">CheckNoDuplicates</a>());</div>
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<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">return</span> EntryIndex(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>);</div>
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<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  }</div>
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<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  </div>
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<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">// Returns the first entry's index and coefficient; note that 'first' doesn't</span></div>
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<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// mean 'entry with the smallest index'.</span></div>
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<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// Runs in O(1).</span></div>
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<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="comment">// Note this method can only be used when the vector has no duplicates.</span></div>
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<div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a8fb138af3a08b1c6a806ea4c094f8fa6"> 279</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a8fb138af3a08b1c6a806ea4c094f8fa6">GetFirstIndex</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">CheckNoDuplicates</a>());</div>
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<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2a98cf268b78708b773df1b95dcba545">GetIndex</a>(EntryIndex(0));</div>
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<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div>
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<div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae7c152aafe19515204c65dadcdc876d6"> 283</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae7c152aafe19515204c65dadcdc876d6">GetFirstCoefficient</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">CheckNoDuplicates</a>());</div>
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<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aee58c48c57d6575064f1dd9a66077fad">GetCoefficient</a>(EntryIndex(0));</div>
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<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  }</div>
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<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  </div>
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<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="comment">// Like GetFirst*, but for the last entry.</span></div>
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<div class="line"><a name="l00289"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a88e72aace64cc885956a2a9784768ebb"> 289</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a88e72aace64cc885956a2a9784768ebb">GetLastIndex</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">CheckNoDuplicates</a>());</div>
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<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2a98cf268b78708b773df1b95dcba545">GetIndex</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af69d9b7065a8f31604a8134be4307749">num_entries</a>() - 1);</div>
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<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div>
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<div class="line"><a name="l00293"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae5c3c9c4d7a89a612cdb2ca5a50291d7"> 293</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae5c3c9c4d7a89a612cdb2ca5a50291d7">GetLastCoefficient</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">CheckNoDuplicates</a>());</div>
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<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aee58c48c57d6575064f1dd9a66077fad">GetCoefficient</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af69d9b7065a8f31604a8134be4307749">num_entries</a>() - 1);</div>
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<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div>
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<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  </div>
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<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="comment">// Allows to loop over the entry indices like this:</span></div>
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<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="comment">// for (const EntryIndex i : sparse_vector.AllEntryIndices()) { ... }</span></div>
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<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="comment">// TODO(user): consider removing this, in favor of the natural range</span></div>
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<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// iteration.</span></div>
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<div class="line"><a name="l00302"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a476c8137345706731f84160f23bbf90b"> 302</a></span>  <a class="code" href="classutil_1_1_integer_range.html">::util::IntegerRange<EntryIndex></a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a476c8137345706731f84160f23bbf90b">AllEntryIndices</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  return ::util::IntegerRange<EntryIndex>(EntryIndex(0), <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>);</div>
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<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  }</div>
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<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  </div>
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<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// Returns true if this vector is exactly equal to the given one, i.e. all its</span></div>
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<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="comment">// index indices and coefficients appear in the same order and are equal.</span></div>
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<div class="line"><a name="l00308"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae79a5d315b1482f609e3e367e58e2f59"> 308</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae79a5d315b1482f609e3e367e58e2f59">IsEqualTo</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& other) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  </div>
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<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="comment">// An exhaustive, pretty-printed listing of the entries, in their</span></div>
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<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">// internal order. a.DebugString() == b.DebugString() iff a.IsEqualTo(b).</span></div>
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<div class="line"><a name="l00312"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a764be64f3029f8b8e23511061d8de355"> 312</a></span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a764be64f3029f8b8e23511061d8de355">DebugString</a>() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  </div>
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<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">protected</span>:</div>
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<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="comment">// Adds a new entry to the sparse vector, growing the internal buffer if</span></div>
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<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="comment">// needed. It does not set may_contain_duplicates_ to true.</span></div>
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<div class="line"><a name="l00317"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae447e64b3613f1479a87f4b5fe01b90e"> 317</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae447e64b3613f1479a87f4b5fe01b90e">AddEntry</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>) {</div>
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<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="base_2logging_8h.html#aae2dc65d9ea248d54bf39daa986dd295">DCHECK_GE</a>(<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>, 0);</div>
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<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="comment">// Grow the internal storage if there is no space left for the new entry. We</span></div>
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<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="comment">// increase the size to max(4, 1.5*current capacity).</span></div>
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<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">if</span> (<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a> == <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e">capacity_</a>) {</div>
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<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// Reserve(capacity_ == 0 ? EntryIndex(4)</span></div>
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<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="comment">// : EntryIndex(2 * capacity_.value()));</span></div>
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<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae90055942b6d795d495d370afed742a9">Reserve</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e">capacity_</a> == 0 ? EntryIndex(4)</div>
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<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  : EntryIndex(2 * <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e">capacity_</a>.value()));</div>
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<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="base_2logging_8h.html#ab62f5ed8f2d48e29802be0cbbcd1359a">DCHECK_LT</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e">capacity_</a>);</div>
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<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div>
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<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">const</span> EntryIndex new_entry_index = <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>;</div>
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<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  ++<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>;</div>
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<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">MutableIndex</a>(new_entry_index) = <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>;</div>
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<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">MutableCoefficient</a>(new_entry_index) = <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>;</div>
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<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  }</div>
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<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  </div>
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<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="comment">// Resizes the sparse vector to a smaller size, without re-allocating the</span></div>
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<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="comment">// internal storage.</span></div>
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<div class="line"><a name="l00336"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a543db852628b18af95e0c23bbb47cf9d"> 336</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a543db852628b18af95e0c23bbb47cf9d">ResizeDown</a>(EntryIndex new_size) {</div>
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<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <a class="code" href="base_2logging_8h.html#aae2dc65d9ea248d54bf39daa986dd295">DCHECK_GE</a>(new_size, 0);</div>
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<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="base_2logging_8h.html#a4395e95bab44e222cb2e77251017a0e2">DCHECK_LE</a>(new_size, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>);</div>
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<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a> = new_size;</div>
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<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  }</div>
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<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  </div>
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<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="comment">// Read-only access to the indices and coefficients of the entries of the</span></div>
|
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<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="comment">// sparse vector.</span></div>
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<div class="line"><a name="l00344"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2a98cf268b78708b773df1b95dcba545"> 344</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2a98cf268b78708b773df1b95dcba545">GetIndex</a>(EntryIndex i)<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="base_2logging_8h.html#aae2dc65d9ea248d54bf39daa986dd295">DCHECK_GE</a>(i, 0);</div>
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<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="base_2logging_8h.html#ab62f5ed8f2d48e29802be0cbbcd1359a">DCHECK_LT</a>(i, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>);</div>
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<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a57ee554e62a0feea0562e77e3513570a">index_</a>[i.value()];</div>
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<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div>
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<div class="line"><a name="l00349"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aee58c48c57d6575064f1dd9a66077fad"> 349</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aee58c48c57d6575064f1dd9a66077fad">GetCoefficient</a>(EntryIndex i)<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="base_2logging_8h.html#aae2dc65d9ea248d54bf39daa986dd295">DCHECK_GE</a>(i, 0);</div>
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<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <a class="code" href="base_2logging_8h.html#ab62f5ed8f2d48e29802be0cbbcd1359a">DCHECK_LT</a>(i, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>);</div>
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<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a75a3a51c4c4a0561602701caa96d17a6">coefficient_</a>[i.value()];</div>
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<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</div>
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<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  </div>
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<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// Mutable access to the indices and coefficients of the entries of the sparse</span></div>
|
|
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="comment">// vector.</span></div>
|
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<div class="line"><a name="l00357"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224"> 357</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a>& <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">MutableIndex</a>(EntryIndex i) {</div>
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<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <a class="code" href="base_2logging_8h.html#aae2dc65d9ea248d54bf39daa986dd295">DCHECK_GE</a>(i, 0);</div>
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<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="base_2logging_8h.html#ab62f5ed8f2d48e29802be0cbbcd1359a">DCHECK_LT</a>(i, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>);</div>
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<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a57ee554e62a0feea0562e77e3513570a">index_</a>[i.value()];</div>
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<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div>
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<div class="line"><a name="l00362"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d"> 362</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>& <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">MutableCoefficient</a>(EntryIndex i) {</div>
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<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="base_2logging_8h.html#aae2dc65d9ea248d54bf39daa986dd295">DCHECK_GE</a>(i, 0);</div>
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<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="base_2logging_8h.html#ab62f5ed8f2d48e29802be0cbbcd1359a">DCHECK_LT</a>(i, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>);</div>
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<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a75a3a51c4c4a0561602701caa96d17a6">coefficient_</a>[i.value()];</div>
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<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  }</div>
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<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  </div>
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<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="comment">// The internal storage of the sparse vector. Both the indices and the</span></div>
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<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="comment">// coefficients are stored in the same buffer; the first</span></div>
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<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="comment">// sizeof(Index)*capacity_ bytes are used for storing the indices, the</span></div>
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<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="comment">// following sizeof(Fractional)*capacity_ bytes contain the values. This</span></div>
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<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="comment">// representation ensures that for small vectors, both the indices and the</span></div>
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<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="comment">// coefficients are in the same page/cache line.</span></div>
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<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="comment">// We use a single buffer for both arrays. The amount of data copied during</span></div>
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<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="comment">// relocations is the same in both cases, and it is much smaller than the cost</span></div>
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<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="comment">// of an additional allocation - especially when the vectors are small.</span></div>
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<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="comment">// Moreover, using two separate vectors/buffers would mean that even small</span></div>
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<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// vectors would be spread across at least two different cache lines.</span></div>
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<div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0c937ffd2b3552195e34010bb48895f0"> 379</a></span>  std::unique_ptr<char[]> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0c937ffd2b3552195e34010bb48895f0">buffer_</a>;</div>
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<div class="line"><a name="l00380"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65"> 380</a></span>  EntryIndex <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>;</div>
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<div class="line"><a name="l00381"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e"> 381</a></span>  EntryIndex <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e">capacity_</a>;</div>
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<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  </div>
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<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="comment">// Pointers to the first elements of the index and coefficient arrays.</span></div>
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<div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a57ee554e62a0feea0562e77e3513570a"> 384</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a>* <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a57ee554e62a0feea0562e77e3513570a">index_</a>;</div>
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<div class="line"><a name="l00385"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a75a3a51c4c4a0561602701caa96d17a6"> 385</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>* <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a75a3a51c4c4a0561602701caa96d17a6">coefficient_</a>;</div>
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<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  </div>
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<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="comment">// This is here to speed up the CheckNoDuplicates() methods and is mutable</span></div>
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<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="comment">// so we can perform checks on const argument.</span></div>
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<div class="line"><a name="l00389"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a73b710196d5dda7d839551159f54c5c9"> 389</a></span>  <span class="keyword">mutable</span> <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a73b710196d5dda7d839551159f54c5c9">may_contain_duplicates_</a>;</div>
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<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  </div>
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<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keyword">private</span>:</div>
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<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="comment">// Actual implementation of AddMultipleToSparseVectorAndDeleteCommonIndex()</span></div>
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<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="comment">// and AddMultipleToSparseVectorAndIgnoreCommonIndex() which is shared.</span></div>
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<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordtype">void</span> AddMultipleToSparseVectorInternal(</div>
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<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordtype">bool</span> delete_common_index, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> multiplier, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> common_index,</div>
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<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> drop_tolerance, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* accumulator_vector) <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00397"></a><span class="lineno"> 397</span> };</div>
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<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  </div>
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<div class="line"><a name="l00399"></a><span class="lineno"> 399</span> <span class="comment">// --------------------------------------------------------</span></div>
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<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="comment">// SparseVectorEntry</span></div>
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<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="comment">// --------------------------------------------------------</span></div>
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<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  </div>
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<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <span class="comment">// A reference-like class that points to a certain element of a sparse data</span></div>
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<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <span class="comment">// structure that stores its elements in two parallel arrays. The main purpose</span></div>
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<div class="line"><a name="l00405"></a><span class="lineno"> 405</span> <span class="comment">// of the entry class is to support implementation of iterator objects over the</span></div>
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|
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span> <span class="comment">// sparse data structure.</span></div>
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<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> <span class="comment">// Note that the entry object does not own the data, and it is valid only as</span></div>
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<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="comment">// long as the underlying sparse data structure; it may also be invalidated if</span></div>
|
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<div class="line"><a name="l00409"></a><span class="lineno"> 409</span> <span class="comment">// the underlying sparse data structure is modified.</span></div>
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|
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType></div>
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<div class="line"><a name="l00411"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html"> 411</a></span> <span class="keyword">class </span><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html">SparseVectorEntry</a> {</div>
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<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keyword">public</span>:</div>
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<div class="line"><a name="l00413"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a7147061a6e31f8592bee1a6f845df195"> 413</a></span>  <span class="keyword">using</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a7147061a6e31f8592bee1a6f845df195">Index</a> = IndexType;</div>
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<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  </div>
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<div class="line"><a name="l00415"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a70df641c5212f2d7cd26b31595daa5b2"> 415</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a7147061a6e31f8592bee1a6f845df195">Index</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a70df641c5212f2d7cd26b31595daa5b2">index</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#af07d83f6746e367a50ed1d3d182015a1">index_</a>[<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a551138be96f32581e2236d2468384adf">i_</a>.value()]; }</div>
|
|
<div class="line"><a name="l00416"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a8d1325f6bfc62504f70bb527af18bbd8"> 416</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a8d1325f6bfc62504f70bb527af18bbd8">coefficient</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#aa5073f3fbade604ea7ce5b99612b2778">coefficient_</a>[<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a551138be96f32581e2236d2468384adf">i_</a>.value()]; }</div>
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<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  </div>
|
|
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">protected</span>:</div>
|
|
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="comment">// Creates the sparse vector entry from the given base pointers and the index.</span></div>
|
|
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="comment">// We accept the low-level data structures rather than a SparseVector</span></div>
|
|
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="comment">// reference to make it possible to use the SparseVectorEntry and</span></div>
|
|
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="comment">// SparseVectorIterator classes also for other data structures using the same</span></div>
|
|
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="comment">// internal data representation.</span></div>
|
|
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="comment">// Note that the constructor is intentionally made protected, so that the</span></div>
|
|
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="comment">// entry can be created only as a part of the construction of an iterator over</span></div>
|
|
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="comment">// a sparse data structure.</span></div>
|
|
<div class="line"><a name="l00427"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#ae74ae5d3002e12ecb0b066dc3be58f52"> 427</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#ae74ae5d3002e12ecb0b066dc3be58f52">SparseVectorEntry</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a7147061a6e31f8592bee1a6f845df195">Index</a>* indices, <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>* <a class="code" href="sat_2lp__utils_8cc.html#ab1734711414da2e668957d24a41b1ddf">coefficients</a>,</div>
|
|
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  EntryIndex i)</div>
|
|
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  : <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a551138be96f32581e2236d2468384adf">i_</a>(i), <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#af07d83f6746e367a50ed1d3d182015a1">index_</a>(indices), <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#aa5073f3fbade604ea7ce5b99612b2778">coefficient_</a>(<a class="code" href="sat_2lp__utils_8cc.html#ab1734711414da2e668957d24a41b1ddf">coefficients</a>) {}</div>
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<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  </div>
|
|
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="comment">// The index of the sparse vector entry represented by this object.</span></div>
|
|
<div class="line"><a name="l00432"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a551138be96f32581e2236d2468384adf"> 432</a></span>  EntryIndex <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a551138be96f32581e2236d2468384adf">i_</a>;</div>
|
|
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="comment">// The index and coefficient arrays of the sparse vector.</span></div>
|
|
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="comment">// NOTE(user): Keeping directly the index and the base pointers gives the</span></div>
|
|
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="comment">// best performance with a tiny margin of the options:</span></div>
|
|
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="comment">// 1. keep the base pointers and an index of the current entry,</span></div>
|
|
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="comment">// 2. keep pointers to the current index and the current coefficient and</span></div>
|
|
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="comment">// increment both when moving the iterator.</span></div>
|
|
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="comment">// 3. keep a pointer to the sparse vector object and the index of the current</span></div>
|
|
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="comment">// entry.</span></div>
|
|
<div class="line"><a name="l00441"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#af07d83f6746e367a50ed1d3d182015a1"> 441</a></span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a7147061a6e31f8592bee1a6f845df195">Index</a>* <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#af07d83f6746e367a50ed1d3d182015a1">index_</a>;</div>
|
|
<div class="line"><a name="l00442"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#aa5073f3fbade604ea7ce5b99612b2778"> 442</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>* <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#aa5073f3fbade604ea7ce5b99612b2778">coefficient_</a>;</div>
|
|
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span> };</div>
|
|
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  </div>
|
|
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a13baa7e81d062b02cc3e598325fa43fe"> 446</a></span> IteratorType <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a13baa7e81d062b02cc3e598325fa43fe">SparseVector<IndexType, IteratorType>::begin</a>()<span class="keyword"> const </span>{</div>
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|
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad2549de12e3ef2a9a92b6e24ba1416d5">Iterator</a>(this->index_, this->coefficient_, EntryIndex(0));</div>
|
|
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span> }</div>
|
|
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  </div>
|
|
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00451"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae00a75dd2e8b41c5dd3f7948f4e7d576"> 451</a></span> IteratorType <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae00a75dd2e8b41c5dd3f7948f4e7d576">SparseVector<IndexType, IteratorType>::end</a>()<span class="keyword"> const </span>{</div>
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|
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad2549de12e3ef2a9a92b6e24ba1416d5">Iterator</a>(this->index_, this->coefficient_, num_entries_);</div>
|
|
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span> }</div>
|
|
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  </div>
|
|
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span> <span class="comment">// --------------------------------------------------------</span></div>
|
|
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span> <span class="comment">// SparseVector implementation</span></div>
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<div class="line"><a name="l00457"></a><span class="lineno"> 457</span> <span class="comment">// --------------------------------------------------------</span></div>
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<div class="line"><a name="l00458"></a><span class="lineno"> 458</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00459"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aac320ba03bf08d6af55331d499c6b66e"> 459</a></span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aac320ba03bf08d6af55331d499c6b66e">SparseVector<IndexType, IteratorType>::SparseVector</a>()</div>
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<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  : num_entries_(0),</div>
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<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  capacity_(0),</div>
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<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  index_(nullptr),</div>
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<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  coefficient_(nullptr),</div>
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<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  may_contain_duplicates_(false) {}</div>
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<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  </div>
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<div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af52377dfe1d0e31194f6cc97c4ef563a"> 467</a></span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aac320ba03bf08d6af55331d499c6b66e">SparseVector<IndexType, IteratorType>::SparseVector</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& other) {</div>
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<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  PopulateFromSparseVector(other);</div>
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<div class="line"><a name="l00469"></a><span class="lineno"> 469</span> }</div>
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<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  </div>
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<div class="line"><a name="l00471"></a><span class="lineno"> 471</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector<IndexType, IteratorType></a>&</div>
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<div class="line"><a name="l00473"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a449a2e1e630b1e2443bec9987f40370c"> 473</a></span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a449a2e1e630b1e2443bec9987f40370c">SparseVector<IndexType, IteratorType>::operator=</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& other) {</div>
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<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  PopulateFromSparseVector(other);</div>
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<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
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<div class="line"><a name="l00476"></a><span class="lineno"> 476</span> }</div>
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<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  </div>
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<div class="line"><a name="l00478"></a><span class="lineno"> 478</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00479"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa71d36872f416feaa853788a7a7a7ef8"> 479</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa71d36872f416feaa853788a7a7a7ef8">SparseVector<IndexType, IteratorType>::Clear</a>() {</div>
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<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  num_entries_ = EntryIndex(0);</div>
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<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  may_contain_duplicates_ = <span class="keyword">false</span>;</div>
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<div class="line"><a name="l00482"></a><span class="lineno"> 482</span> }</div>
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<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  </div>
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<div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00485"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0b0c31ccfdd27c59cc9b6f270aaa14c4"> 485</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0b0c31ccfdd27c59cc9b6f270aaa14c4">SparseVector<IndexType, IteratorType>::ClearAndRelease</a>() {</div>
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<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  capacity_ = EntryIndex(0);</div>
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<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  num_entries_ = EntryIndex(0);</div>
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<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  index_ = <span class="keyword">nullptr</span>;</div>
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<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  coefficient_ = <span class="keyword">nullptr</span>;</div>
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<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  buffer_.reset();</div>
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<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  may_contain_duplicates_ = <span class="keyword">false</span>;</div>
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<div class="line"><a name="l00492"></a><span class="lineno"> 492</span> }</div>
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<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  </div>
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<div class="line"><a name="l00494"></a><span class="lineno"> 494</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00495"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae90055942b6d795d495d370afed742a9"> 495</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae90055942b6d795d495d370afed742a9">SparseVector<IndexType, IteratorType>::Reserve</a>(EntryIndex new_capacity) {</div>
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<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordflow">if</span> (new_capacity <= capacity_) <span class="keywordflow">return</span>;</div>
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<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="comment">// Round up the capacity to a multiple of four. This way, the start of the</span></div>
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<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="comment">// coefficient array will be aligned to 16-bytes, provided that the buffer</span></div>
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<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="comment">// used for storing the data is aligned in that way.</span></div>
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<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">if</span> (new_capacity.value() & 3) {</div>
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<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  new_capacity += EntryIndex(4 - (new_capacity.value() & 3));</div>
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<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  }</div>
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<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  </div>
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<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> index_buffer_size = new_capacity.value() * <span class="keyword">sizeof</span>(<a class="code" href="namespaceoperations__research_1_1glop.html#abec9e934a51aa2ab519684cc0f446a41">Index</a>);</div>
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<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> value_buffer_size = new_capacity.value() * <span class="keyword">sizeof</span>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>);</div>
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<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> new_buffer_size = index_buffer_size + value_buffer_size;</div>
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<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  std::unique_ptr<char[]> new_buffer(<span class="keyword">new</span> <span class="keywordtype">char</span>[new_buffer_size]);</div>
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<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  IndexType* <span class="keyword">const</span> new_index = <span class="keyword">reinterpret_cast<</span><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a>*<span class="keyword">></span>(new_buffer.get());</div>
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<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>* <span class="keyword">const</span> new_coefficient =</div>
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<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keyword">reinterpret_cast<</span><a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>*<span class="keyword">></span>(new_index + new_capacity.value());</div>
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<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  </div>
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<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="comment">// Avoid copying the data if the vector is empty.</span></div>
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<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">if</span> (num_entries_ > 0) {</div>
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<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="comment">// NOTE(user): We use memmove instead of std::copy, because the latter</span></div>
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<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// leads to naive copying code when used with strong ints (a loop that</span></div>
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<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="comment">// copies a single 32-bit value in each iteration), and as of 06/2016,</span></div>
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<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="comment">// memmove is 3-4x faster on Haswell.</span></div>
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<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  std::memmove(new_index, index_, <span class="keyword">sizeof</span>(IndexType) * num_entries_.value());</div>
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<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  std::memmove(new_coefficient, coefficient_,</div>
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<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keyword">sizeof</span>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>) * num_entries_.value());</div>
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<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div>
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<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  std::swap(buffer_, new_buffer);</div>
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<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  index_ = new_index;</div>
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<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  coefficient_ = new_coefficient;</div>
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<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  capacity_ = new_capacity;</div>
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<div class="line"><a name="l00526"></a><span class="lineno"> 526</span> }</div>
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<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  </div>
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<div class="line"><a name="l00528"></a><span class="lineno"> 528</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00529"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a8e12342fc420701fbffd97025421575a"> 529</a></span> <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a8e12342fc420701fbffd97025421575a">SparseVector<IndexType, IteratorType>::IsEmpty</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">return</span> num_entries_ == EntryIndex(0);</div>
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<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> }</div>
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<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  </div>
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<div class="line"><a name="l00533"></a><span class="lineno"> 533</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a22626b1f1e195d8940de17a320debca0"> 534</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a22626b1f1e195d8940de17a320debca0">SparseVector<IndexType, IteratorType>::Swap</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* other) {</div>
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<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  std::swap(buffer_, other-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0c937ffd2b3552195e34010bb48895f0">buffer_</a>);</div>
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<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  std::swap(num_entries_, other-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>);</div>
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<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  std::swap(capacity_, other-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e">capacity_</a>);</div>
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<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  std::swap(may_contain_duplicates_, other-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a73b710196d5dda7d839551159f54c5c9">may_contain_duplicates_</a>);</div>
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<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  std::swap(index_, other-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a57ee554e62a0feea0562e77e3513570a">index_</a>);</div>
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<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  std::swap(coefficient_, other-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a75a3a51c4c4a0561602701caa96d17a6">coefficient_</a>);</div>
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<div class="line"><a name="l00541"></a><span class="lineno"> 541</span> }</div>
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<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  </div>
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<div class="line"><a name="l00543"></a><span class="lineno"> 543</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00544"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#abfc30f91ab75c6f4552003f777672e74"> 544</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#abfc30f91ab75c6f4552003f777672e74">SparseVector<IndexType, IteratorType>::CleanUp</a>() {</div>
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<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="comment">// TODO(user): Implement in-place sorting of the entries and cleanup. The</span></div>
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<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="comment">// current version converts the data to an array-of-pairs representation that</span></div>
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<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="comment">// can be sorted easily with std::stable_sort, and the converts the sorted</span></div>
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<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="comment">// data back to the struct-of-arrays implementation.</span></div>
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<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">// The current version is ~20% slower than the in-place sort on the</span></div>
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<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="comment">// array-of-struct representation. It is not visible on GLOP benchmarks, but</span></div>
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<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="comment">// it increases peak memory usage by ~8%.</span></div>
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<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="comment">// Implementing in-place search will require either implementing a custom</span></div>
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<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="comment">// sorting code, or custom iterators that abstract away the internal</span></div>
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<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="comment">// representation.</span></div>
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<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  std::vector<std::pair<Index, Fractional>> entries;</div>
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<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  entries.reserve(num_entries_.value());</div>
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<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keywordflow">for</span> (EntryIndex i(0); i < num_entries_; ++i) {</div>
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<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  entries.emplace_back(GetIndex(i), <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i));</div>
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<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  }</div>
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<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  std::stable_sort(</div>
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<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  entries.begin(), entries.end(),</div>
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<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  [](<span class="keyword">const</span> std::pair<Index, Fractional>& <a class="code" href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a>,</div>
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<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keyword">const</span> std::pair<Index, Fractional>& <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>) { return a.first < b.first; });</div>
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<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  </div>
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<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  EntryIndex new_size(0);</div>
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<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < num_entries_; ++i) {</div>
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<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keyword">const</span> std::pair<Index, Fractional> entry = entries[i];</div>
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<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">if</span> (entry.second == 0.0) <span class="keywordflow">continue</span>;</div>
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<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keywordflow">if</span> (i + 1 == num_entries_ || entry.first != entries[i + 1].first) {</div>
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<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  MutableIndex(new_size) = entry.first;</div>
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<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  MutableCoefficient(new_size) = entry.second;</div>
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<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  ++new_size;</div>
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<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  }</div>
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<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  }</div>
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<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  ResizeDown(new_size);</div>
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<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  may_contain_duplicates_ = <span class="keyword">false</span>;</div>
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<div class="line"><a name="l00577"></a><span class="lineno"> 577</span> }</div>
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<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  </div>
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<div class="line"><a name="l00579"></a><span class="lineno"> 579</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00580"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5e016d204d43b2cc4a2773c25462968a"> 580</a></span> <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5e016d204d43b2cc4a2773c25462968a">SparseVector<IndexType, IteratorType>::IsCleanedUp</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> previous_index(-1);</div>
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<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a> = GetIndex(i);</div>
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<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">if</span> (<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a> <= previous_index || <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i) == 0.0) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
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<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  previous_index = <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>;</div>
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<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div>
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<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  may_contain_duplicates_ = <span class="keyword">false</span>;</div>
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<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
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<div class="line"><a name="l00589"></a><span class="lineno"> 589</span> }</div>
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<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  </div>
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<div class="line"><a name="l00591"></a><span class="lineno"> 591</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00592"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af3346e19f245a59be830e9558002d2d4"> 592</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af3346e19f245a59be830e9558002d2d4">SparseVector<IndexType, IteratorType>::PopulateFromSparseVector</a>(</div>
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<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& sparse_vector) {</div>
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<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="comment">// Clear the sparse vector before reserving the new capacity. If we didn't do</span></div>
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<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="comment">// this, Reserve would have to copy the current contents of the vector if it</span></div>
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<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="comment">// allocated a new buffer. This would be wasteful, since we overwrite it in</span></div>
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<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="comment">// the next step anyway.</span></div>
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<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  Clear();</div>
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<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  Reserve(sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e">capacity_</a>);</div>
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<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="comment">// NOTE(user): Using a single memmove would be slightly faster, but it</span></div>
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<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="comment">// would not work correctly if this already had a greater capacity than</span></div>
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<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="comment">// sparse_vector, because the coefficient_ pointer would be positioned</span></div>
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<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="comment">// incorrectly.</span></div>
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<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  std::memmove(index_, sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a57ee554e62a0feea0562e77e3513570a">index_</a>,</div>
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<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keyword">sizeof</span>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a>) * sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>.value());</div>
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<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  std::memmove(coefficient_, sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a75a3a51c4c4a0561602701caa96d17a6">coefficient_</a>,</div>
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<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keyword">sizeof</span>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>) * sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>.value());</div>
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|
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  num_entries_ = sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a>;</div>
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<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  may_contain_duplicates_ = sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a73b710196d5dda7d839551159f54c5c9">may_contain_duplicates_</a>;</div>
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<div class="line"><a name="l00610"></a><span class="lineno"> 610</span> }</div>
|
|
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  </div>
|
|
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00613"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0dc13527444f4ff471194a69da9e0851"> 613</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0dc13527444f4ff471194a69da9e0851">SparseVector<IndexType, IteratorType>::PopulateFromDenseVector</a>(</div>
|
|
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>& dense_vector) {</div>
|
|
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  Clear();</div>
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|
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> num_indices(dense_vector.<a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html#a967a5c081ad4195a30c78dc2c0bcabf5">size</a>());</div>
|
|
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keywordflow">for</span> (<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>(0); <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a> < num_indices; ++<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) {</div>
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|
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">if</span> (dense_vector[<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>] != 0.0) {</div>
|
|
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  SetCoefficient(<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>, dense_vector[<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>]);</div>
|
|
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  }</div>
|
|
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  }</div>
|
|
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  may_contain_duplicates_ = <span class="keyword">false</span>;</div>
|
|
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span> }</div>
|
|
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  </div>
|
|
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00626"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aec386501911cb060f4efe96a96d43b1e"> 626</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aec386501911cb060f4efe96a96d43b1e">SparseVector<IndexType, IteratorType>::AppendEntriesWithOffset</a>(</div>
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|
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& sparse_vector, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> offset) {</div>
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|
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a476c8137345706731f84160f23bbf90b">AllEntryIndices</a>()) {</div>
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|
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> new_index = offset + sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2a98cf268b78708b773df1b95dcba545">GetIndex</a>(i);</div>
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<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <a class="code" href="base_2logging_8h.html#aae2dc65d9ea248d54bf39daa986dd295">DCHECK_GE</a>(new_index, 0);</div>
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<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  AddEntry(new_index, sparse_vector.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aee58c48c57d6575064f1dd9a66077fad">GetCoefficient</a>(i));</div>
|
|
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  }</div>
|
|
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  may_contain_duplicates_ = <span class="keyword">true</span>;</div>
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|
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span> }</div>
|
|
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  </div>
|
|
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00637"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#adfbfc262311c67917a9a512479f57cee"> 637</a></span> <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">SparseVector<IndexType, IteratorType>::CheckNoDuplicates</a>(</div>
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|
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">StrictITIVector<IndexType, bool></a>* boolean_vector)<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <a class="code" href="return__macros_8h.html#af7e921cd45afaad5e7a45af3b5bc42d1">RETURN_VALUE_IF_NULL</a>(boolean_vector, <span class="keyword">false</span>);</div>
|
|
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="comment">// Note(user): Using num_entries() or any function that call</span></div>
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|
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="comment">// CheckNoDuplicates() again will cause an infinite loop!</span></div>
|
|
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordflow">if</span> (!may_contain_duplicates_ || num_entries_ <= 1) <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
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|
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  </div>
|
|
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="comment">// Update size if needed.</span></div>
|
|
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> max_index =</div>
|
|
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  *std::max_element(index_, index_ + num_entries_.value());</div>
|
|
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <span class="keywordflow">if</span> (boolean_vector-><a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html#a967a5c081ad4195a30c78dc2c0bcabf5">size</a>() <= max_index) {</div>
|
|
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  boolean_vector-><a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html#a64b6b04f3a519d2c61d49daaa88bf06e">resize</a>(max_index + 1, <span class="keyword">false</span>);</div>
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|
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  }</div>
|
|
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  </div>
|
|
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  may_contain_duplicates_ = <span class="keyword">false</span>;</div>
|
|
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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|
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a> = GetIndex(i);</div>
|
|
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="keywordflow">if</span> ((*boolean_vector)[<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>]) {</div>
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|
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  may_contain_duplicates_ = <span class="keyword">true</span>;</div>
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|
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="keywordflow">break</span>;</div>
|
|
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  }</div>
|
|
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  (*boolean_vector)[<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>] = <span class="keyword">true</span>;</div>
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|
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  }</div>
|
|
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  </div>
|
|
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="comment">// Reset boolean_vector to false.</span></div>
|
|
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
|
|
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  (*boolean_vector)[GetIndex(i)] = <span class="keyword">false</span>;</div>
|
|
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  }</div>
|
|
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keywordflow">return</span> !may_contain_duplicates_;</div>
|
|
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span> }</div>
|
|
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  </div>
|
|
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00669"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f"> 669</a></span> <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">SparseVector<IndexType, IteratorType>::CheckNoDuplicates</a>()<span class="keyword"> const </span>{</div>
|
|
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="comment">// Using num_entries() or any function in that will call CheckNoDuplicates()</span></div>
|
|
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="comment">// again will cause an infinite loop!</span></div>
|
|
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordflow">if</span> (!may_contain_duplicates_ || num_entries_ <= 1) <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
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<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">StrictITIVector<Index, bool></a> boolean_vector;</div>
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<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keywordflow">return</span> CheckNoDuplicates(&boolean_vector);</div>
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<div class="line"><a name="l00675"></a><span class="lineno"> 675</span> }</div>
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<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  </div>
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<div class="line"><a name="l00677"></a><span class="lineno"> 677</span> <span class="comment">// Do not filter out zero values, as a zero value can be added to reset a</span></div>
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<div class="line"><a name="l00678"></a><span class="lineno"> 678</span> <span class="comment">// previous value. Zero values and duplicates will be removed by CleanUp.</span></div>
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<div class="line"><a name="l00679"></a><span class="lineno"> 679</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00680"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aeff6ae7073f423651fc0352d50cadfa6"> 680</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aeff6ae7073f423651fc0352d50cadfa6">SparseVector<IndexType, IteratorType>::SetCoefficient</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>,</div>
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<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>) {</div>
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<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  AddEntry(<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>, <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>);</div>
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<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  may_contain_duplicates_ = <span class="keyword">true</span>;</div>
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<div class="line"><a name="l00684"></a><span class="lineno"> 684</span> }</div>
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<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  </div>
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<div class="line"><a name="l00686"></a><span class="lineno"> 686</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00687"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae97d1a6fec074ce450bed0e5dac4206b"> 687</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae97d1a6fec074ce450bed0e5dac4206b">SparseVector<IndexType, IteratorType>::DeleteEntry</a>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) {</div>
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<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(CheckNoDuplicates());</div>
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<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  EntryIndex i(0);</div>
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<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keyword">const</span> EntryIndex end(<a class="code" href="preprocessor_8cc.html#a2babe18010525bbf13c2fa5a959971e4">num_entries</a>());</div>
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<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keywordflow">while</span> (i < end && GetIndex(i) != <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) {</div>
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|
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  ++i;</div>
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<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  }</div>
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<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="keywordflow">if</span> (i == end) <span class="keywordflow">return</span>;</div>
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|
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> num_moved_entries = (num_entries_ - i).<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>() - 1;</div>
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<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  std::memmove(index_ + i.value(), index_ + i.value() + 1,</div>
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<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keyword">sizeof</span>(<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a>) * num_moved_entries);</div>
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<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  std::memmove(coefficient_ + i.value(), coefficient_ + i.value() + 1,</div>
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<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keyword">sizeof</span>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a>) * num_moved_entries);</div>
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<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  --num_entries_;</div>
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|
<div class="line"><a name="l00701"></a><span class="lineno"> 701</span> }</div>
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|
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  </div>
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|
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00704"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad11cba1c8c81998cfecb25256c6c152f"> 704</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad11cba1c8c81998cfecb25256c6c152f">SparseVector<IndexType, IteratorType>::RemoveNearZeroEntries</a>(</div>
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|
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> threshold) {</div>
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|
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(CheckNoDuplicates());</div>
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|
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  EntryIndex new_index(0);</div>
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|
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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|
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> magnitude = fabs(<a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i));</div>
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|
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="keywordflow">if</span> (magnitude > threshold) {</div>
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|
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  MutableIndex(new_index) = GetIndex(i);</div>
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|
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  MutableCoefficient(new_index) = <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i);</div>
|
|
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  ++new_index;</div>
|
|
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  }</div>
|
|
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  }</div>
|
|
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  ResizeDown(new_index);</div>
|
|
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span> }</div>
|
|
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  </div>
|
|
<div class="line"><a name="l00719"></a><span class="lineno"> 719</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00720"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5b9746c75f781968b2f21e2e5701cd84"> 720</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5b9746c75f781968b2f21e2e5701cd84">SparseVector<IndexType, IteratorType>::RemoveNearZeroEntriesWithWeights</a>(</div>
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|
<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> threshold, <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>& weights) {</div>
|
|
<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(CheckNoDuplicates());</div>
|
|
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  EntryIndex new_index(0);</div>
|
|
<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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|
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="keywordflow">if</span> (fabs(<a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i)) * weights[GetIndex(i)] > threshold) {</div>
|
|
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  MutableIndex(new_index) = GetIndex(i);</div>
|
|
<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  MutableCoefficient(new_index) = <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i);</div>
|
|
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  ++new_index;</div>
|
|
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  }</div>
|
|
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  }</div>
|
|
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  ResizeDown(new_index);</div>
|
|
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span> }</div>
|
|
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  </div>
|
|
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00735"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad7778a6937eded6496aea6620e571540"> 735</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad7778a6937eded6496aea6620e571540">SparseVector<IndexType, IteratorType>::MoveEntryToFirstPosition</a>(</div>
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|
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) {</div>
|
|
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(CheckNoDuplicates());</div>
|
|
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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|
<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="keywordflow">if</span> (GetIndex(i) == <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) {</div>
|
|
<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  std::swap(MutableIndex(EntryIndex(0)), MutableIndex(i));</div>
|
|
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  std::swap(MutableCoefficient(EntryIndex(0)), MutableCoefficient(i));</div>
|
|
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keywordflow">return</span>;</div>
|
|
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  }</div>
|
|
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  }</div>
|
|
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span> }</div>
|
|
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  </div>
|
|
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00748"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae2b7225384bfdf8e58618b2cfc3b96aa"> 748</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae2b7225384bfdf8e58618b2cfc3b96aa">SparseVector<IndexType, IteratorType>::MoveEntryToLastPosition</a>(</div>
|
|
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) {</div>
|
|
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(CheckNoDuplicates());</div>
|
|
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keyword">const</span> EntryIndex last_entry = <a class="code" href="preprocessor_8cc.html#a2babe18010525bbf13c2fa5a959971e4">num_entries</a>() - 1;</div>
|
|
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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|
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keywordflow">if</span> (GetIndex(i) == <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) {</div>
|
|
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  std::swap(MutableIndex(last_entry), MutableIndex(i));</div>
|
|
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  std::swap(MutableCoefficient(last_entry), MutableCoefficient(i));</div>
|
|
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keywordflow">return</span>;</div>
|
|
<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  }</div>
|
|
<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  }</div>
|
|
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span> }</div>
|
|
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  </div>
|
|
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00762"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a997af931ec11394cec3418321c2ecc4b"> 762</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a997af931ec11394cec3418321c2ecc4b">SparseVector<IndexType, IteratorType>::MultiplyByConstant</a>(</div>
|
|
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> factor) {</div>
|
|
<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
|
|
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  MutableCoefficient(i) *= factor;</div>
|
|
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  }</div>
|
|
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span> }</div>
|
|
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  </div>
|
|
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
|
|
<div class="line"><a name="l00770"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a09a2901ab63e665486a0b32347b9fab6"> 770</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a09a2901ab63e665486a0b32347b9fab6">SparseVector<IndexType, IteratorType>::ComponentWiseMultiply</a>(</div>
|
|
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>& factors) {</div>
|
|
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
|
|
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  MutableCoefficient(i) *= factors[GetIndex(i)];</div>
|
|
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  }</div>
|
|
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span> }</div>
|
|
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  </div>
|
|
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00778"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a88cf92566c4a4b0281ea82571f4269ad"> 778</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a88cf92566c4a4b0281ea82571f4269ad">SparseVector<IndexType, IteratorType>::DivideByConstant</a>(</div>
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|
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> factor) {</div>
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<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  MutableCoefficient(i) /= factor;</div>
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<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  }</div>
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<div class="line"><a name="l00783"></a><span class="lineno"> 783</span> }</div>
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<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  </div>
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<div class="line"><a name="l00785"></a><span class="lineno"> 785</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00786"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa914fdd75c35b81e5df7fba7b9d23925"> 786</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa914fdd75c35b81e5df7fba7b9d23925">SparseVector<IndexType, IteratorType>::ComponentWiseDivide</a>(</div>
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<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>& factors) {</div>
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<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  MutableCoefficient(i) /= factors[GetIndex(i)];</div>
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<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  }</div>
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<div class="line"><a name="l00791"></a><span class="lineno"> 791</span> }</div>
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<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  </div>
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<div class="line"><a name="l00793"></a><span class="lineno"> 793</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00794"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a387d5cff55d1368a3a116a9ee4ed1865"> 794</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a387d5cff55d1368a3a116a9ee4ed1865">SparseVector<IndexType, IteratorType>::CopyToDenseVector</a>(</div>
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<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> num_indices, <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>* dense_vector)<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <a class="code" href="return__macros_8h.html#a6009315499028d98072d8f31834cf4f9">RETURN_IF_NULL</a>(dense_vector);</div>
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<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  dense_vector-><a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html#a3de922485ca2c30f3e07d959dd97cdd0">AssignToZero</a>(num_indices);</div>
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<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  (*dense_vector)[GetIndex(i)] = <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i);</div>
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<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  }</div>
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<div class="line"><a name="l00801"></a><span class="lineno"> 801</span> }</div>
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<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  </div>
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<div class="line"><a name="l00803"></a><span class="lineno"> 803</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00804"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a6596af814c971da5d9c7b257ead2c1ea"> 804</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a6596af814c971da5d9c7b257ead2c1ea">SparseVector<IndexType, IteratorType>::PermutedCopyToDenseVector</a>(</div>
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<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">IndexPermutation</a>& index_perm, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> num_indices,</div>
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<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>* dense_vector)<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <a class="code" href="return__macros_8h.html#a6009315499028d98072d8f31834cf4f9">RETURN_IF_NULL</a>(dense_vector);</div>
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<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  dense_vector-><a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html#a3de922485ca2c30f3e07d959dd97cdd0">AssignToZero</a>(num_indices);</div>
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<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  (*dense_vector)[index_perm[GetIndex(i)]] = <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i);</div>
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<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  }</div>
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<div class="line"><a name="l00812"></a><span class="lineno"> 812</span> }</div>
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<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  </div>
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<div class="line"><a name="l00814"></a><span class="lineno"> 814</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00815"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a52c0ccd912e2cd8958d0572d9351e545"> 815</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a52c0ccd912e2cd8958d0572d9351e545">SparseVector<IndexType, IteratorType>::AddMultipleToDenseVector</a>(</div>
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<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> multiplier, <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">DenseVector</a>* dense_vector)<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <a class="code" href="return__macros_8h.html#a6009315499028d98072d8f31834cf4f9">RETURN_IF_NULL</a>(dense_vector);</div>
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<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <span class="keywordflow">if</span> (multiplier == 0.0) <span class="keywordflow">return</span>;</div>
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<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  (*dense_vector)[GetIndex(i)] += multiplier * <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i);</div>
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<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  }</div>
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|
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span> }</div>
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|
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  </div>
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<div class="line"><a name="l00824"></a><span class="lineno"> 824</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00825"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a671198915bf3805882a4d44f6a07e810"> 825</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a671198915bf3805882a4d44f6a07e810">SparseVector<IndexType, IteratorType>::</a></div>
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|
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a671198915bf3805882a4d44f6a07e810"> AddMultipleToSparseVectorAndDeleteCommonIndex</a>(</div>
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|
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> multiplier, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> removed_common_index,</div>
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|
<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> drop_tolerance, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* accumulator_vector)<span class="keyword"> const </span>{</div>
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|
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  AddMultipleToSparseVectorInternal(<span class="keyword">true</span>, multiplier, removed_common_index,</div>
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|
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  drop_tolerance, accumulator_vector);</div>
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|
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span> }</div>
|
|
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  </div>
|
|
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00834"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#acbe5fe3c9ab60ea1e58181a5e09a8582"> 834</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#acbe5fe3c9ab60ea1e58181a5e09a8582">SparseVector<IndexType, IteratorType>::</a></div>
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|
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#acbe5fe3c9ab60ea1e58181a5e09a8582"> AddMultipleToSparseVectorAndIgnoreCommonIndex</a>(</div>
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|
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> multiplier, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> removed_common_index,</div>
|
|
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> drop_tolerance, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* accumulator_vector)<span class="keyword"> const </span>{</div>
|
|
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  AddMultipleToSparseVectorInternal(<span class="keyword">false</span>, multiplier, removed_common_index,</div>
|
|
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  drop_tolerance, accumulator_vector);</div>
|
|
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span> }</div>
|
|
<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  </div>
|
|
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00843"></a><span class="lineno"> 843</span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector<IndexType, IteratorType>::AddMultipleToSparseVectorInternal</a>(</div>
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|
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keywordtype">bool</span> delete_common_index, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> multiplier, <a class="code" href="namespaceoperations__research_1_1glop.html#abec9e934a51aa2ab519684cc0f446a41">Index</a> common_index,</div>
|
|
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> drop_tolerance, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* accumulator_vector)<span class="keyword"> const </span>{</div>
|
|
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="comment">// DCHECK that the input is correct.</span></div>
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|
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(IsCleanedUp());</div>
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|
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(accumulator_vector-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5e016d204d43b2cc4a2773c25462968a">IsCleanedUp</a>());</div>
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<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(CheckNoDuplicates());</div>
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|
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <a class="code" href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a>(accumulator_vector-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">CheckNoDuplicates</a>());</div>
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<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <a class="code" href="base_2logging_8h.html#a46e69120fbd3b36e6960e096d23b66f0">DCHECK_NE</a>(0.0, LookUpCoefficient(common_index));</div>
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|
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <a class="code" href="base_2logging_8h.html#a46e69120fbd3b36e6960e096d23b66f0">DCHECK_NE</a>(0.0, accumulator_vector-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a39a185056b395c7ed7e8d5c41df3bc6b">LookUpCoefficient</a>(common_index));</div>
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|
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  </div>
|
|
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="comment">// Implementation notes: we create a temporary SparseVector "c" to hold the</span></div>
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|
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <span class="comment">// result. We call "a" the first vector (i.e. the current object, which will</span></div>
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|
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <span class="comment">// be multiplied by "multiplier"), and "b" the second vector (which will be</span></div>
|
|
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="comment">// swapped with "c" at the end to hold the result).</span></div>
|
|
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="comment">// We incrementally build c as: a * multiplier + b.</span></div>
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|
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& <a class="code" href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a> = *<span class="keyword">this</span>;</div>
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<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a> = *accumulator_vector;</div>
|
|
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a> c;</div>
|
|
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  EntryIndex ia(0); <span class="comment">// Index in the vector "a"</span></div>
|
|
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  EntryIndex ib(0); <span class="comment">// ... and "b"</span></div>
|
|
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  EntryIndex ic(0); <span class="comment">// ... and "c"</span></div>
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|
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="keyword">const</span> EntryIndex size_a = <a class="code" href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a>.num_entries();</div>
|
|
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keyword">const</span> EntryIndex size_b = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.num_entries();</div>
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<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> size_adjustment = delete_common_index ? -2 : 0;</div>
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|
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="keyword">const</span> EntryIndex new_size_upper_bound = size_a + size_b + size_adjustment;</div>
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|
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae90055942b6d795d495d370afed742a9">Reserve</a>(new_size_upper_bound);</div>
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|
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">num_entries_</a> = new_size_upper_bound;</div>
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|
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <span class="keywordflow">while</span> ((ia < size_a) && (ib < size_b)) {</div>
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|
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#abec9e934a51aa2ab519684cc0f446a41">Index</a> index_a = <a class="code" href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a>.GetIndex(ia);</div>
|
|
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#abec9e934a51aa2ab519684cc0f446a41">Index</a> index_b = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.GetIndex(ib);</div>
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<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <span class="comment">// Benchmarks done by fdid@ in 2012 showed that it was faster to put the</span></div>
|
|
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="comment">// "if" clauses in that specific order.</span></div>
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|
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="keywordflow">if</span> (index_a == index_b) {</div>
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|
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keywordflow">if</span> (index_a != common_index) {</div>
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|
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> a_coeff_mul = multiplier * <a class="code" href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a>.GetCoefficient(ia);</div>
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<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> b_coeff = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.GetCoefficient(ib);</div>
|
|
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> sum = a_coeff_mul + b_coeff;</div>
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|
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  </div>
|
|
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="comment">// We do not want to leave near-zero entries.</span></div>
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|
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="comment">// TODO(user): expose the tolerance used here.</span></div>
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|
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keywordflow">if</span> (std::abs(sum) > drop_tolerance) {</div>
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<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">MutableIndex</a>(ic) = index_a;</div>
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|
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">MutableCoefficient</a>(ic) = sum;</div>
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|
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  ++ic;</div>
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<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  }</div>
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<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (!delete_common_index) {</div>
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<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">MutableIndex</a>(ic) = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.GetIndex(ib);</div>
|
|
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">MutableCoefficient</a>(ic) = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.GetCoefficient(ib);</div>
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|
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  ++ic;</div>
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|
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  }</div>
|
|
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  ++ia;</div>
|
|
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  ++ib;</div>
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|
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (index_a < index_b) {</div>
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|
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">MutableIndex</a>(ic) = index_a;</div>
|
|
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">MutableCoefficient</a>(ic) = multiplier * <a class="code" href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a>.GetCoefficient(ia);</div>
|
|
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  ++ia;</div>
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|
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  ++ic;</div>
|
|
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  } <span class="keywordflow">else</span> { <span class="comment">// index_b < index_a</span></div>
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|
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">MutableIndex</a>(ic) = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.GetIndex(ib);</div>
|
|
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">MutableCoefficient</a>(ic) = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.GetCoefficient(ib);</div>
|
|
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  ++ib;</div>
|
|
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  ++ic;</div>
|
|
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  }</div>
|
|
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  }</div>
|
|
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keywordflow">while</span> (ia < size_a) {</div>
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|
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">MutableIndex</a>(ic) = <a class="code" href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a>.GetIndex(ia);</div>
|
|
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">MutableCoefficient</a>(ic) = multiplier * <a class="code" href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a>.GetCoefficient(ia);</div>
|
|
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  ++ia;</div>
|
|
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  ++ic;</div>
|
|
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  }</div>
|
|
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <span class="keywordflow">while</span> (ib < size_b) {</div>
|
|
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">MutableIndex</a>(ic) = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.GetIndex(ib);</div>
|
|
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">MutableCoefficient</a>(ic) = <a class="code" href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a>.GetCoefficient(ib);</div>
|
|
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  ++ib;</div>
|
|
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  ++ic;</div>
|
|
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  }</div>
|
|
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a543db852628b18af95e0c23bbb47cf9d">ResizeDown</a>(ic);</div>
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|
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a73b710196d5dda7d839551159f54c5c9">may_contain_duplicates_</a> = <span class="keyword">false</span>;</div>
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|
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  c.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a22626b1f1e195d8940de17a320debca0">Swap</a>(accumulator_vector);</div>
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|
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span> }</div>
|
|
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  </div>
|
|
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00926"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a26c6671e6e61e499345478296662f877"> 926</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a26c6671e6e61e499345478296662f877">SparseVector<IndexType, IteratorType>::ApplyIndexPermutation</a>(</div>
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|
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">IndexPermutation</a>& index_perm) {</div>
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|
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
|
|
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  MutableIndex(i) = index_perm[GetIndex(i)];</div>
|
|
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  }</div>
|
|
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span> }</div>
|
|
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  </div>
|
|
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00934"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab8dd8d63ac93466fd078c53589bb3222"> 934</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab8dd8d63ac93466fd078c53589bb3222">SparseVector<IndexType, IteratorType>::ApplyPartialIndexPermutation</a>(</div>
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|
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">IndexPermutation</a>& index_perm) {</div>
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|
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  EntryIndex new_index(0);</div>
|
|
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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|
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a> = GetIndex(i);</div>
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|
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keywordflow">if</span> (index_perm[<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>] >= 0) {</div>
|
|
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  MutableIndex(new_index) = index_perm[<a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>];</div>
|
|
<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  MutableCoefficient(new_index) = <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i);</div>
|
|
<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  ++new_index;</div>
|
|
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  }</div>
|
|
<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  }</div>
|
|
<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  ResizeDown(new_index);</div>
|
|
<div class="line"><a name="l00946"></a><span class="lineno"> 946</span> }</div>
|
|
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  </div>
|
|
<div class="line"><a name="l00948"></a><span class="lineno"> 948</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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|
<div class="line"><a name="l00949"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a21b9c78ccfbd2179209b0e5835bde125"> 949</a></span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a21b9c78ccfbd2179209b0e5835bde125">SparseVector<IndexType, IteratorType>::MoveTaggedEntriesTo</a>(</div>
|
|
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_permutation.html">IndexPermutation</a>& index_perm, <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>* output) {</div>
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|
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <span class="comment">// Note that this function is called many times, so performance does matter</span></div>
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|
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="comment">// and it is why we optimized the "nothing to do" case.</span></div>
|
|
<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  <span class="keyword">const</span> EntryIndex end(num_entries_);</div>
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|
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  EntryIndex i(0);</div>
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|
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  <span class="keywordflow">while</span> (<span class="keyword">true</span>) {</div>
|
|
<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <span class="keywordflow">if</span> (i >= end) <span class="keywordflow">return</span>; <span class="comment">// "nothing to do" case.</span></div>
|
|
<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  <span class="keywordflow">if</span> (index_perm[GetIndex(i)] >= 0) <span class="keywordflow">break</span>;</div>
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|
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  ++i;</div>
|
|
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  }</div>
|
|
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  output-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae447e64b3613f1479a87f4b5fe01b90e">AddEntry</a>(GetIndex(i), <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i));</div>
|
|
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <span class="keywordflow">for</span> (EntryIndex j(i + 1); j < end; ++j) {</div>
|
|
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="keywordflow">if</span> (index_perm[GetIndex(j)] < 0) {</div>
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|
<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  MutableIndex(i) = GetIndex(j);</div>
|
|
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  MutableCoefficient(i) = <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(j);</div>
|
|
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  ++i;</div>
|
|
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  } <span class="keywordflow">else</span> {</div>
|
|
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  output-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae447e64b3613f1479a87f4b5fe01b90e">AddEntry</a>(GetIndex(j), <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(j));</div>
|
|
<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  }</div>
|
|
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  }</div>
|
|
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  ResizeDown(i);</div>
|
|
<div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  </div>
|
|
<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="comment">// TODO(user): In the way we use this function, we know that will not</span></div>
|
|
<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="comment">// happen, but it is better to be careful so we can check that properly in</span></div>
|
|
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  <span class="comment">// debug mode.</span></div>
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|
<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  output-><a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a73b710196d5dda7d839551159f54c5c9">may_contain_duplicates_</a> = <span class="keyword">true</span>;</div>
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|
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span> }</div>
|
|
<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  </div>
|
|
<div class="line"><a name="l00978"></a><span class="lineno"> 978</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
|
|
<div class="line"><a name="l00979"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a39a185056b395c7ed7e8d5c41df3bc6b"> 979</a></span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a39a185056b395c7ed7e8d5c41df3bc6b">SparseVector<IndexType, IteratorType>::LookUpCoefficient</a>(</div>
|
|
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">Index</a> <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>)<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>(0.0);</div>
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<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="keywordflow">if</span> (GetIndex(i) == <a class="code" href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a>) {</div>
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<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <span class="comment">// Keep in mind the vector may contains several entries with the same</span></div>
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<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="comment">// index. In such a case the last one is returned.</span></div>
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<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="comment">// TODO(user): investigate whether an optimized version of</span></div>
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<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="comment">// LookUpCoefficient for "clean" columns yields speed-ups.</span></div>
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<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> = <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i);</div>
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<div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  }</div>
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<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  }</div>
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<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="keywordflow">return</span> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>;</div>
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<div class="line"><a name="l00992"></a><span class="lineno"> 992</span> }</div>
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<div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  </div>
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<div class="line"><a name="l00994"></a><span class="lineno"> 994</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l00995"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae79a5d315b1482f609e3e367e58e2f59"> 995</a></span> <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae79a5d315b1482f609e3e367e58e2f59">SparseVector<IndexType, IteratorType>::IsEqualTo</a>(</div>
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<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html">SparseVector</a>& other)<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  <span class="comment">// We do not take into account the mutable value may_contain_duplicates_.</span></div>
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<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <span class="keywordflow">if</span> (<a class="code" href="preprocessor_8cc.html#a2babe18010525bbf13c2fa5a959971e4">num_entries</a>() != other.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#af69d9b7065a8f31604a8134be4307749">num_entries</a>()) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
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<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <span class="keywordflow">if</span> (GetIndex(i) != other.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2a98cf268b78708b773df1b95dcba545">GetIndex</a>(i)) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
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<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i) != other.<a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#aee58c48c57d6575064f1dd9a66077fad">GetCoefficient</a>(i)) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
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<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  }</div>
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<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
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<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span> }</div>
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<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  </div>
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<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IndexType, <span class="keyword">typename</span> IteratorType></div>
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<div class="line"><a name="l01007"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a764be64f3029f8b8e23511061d8de355"> 1007</a></span> std::string <a class="code" href="classoperations__research_1_1glop_1_1_sparse_vector.html#a764be64f3029f8b8e23511061d8de355">SparseVector<IndexType, IteratorType>::DebugString</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  std::string s;</div>
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<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> EntryIndex i : AllEntryIndices()) {</div>
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<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="keywordflow">if</span> (i != 0) s += <span class="stringliteral">", "</span>;</div>
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<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  absl::StrAppendFormat(&s, <span class="stringliteral">"[%d]=%g"</span>, GetIndex(i).<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>(),</div>
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<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <a class="code" href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">GetCoefficient</a>(i));</div>
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<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  }</div>
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<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keywordflow">return</span> s;</div>
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<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span> }</div>
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<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  </div>
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<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span> } <span class="comment">// namespace glop</span></div>
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<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> } <span class="comment">// namespace operations_research</span></div>
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<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  </div>
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<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span> <span class="preprocessor">#endif // OR_TOOLS_LP_DATA_SPARSE_VECTOR_H_</span></div>
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</div><!-- fragment --></div><!-- contents -->
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</div><!-- doc-content -->
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<div class="ttc" id="aclassutil_1_1_integer_range_html"><div class="ttname"><a href="classutil_1_1_integer_range.html">util::IntegerRange</a></div><div class="ttdef"><b>Definition:</b> <a href="iterators_8h_source.html#l00146">iterators.h:146</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_strict_i_t_i_vector_html_a64b6b04f3a519d2c61d49daaa88bf06e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html#a64b6b04f3a519d2c61d49daaa88bf06e">operations_research::glop::StrictITIVector::resize</a></div><div class="ttdeci">void resize(IntType size)</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00269">lp_types.h:269</a></div></div>
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<div class="ttc" id="aintegral__types_8h_html"><div class="ttname"><a href="integral__types_8h.html">integral_types.h</a></div></div>
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<div class="ttc" id="abase_2logging_8h_html_ab62f5ed8f2d48e29802be0cbbcd1359a"><div class="ttname"><a href="base_2logging_8h.html#ab62f5ed8f2d48e29802be0cbbcd1359a">DCHECK_LT</a></div><div class="ttdeci">#define DCHECK_LT(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00888">base/logging.h:888</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_aa71d36872f416feaa853788a7a7a7ef8"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa71d36872f416feaa853788a7a7a7ef8">operations_research::glop::SparseVector::Clear</a></div><div class="ttdeci">void Clear()</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00479">sparse_vector.h:479</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a21b9c78ccfbd2179209b0e5835bde125"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a21b9c78ccfbd2179209b0e5835bde125">operations_research::glop::SparseVector::MoveTaggedEntriesTo</a></div><div class="ttdeci">void MoveTaggedEntriesTo(const IndexPermutation &index_perm, SparseVector *output)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00949">sparse_vector.h:949</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a09a2901ab63e665486a0b32347b9fab6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a09a2901ab63e665486a0b32347b9fab6">operations_research::glop::SparseVector::ComponentWiseMultiply</a></div><div class="ttdeci">void ComponentWiseMultiply(const DenseVector &factors)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00770">sparse_vector.h:770</a></div></div>
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<div class="ttc" id="asat_2lp__utils_8cc_html_ab1734711414da2e668957d24a41b1ddf"><div class="ttname"><a href="sat_2lp__utils_8cc.html#ab1734711414da2e668957d24a41b1ddf">coefficients</a></div><div class="ttdeci">std::vector< double > coefficients</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00496">sat/lp_utils.cc:496</a></div></div>
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<div class="ttc" id="apreprocessor_8cc_html_a2babe18010525bbf13c2fa5a959971e4"><div class="ttname"><a href="preprocessor_8cc.html#a2babe18010525bbf13c2fa5a959971e4">num_entries</a></div><div class="ttdeci">EntryIndex num_entries</div><div class="ttdef"><b>Definition:</b> <a href="preprocessor_8cc_source.html#l01312">preprocessor.cc:1312</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_acbe5fe3c9ab60ea1e58181a5e09a8582"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#acbe5fe3c9ab60ea1e58181a5e09a8582">operations_research::glop::SparseVector::AddMultipleToSparseVectorAndIgnoreCommonIndex</a></div><div class="ttdeci">void AddMultipleToSparseVectorAndIgnoreCommonIndex(Fractional multiplier, Index removed_common_index, Fractional drop_tolerance, SparseVector *accumulator_vector) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00834">sparse_vector.h:835</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a764be64f3029f8b8e23511061d8de355"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a764be64f3029f8b8e23511061d8de355">operations_research::glop::SparseVector::DebugString</a></div><div class="ttdeci">std::string DebugString() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l01007">sparse_vector.h:1007</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ad11cba1c8c81998cfecb25256c6c152f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad11cba1c8c81998cfecb25256c6c152f">operations_research::glop::SparseVector::RemoveNearZeroEntries</a></div><div class="ttdeci">void RemoveNearZeroEntries(Fractional threshold)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00704">sparse_vector.h:704</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a88cf92566c4a4b0281ea82571f4269ad"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a88cf92566c4a4b0281ea82571f4269ad">operations_research::glop::SparseVector::DivideByConstant</a></div><div class="ttdeci">void DivideByConstant(Fractional factor)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00778">sparse_vector.h:778</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ae5c3c9c4d7a89a612cdb2ca5a50291d7"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae5c3c9c4d7a89a612cdb2ca5a50291d7">operations_research::glop::SparseVector::GetLastCoefficient</a></div><div class="ttdeci">Fractional GetLastCoefficient() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00293">sparse_vector.h:293</a></div></div>
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<div class="ttc" id="abase_2logging_8h_html"><div class="ttname"><a href="base_2logging_8h.html">logging.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ae2b7225384bfdf8e58618b2cfc3b96aa"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae2b7225384bfdf8e58618b2cfc3b96aa">operations_research::glop::SparseVector::MoveEntryToLastPosition</a></div><div class="ttdeci">void MoveEntryToLastPosition(Index index)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00748">sparse_vector.h:748</a></div></div>
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<div class="ttc" id="ademon__profiler_8cc_html_a21edc7ca4cc5802c8779d68556bc09cf"><div class="ttname"><a href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a></div><div class="ttdeci">int64 value</div><div class="ttdef"><b>Definition:</b> <a href="demon__profiler_8cc_source.html#l00043">demon_profiler.cc:43</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a57ee554e62a0feea0562e77e3513570a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a57ee554e62a0feea0562e77e3513570a">operations_research::glop::SparseVector::index_</a></div><div class="ttdeci">Index * index_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00384">sparse_vector.h:384</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a6596af814c971da5d9c7b257ead2c1ea"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a6596af814c971da5d9c7b257ead2c1ea">operations_research::glop::SparseVector::PermutedCopyToDenseVector</a></div><div class="ttdeci">void PermutedCopyToDenseVector(const IndexPermutation &index_perm, Index num_indices, DenseVector *dense_vector) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00804">sparse_vector.h:804</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ae00a75dd2e8b41c5dd3f7948f4e7d576"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae00a75dd2e8b41c5dd3f7948f4e7d576">operations_research::glop::SparseVector::end</a></div><div class="ttdeci">Iterator end() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00451">sparse_vector.h:451</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a8fb138af3a08b1c6a806ea4c094f8fa6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a8fb138af3a08b1c6a806ea4c094f8fa6">operations_research::glop::SparseVector::GetFirstIndex</a></div><div class="ttdeci">Index GetFirstIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00279">sparse_vector.h:279</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a2e5611d47d02e1029b98a8e9bee3469f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2e5611d47d02e1029b98a8e9bee3469f">operations_research::glop::SparseVector::CheckNoDuplicates</a></div><div class="ttdeci">bool CheckNoDuplicates() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00669">sparse_vector.h:669</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_strict_i_t_i_vector_html_a967a5c081ad4195a30c78dc2c0bcabf5"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html#a967a5c081ad4195a30c78dc2c0bcabf5">operations_research::glop::StrictITIVector::size</a></div><div class="ttdeci">IntType size() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00276">lp_types.h:276</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_html"><div class="ttname"><a href="namespaceoperations__research.html">operations_research</a></div><div class="ttdoc">The vehicle routing library lets one model and solve generic vehicle routing problems ranging from th...</div><div class="ttdef"><b>Definition:</b> <a href="dense__doubly__linked__list_8h_source.html#l00021">dense_doubly_linked_list.h:21</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a1a7c11397f187a19ab109ba8056dcd5d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a1a7c11397f187a19ab109ba8056dcd5d">operations_research::glop::SparseVector::MutableCoefficient</a></div><div class="ttdeci">Fractional & MutableCoefficient(EntryIndex i)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00362">sparse_vector.h:362</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ae90055942b6d795d495d370afed742a9"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae90055942b6d795d495d370afed742a9">operations_research::glop::SparseVector::Reserve</a></div><div class="ttdeci">void Reserve(EntryIndex new_capacity)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00495">sparse_vector.h:495</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a47806c3f6a82db40b122b757211a98c0"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a47806c3f6a82db40b122b757211a98c0">operations_research::glop::SparseVector::Index</a></div><div class="ttdeci">IndexType Index</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00085">sparse_vector.h:85</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_entry_html_aa5073f3fbade604ea7ce5b99612b2778"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#aa5073f3fbade604ea7ce5b99612b2778">operations_research::glop::SparseVectorEntry::coefficient_</a></div><div class="ttdeci">const Fractional * coefficient_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00442">sparse_vector.h:442</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a5e016d204d43b2cc4a2773c25462968a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5e016d204d43b2cc4a2773c25462968a">operations_research::glop::SparseVector::IsCleanedUp</a></div><div class="ttdeci">bool IsCleanedUp() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00580">sparse_vector.h:580</a></div></div>
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<div class="ttc" id="areturn__macros_8h_html_a6009315499028d98072d8f31834cf4f9"><div class="ttname"><a href="return__macros_8h.html#a6009315499028d98072d8f31834cf4f9">RETURN_IF_NULL</a></div><div class="ttdeci">#define RETURN_IF_NULL(x)</div><div class="ttdef"><b>Definition:</b> <a href="return__macros_8h_source.html#l00020">return_macros.h:20</a></div></div>
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<div class="ttc" id="apack_8cc_html_a750b5d744c39a06bfb13e6eb010e35d0"><div class="ttname"><a href="pack_8cc.html#a750b5d744c39a06bfb13e6eb010e35d0">index</a></div><div class="ttdeci">int index</div><div class="ttdef"><b>Definition:</b> <a href="pack_8cc_source.html#l00508">pack.cc:508</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a26c6671e6e61e499345478296662f877"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a26c6671e6e61e499345478296662f877">operations_research::glop::SparseVector::ApplyIndexPermutation</a></div><div class="ttdeci">void ApplyIndexPermutation(const IndexPermutation &index_perm)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00926">sparse_vector.h:926</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a543db852628b18af95e0c23bbb47cf9d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a543db852628b18af95e0c23bbb47cf9d">operations_research::glop::SparseVector::ResizeDown</a></div><div class="ttdeci">void ResizeDown(EntryIndex new_size)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00336">sparse_vector.h:336</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1glop_html_a733947145e3e1631165b618b05c9ccb7"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">operations_research::glop::Fractional</a></div><div class="ttdeci">double Fractional</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00077">lp_types.h:77</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1sat_html_a8b7508824efeabdd4dfd00ab39bfb969"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a8b7508824efeabdd4dfd00ab39bfb969">operations_research::sat::GetCoefficient</a></div><div class="ttdeci">IntegerValue GetCoefficient(const IntegerVariable var, const LinearExpression &expr)</div><div class="ttdef"><b>Definition:</b> <a href="linear__constraint_8cc_source.html#l00336">linear_constraint.cc:336</a></div></div>
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<div class="ttc" id="abase_2logging_8h_html_a46e69120fbd3b36e6960e096d23b66f0"><div class="ttname"><a href="base_2logging_8h.html#a46e69120fbd3b36e6960e096d23b66f0">DCHECK_NE</a></div><div class="ttdeci">#define DCHECK_NE(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00886">base/logging.h:886</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a73b710196d5dda7d839551159f54c5c9"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a73b710196d5dda7d839551159f54c5c9">operations_research::glop::SparseVector::may_contain_duplicates_</a></div><div class="ttdeci">bool may_contain_duplicates_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00389">sparse_vector.h:389</a></div></div>
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<div class="ttc" id="aconstraint__solver_2table_8cc_html_af730895c6c6ef6e03caaf6251192dfd2"><div class="ttname"><a href="constraint__solver_2table_8cc.html#af730895c6c6ef6e03caaf6251192dfd2">a</a></div><div class="ttdeci">int64 a</div><div class="ttdef"><b>Definition:</b> <a href="constraint__solver_2table_8cc_source.html#l00042">constraint_solver/table.cc:42</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a97eb8459176ae316233a7cde7ae5a68e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a97eb8459176ae316233a7cde7ae5a68e">operations_research::glop::SparseVector::capacity_</a></div><div class="ttdeci">EntryIndex capacity_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00381">sparse_vector.h:381</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ad7778a6937eded6496aea6620e571540"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad7778a6937eded6496aea6620e571540">operations_research::glop::SparseVector::MoveEntryToFirstPosition</a></div><div class="ttdeci">void MoveEntryToFirstPosition(Index index)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00735">sparse_vector.h:735</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a39a185056b395c7ed7e8d5c41df3bc6b"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a39a185056b395c7ed7e8d5c41df3bc6b">operations_research::glop::SparseVector::LookUpCoefficient</a></div><div class="ttdeci">Fractional LookUpCoefficient(Index index) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00979">sparse_vector.h:979</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_entry_html_ae74ae5d3002e12ecb0b066dc3be58f52"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#ae74ae5d3002e12ecb0b066dc3be58f52">operations_research::glop::SparseVectorEntry::SparseVectorEntry</a></div><div class="ttdeci">SparseVectorEntry(const Index *indices, const Fractional *coefficients, EntryIndex i)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00427">sparse_vector.h:427</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_af3346e19f245a59be830e9558002d2d4"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#af3346e19f245a59be830e9558002d2d4">operations_research::glop::SparseVector::PopulateFromSparseVector</a></div><div class="ttdeci">void PopulateFromSparseVector(const SparseVector &sparse_vector)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00592">sparse_vector.h:592</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_aec386501911cb060f4efe96a96d43b1e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#aec386501911cb060f4efe96a96d43b1e">operations_research::glop::SparseVector::AppendEntriesWithOffset</a></div><div class="ttdeci">void AppendEntriesWithOffset(const SparseVector &sparse_vector, Index offset)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00626">sparse_vector.h:626</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_vector_iterator_html_aa0dd10cc53d4fb9a1f3d7b54fe625acf"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_vector_iterator.html#aa0dd10cc53d4fb9a1f3d7b54fe625acf">operations_research::glop::VectorIterator::Entry</a></div><div class="ttdeci">EntryType Entry</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00359">lp_types.h:359</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ac5f9e9c433389184262f9c1bc65b1b4d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ac5f9e9c433389184262f9c1bc65b1b4d">operations_research::glop::SparseVector::IndexPermutation</a></div><div class="ttdeci">Permutation< Index > IndexPermutation</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00088">sparse_vector.h:88</a></div></div>
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<div class="ttc" id="areturn__macros_8h_html_af7e921cd45afaad5e7a45af3b5bc42d1"><div class="ttname"><a href="return__macros_8h.html#af7e921cd45afaad5e7a45af3b5bc42d1">RETURN_VALUE_IF_NULL</a></div><div class="ttdeci">#define RETURN_VALUE_IF_NULL(x, v)</div><div class="ttdef"><b>Definition:</b> <a href="return__macros_8h_source.html#l00026">return_macros.h:26</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a75a3a51c4c4a0561602701caa96d17a6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a75a3a51c4c4a0561602701caa96d17a6">operations_research::glop::SparseVector::coefficient_</a></div><div class="ttdeci">Fractional * coefficient_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00385">sparse_vector.h:385</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html">operations_research::glop::SparseVector</a></div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00083">sparse_vector.h:83</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a0dc13527444f4ff471194a69da9e0851"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0dc13527444f4ff471194a69da9e0851">operations_research::glop::SparseVector::PopulateFromDenseVector</a></div><div class="ttdeci">void PopulateFromDenseVector(const DenseVector &dense_vector)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00613">sparse_vector.h:613</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_abfde1b17d511614ad9217bd3cfa48c69"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#abfde1b17d511614ad9217bd3cfa48c69">operations_research::glop::SparseVector::operator=</a></div><div class="ttdeci">SparseVector & operator=(SparseVector &&other)=default</div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ae97d1a6fec074ce450bed0e5dac4206b"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae97d1a6fec074ce450bed0e5dac4206b">operations_research::glop::SparseVector::DeleteEntry</a></div><div class="ttdeci">void DeleteEntry(Index index)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00687">sparse_vector.h:687</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_strict_i_t_i_vector_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">operations_research::glop::StrictITIVector< Index, Fractional ></a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_entry_html_a70df641c5212f2d7cd26b31595daa5b2"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a70df641c5212f2d7cd26b31595daa5b2">operations_research::glop::SparseVectorEntry::index</a></div><div class="ttdeci">Index index() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00415">sparse_vector.h:415</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a449a2e1e630b1e2443bec9987f40370c"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a449a2e1e630b1e2443bec9987f40370c">operations_research::glop::SparseVector::operator=</a></div><div class="ttdeci">SparseVector & operator=(const SparseVector &other)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00473">sparse_vector.h:473</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_entry_html_a7147061a6e31f8592bee1a6f845df195"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a7147061a6e31f8592bee1a6f845df195">operations_research::glop::SparseVectorEntry< RowIndex >::Index</a></div><div class="ttdeci">RowIndex Index</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00413">sparse_vector.h:413</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_strict_i_t_i_vector_html_a3de922485ca2c30f3e07d959dd97cdd0"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html#a3de922485ca2c30f3e07d959dd97cdd0">operations_research::glop::StrictITIVector::AssignToZero</a></div><div class="ttdeci">void AssignToZero(IntType size)</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00290">lp_types.h:290</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ad2549de12e3ef2a9a92b6e24ba1416d5"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ad2549de12e3ef2a9a92b6e24ba1416d5">operations_research::glop::SparseVector::Iterator</a></div><div class="ttdeci">IteratorType Iterator</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00090">sparse_vector.h:90</a></div></div>
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<div class="ttc" id="abase_2logging_8h_html_ae17f8119c108cf3070bad3449c7e0006"><div class="ttname"><a href="base_2logging_8h.html#ae17f8119c108cf3070bad3449c7e0006">DCHECK</a></div><div class="ttdeci">#define DCHECK(condition)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00884">base/logging.h:884</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a2a98cf268b78708b773df1b95dcba545"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a2a98cf268b78708b773df1b95dcba545">operations_research::glop::SparseVector::GetIndex</a></div><div class="ttdeci">Index GetIndex(EntryIndex i) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00344">sparse_vector.h:344</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_aeff6ae7073f423651fc0352d50cadfa6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#aeff6ae7073f423651fc0352d50cadfa6">operations_research::glop::SparseVector::SetCoefficient</a></div><div class="ttdeci">void SetCoefficient(Index index, Fractional value)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00680">sparse_vector.h:680</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a22626b1f1e195d8940de17a320debca0"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a22626b1f1e195d8940de17a320debca0">operations_research::glop::SparseVector::Swap</a></div><div class="ttdeci">void Swap(SparseVector *other)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00534">sparse_vector.h:534</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ae447e64b3613f1479a87f4b5fe01b90e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae447e64b3613f1479a87f4b5fe01b90e">operations_research::glop::SparseVector::AddEntry</a></div><div class="ttdeci">void AddEntry(Index index, Fractional value)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00317">sparse_vector.h:317</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a0c937ffd2b3552195e34010bb48895f0"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0c937ffd2b3552195e34010bb48895f0">operations_research::glop::SparseVector::buffer_</a></div><div class="ttdeci">std::unique_ptr< char[]> buffer_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00379">sparse_vector.h:379</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a0b0c31ccfdd27c59cc9b6f270aaa14c4"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a0b0c31ccfdd27c59cc9b6f270aaa14c4">operations_research::glop::SparseVector::ClearAndRelease</a></div><div class="ttdeci">void ClearAndRelease()</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00485">sparse_vector.h:485</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_permutation_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_permutation.html">operations_research::glop::Permutation</a></div><div class="ttdef"><b>Definition:</b> <a href="lp__data_2permutation_8h_source.html#l00044">lp_data/permutation.h:44</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_af52377dfe1d0e31194f6cc97c4ef563a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#af52377dfe1d0e31194f6cc97c4ef563a">operations_research::glop::SparseVector::SparseVector</a></div><div class="ttdeci">SparseVector(const SparseVector &other)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00467">sparse_vector.h:467</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ab38326ea6cb6187267665dd8b2748f3d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab38326ea6cb6187267665dd8b2748f3d">operations_research::glop::SparseVector< ColIndex, SparseRowIterator >::Entry</a></div><div class="ttdeci">typename Iterator::Entry Entry</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00091">sparse_vector.h:91</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_entry_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html">operations_research::glop::SparseVectorEntry</a></div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00411">sparse_vector.h:411</a></div></div>
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<div class="ttc" id="abase_2logging_8h_html_aae2dc65d9ea248d54bf39daa986dd295"><div class="ttname"><a href="base_2logging_8h.html#aae2dc65d9ea248d54bf39daa986dd295">DCHECK_GE</a></div><div class="ttdeci">#define DCHECK_GE(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00889">base/logging.h:889</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_vector_iterator_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_vector_iterator.html">operations_research::glop::VectorIterator</a></div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00356">lp_types.h:356</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ab9fe74104b5b0eb1962760535de00d65"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab9fe74104b5b0eb1962760535de00d65">operations_research::glop::SparseVector::num_entries_</a></div><div class="ttdeci">EntryIndex num_entries_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00380">sparse_vector.h:380</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_entry_html_af07d83f6746e367a50ed1d3d182015a1"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#af07d83f6746e367a50ed1d3d182015a1">operations_research::glop::SparseVectorEntry::index_</a></div><div class="ttdeci">const Index * index_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00441">sparse_vector.h:441</a></div></div>
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<div class="ttc" id="areturn__macros_8h_html"><div class="ttname"><a href="return__macros_8h.html">return_macros.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ae7c152aafe19515204c65dadcdc876d6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae7c152aafe19515204c65dadcdc876d6">operations_research::glop::SparseVector::GetFirstCoefficient</a></div><div class="ttdeci">Fractional GetFirstCoefficient() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00283">sparse_vector.h:283</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_af3b6ca0629ded3da01fac04c5c4314c4"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#af3b6ca0629ded3da01fac04c5c4314c4">operations_research::glop::SparseVector::DenseVector</a></div><div class="ttdeci">StrictITIVector< Index, Fractional > DenseVector</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00087">sparse_vector.h:87</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_adfbfc262311c67917a9a512479f57cee"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#adfbfc262311c67917a9a512479f57cee">operations_research::glop::SparseVector::CheckNoDuplicates</a></div><div class="ttdeci">bool CheckNoDuplicates(StrictITIVector< Index, bool > *boolean_vector) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00637">sparse_vector.h:637</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a8e12342fc420701fbffd97025421575a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a8e12342fc420701fbffd97025421575a">operations_research::glop::SparseVector::IsEmpty</a></div><div class="ttdeci">bool IsEmpty() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00529">sparse_vector.h:529</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_af69d9b7065a8f31604a8134be4307749"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#af69d9b7065a8f31604a8134be4307749">operations_research::glop::SparseVector::num_entries</a></div><div class="ttdeci">EntryIndex num_entries() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00270">sparse_vector.h:270</a></div></div>
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<div class="ttc" id="aiterators_8h_html"><div class="ttname"><a href="iterators_8h.html">iterators.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a88e72aace64cc885956a2a9784768ebb"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a88e72aace64cc885956a2a9784768ebb">operations_research::glop::SparseVector::GetLastIndex</a></div><div class="ttdeci">Index GetLastIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00289">sparse_vector.h:289</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a387d5cff55d1368a3a116a9ee4ed1865"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a387d5cff55d1368a3a116a9ee4ed1865">operations_research::glop::SparseVector::CopyToDenseVector</a></div><div class="ttdeci">void CopyToDenseVector(Index num_indices, DenseVector *dense_vector) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00794">sparse_vector.h:794</a></div></div>
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<div class="ttc" id="aconstraint__solver_2table_8cc_html_a344010e26426d6a13411648d988bc9b6"><div class="ttname"><a href="constraint__solver_2table_8cc.html#a344010e26426d6a13411648d988bc9b6">b</a></div><div class="ttdeci">int64 b</div><div class="ttdef"><b>Definition:</b> <a href="constraint__solver_2table_8cc_source.html#l00043">constraint_solver/table.cc:43</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a671198915bf3805882a4d44f6a07e810"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a671198915bf3805882a4d44f6a07e810">operations_research::glop::SparseVector::AddMultipleToSparseVectorAndDeleteCommonIndex</a></div><div class="ttdeci">void AddMultipleToSparseVectorAndDeleteCommonIndex(Fractional multiplier, Index removed_common_index, Fractional drop_tolerance, SparseVector *accumulator_vector) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00825">sparse_vector.h:826</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_entry_html_a551138be96f32581e2236d2468384adf"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a551138be96f32581e2236d2468384adf">operations_research::glop::SparseVectorEntry::i_</a></div><div class="ttdeci">EntryIndex i_</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00432">sparse_vector.h:432</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_aee58c48c57d6575064f1dd9a66077fad"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#aee58c48c57d6575064f1dd9a66077fad">operations_research::glop::SparseVector::GetCoefficient</a></div><div class="ttdeci">Fractional GetCoefficient(EntryIndex i) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00349">sparse_vector.h:349</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_entry_html_a8d1325f6bfc62504f70bb527af18bbd8"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector_entry.html#a8d1325f6bfc62504f70bb527af18bbd8">operations_research::glop::SparseVectorEntry::coefficient</a></div><div class="ttdeci">Fractional coefficient() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00416">sparse_vector.h:416</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_aa914fdd75c35b81e5df7fba7b9d23925"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#aa914fdd75c35b81e5df7fba7b9d23925">operations_research::glop::SparseVector::ComponentWiseDivide</a></div><div class="ttdeci">void ComponentWiseDivide(const DenseVector &factors)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00786">sparse_vector.h:786</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a476c8137345706731f84160f23bbf90b"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a476c8137345706731f84160f23bbf90b">operations_research::glop::SparseVector::AllEntryIndices</a></div><div class="ttdeci">::util::IntegerRange< EntryIndex > AllEntryIndices() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00302">sparse_vector.h:302</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1glop_html_abec9e934a51aa2ab519684cc0f446a41"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#abec9e934a51aa2ab519684cc0f446a41">operations_research::glop::Index</a></div><div class="ttdeci">int32 Index</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00037">lp_types.h:37</a></div></div>
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<div class="ttc" id="alp__data_2permutation_8h_html"><div class="ttname"><a href="lp__data_2permutation_8h.html">permutation.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a52c0ccd912e2cd8958d0572d9351e545"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a52c0ccd912e2cd8958d0572d9351e545">operations_research::glop::SparseVector::AddMultipleToDenseVector</a></div><div class="ttdeci">void AddMultipleToDenseVector(Fractional multiplier, DenseVector *dense_vector) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00815">sparse_vector.h:815</a></div></div>
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<div class="ttc" id="alp__types_8h_html"><div class="ttname"><a href="lp__types_8h.html">lp_types.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a9b7a4328b24bbd67f1fc7ae4507264d4"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a9b7a4328b24bbd67f1fc7ae4507264d4">operations_research::glop::SparseVector::SparseVector</a></div><div class="ttdeci">SparseVector(SparseVector &&other)=default</div></div>
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<div class="ttc" id="abase_2logging_8h_html_a4395e95bab44e222cb2e77251017a0e2"><div class="ttname"><a href="base_2logging_8h.html#a4395e95bab44e222cb2e77251017a0e2">DCHECK_LE</a></div><div class="ttdeci">#define DCHECK_LE(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00887">base/logging.h:887</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a997af931ec11394cec3418321c2ecc4b"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a997af931ec11394cec3418321c2ecc4b">operations_research::glop::SparseVector::MultiplyByConstant</a></div><div class="ttdeci">void MultiplyByConstant(Fractional factor)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00762">sparse_vector.h:762</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_aac320ba03bf08d6af55331d499c6b66e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#aac320ba03bf08d6af55331d499c6b66e">operations_research::glop::SparseVector::SparseVector</a></div><div class="ttdeci">SparseVector()</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00459">sparse_vector.h:459</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_af73adef91b5d18671d09dec8ee7d5224"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#af73adef91b5d18671d09dec8ee7d5224">operations_research::glop::SparseVector::MutableIndex</a></div><div class="ttdeci">Index & MutableIndex(EntryIndex i)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00357">sparse_vector.h:357</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_abfc30f91ab75c6f4552003f777672e74"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#abfc30f91ab75c6f4552003f777672e74">operations_research::glop::SparseVector::CleanUp</a></div><div class="ttdeci">void CleanUp()</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00544">sparse_vector.h:544</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ab8dd8d63ac93466fd078c53589bb3222"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ab8dd8d63ac93466fd078c53589bb3222">operations_research::glop::SparseVector::ApplyPartialIndexPermutation</a></div><div class="ttdeci">void ApplyPartialIndexPermutation(const IndexPermutation &index_perm)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00934">sparse_vector.h:934</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a5b9746c75f781968b2f21e2e5701cd84"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a5b9746c75f781968b2f21e2e5701cd84">operations_research::glop::SparseVector::RemoveNearZeroEntriesWithWeights</a></div><div class="ttdeci">void RemoveNearZeroEntriesWithWeights(Fractional threshold, const DenseVector &weights)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00720">sparse_vector.h:720</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_ae79a5d315b1482f609e3e367e58e2f59"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#ae79a5d315b1482f609e3e367e58e2f59">operations_research::glop::SparseVector::IsEqualTo</a></div><div class="ttdeci">bool IsEqualTo(const SparseVector &other) const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00995">sparse_vector.h:995</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_sparse_vector_html_a13baa7e81d062b02cc3e598325fa43fe"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_sparse_vector.html#a13baa7e81d062b02cc3e598325fa43fe">operations_research::glop::SparseVector::begin</a></div><div class="ttdeci">Iterator begin() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector_8h_source.html#l00446">sparse_vector.h:446</a></div></div>
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