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< a href = "dual__edge__norms_8h.html" > Go to the documentation of this file.< / a > < div class = "fragment" > < div class = "line" > < a id = "l00001" name = "l00001" > < / a > < span class = "lineno" > 1< / span > < span class = "comment" > // Copyright 2010-2021 Google LLC< / span > < / div >
< div class = "line" > < a id = "l00002" name = "l00002" > < / a > < span class = "lineno" > 2< / span > < span class = "comment" > // Licensed under the Apache License, Version 2.0 (the " License" );< / span > < / div >
< div class = "line" > < a id = "l00003" 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 >
< div class = "line" > < a id = "l00004" name = "l00004" > < / a > < span class = "lineno" > 4< / span > < span class = "comment" > // You may obtain a copy of the License at< / span > < / div >
< div class = "line" > < a id = "l00005" name = "l00005" > < / a > < span class = "lineno" > 5< / span > < span class = "comment" > //< / span > < / div >
< div class = "line" > < a id = "l00006" name = "l00006" > < / a > < span class = "lineno" > 6< / span > < span class = "comment" > // http://www.apache.org/licenses/LICENSE-2.0< / span > < / div >
< div class = "line" > < a id = "l00007" name = "l00007" > < / a > < span class = "lineno" > 7< / span > < span class = "comment" > //< / span > < / div >
< div class = "line" > < a id = "l00008" name = "l00008" > < / a > < span class = "lineno" > 8< / span > < span class = "comment" > // Unless required by applicable law or agreed to in writing, software< / span > < / div >
< div class = "line" > < a id = "l00009" name = "l00009" > < / a > < span class = "lineno" > 9< / span > < span class = "comment" > // distributed under the License is distributed on an " AS IS" BASIS,< / span > < / div >
< div class = "line" > < a id = "l00010" name = "l00010" > < / a > < span class = "lineno" > 10< / span > < span class = "comment" > // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.< / span > < / div >
< div class = "line" > < a id = "l00011" name = "l00011" > < / a > < span class = "lineno" > 11< / span > < span class = "comment" > // See the License for the specific language governing permissions and< / span > < / div >
< div class = "line" > < a id = "l00012" name = "l00012" > < / a > < span class = "lineno" > 12< / span > < span class = "comment" > // limitations under the License.< / span > < / div >
< div class = "line" > < a id = "l00013" name = "l00013" > < / a > < span class = "lineno" > 13< / span > < / div >
< div class = "line" > < a id = "l00014" name = "l00014" > < / a > < span class = "lineno" > 14< / span > < span class = "preprocessor" > #ifndef OR_TOOLS_GLOP_DUAL_EDGE_NORMS_H_< / span > < / div >
< div class = "line" > < a id = "l00015" name = "l00015" > < / a > < span class = "lineno" > 15< / span > < span class = "preprocessor" > #define OR_TOOLS_GLOP_DUAL_EDGE_NORMS_H_< / span > < / div >
< div class = "line" > < a id = "l00016" name = "l00016" > < / a > < span class = "lineno" > 16< / span > < / div >
< div class = "line" > < a id = "l00017" name = "l00017" > < / a > < span class = "lineno" > 17< / span > < span class = "preprocessor" > #include " < a class = "code" href = "basis__representation_8h.html" > ortools/glop/basis_representation.h< / a > " < / span > < / div >
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< div class = "line" > < a id = "l00018" name = "l00018" > < / a > < span class = "lineno" > 18< / span > < span class = "preprocessor" > #include " ortools/glop/parameters.pb.h" < / span > < / div >
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< div class = "line" > < a id = "l00019" name = "l00019" > < / a > < span class = "lineno" > 19< / span > < span class = "preprocessor" > #include " < a class = "code" href = "lp__data_8h.html" > ortools/lp_data/lp_data.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00020" name = "l00020" > < / a > < span class = "lineno" > 20< / span > < span class = "preprocessor" > #include " < a class = "code" href = "lp__types_8h.html" > ortools/lp_data/lp_types.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00021" name = "l00021" > < / a > < span class = "lineno" > 21< / span > < span class = "preprocessor" > #include " < a class = "code" href = "lp__data_2permutation_8h.html" > ortools/lp_data/permutation.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00022" name = "l00022" > < / a > < span class = "lineno" > 22< / span > < span class = "preprocessor" > #include " < a class = "code" href = "scattered__vector_8h.html" > ortools/lp_data/scattered_vector.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00023" name = "l00023" > < / a > < span class = "lineno" > 23< / span > < span class = "preprocessor" > #include " < a class = "code" href = "stats_8h.html" > ortools/util/stats.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00024" name = "l00024" > < / a > < span class = "lineno" > 24< / span > < / div >
< div class = "line" > < a id = "l00025" name = "l00025" > < / a > < span class = "lineno" > 25< / span > < span class = "keyword" > namespace < / span > < a class = "code hl_namespace" href = "namespaceoperations__research.html" > operations_research< / a > {< / div >
< div class = "line" > < a id = "l00026" name = "l00026" > < / a > < span class = "lineno" > 26< / span > < span class = "keyword" > namespace < / span > glop {< / div >
< div class = "line" > < a id = "l00027" name = "l00027" > < / a > < span class = "lineno" > 27< / span > < / div >
< div class = "line" > < a id = "l00028" name = "l00028" > < / a > < span class = "lineno" > 28< / span > < span class = "comment" > // This class maintains the dual edge squared norms to be used in the< / span > < / div >
< div class = "line" > < a id = "l00029" name = "l00029" > < / a > < span class = "lineno" > 29< / span > < span class = "comment" > // dual steepest edge pricing. The dual edge u_i associated with a basic< / span > < / div >
< div class = "line" > < a id = "l00030" name = "l00030" > < / a > < span class = "lineno" > 30< / span > < span class = "comment" > // variable of row index i is such that u_i.B = e_i where e_i is the unit row< / span > < / div >
< div class = "line" > < a id = "l00031" name = "l00031" > < / a > < span class = "lineno" > 31< / span > < span class = "comment" > // vector with a 1.0 at position i and B the current basis. We call such vector< / span > < / div >
< div class = "line" > < a id = "l00032" name = "l00032" > < / a > < span class = "lineno" > 32< / span > < span class = "comment" > // u_i an unit row left inverse, and it can be computed by< / span > < / div >
< div class = "line" > < a id = "l00033" name = "l00033" > < / a > < span class = "lineno" > 33< / span > < span class = "comment" > //< / span > < / div >
< div class = "line" > < a id = "l00034" name = "l00034" > < / a > < span class = "lineno" > 34< / span > < span class = "comment" > // basis_factorization.LeftSolveForUnitRow(i, & u_i);< / span > < / div >
< div class = "line" > < a id = "l00035" name = "l00035" > < / a > < span class = "lineno" > 35< / span > < span class = "comment" > //< / span > < / div >
< div class = "line" > < a id = "l00036" name = "l00036" > < / a > < span class = "lineno" > 36< / span > < span class = "comment" > // Instead of computing each ||u_i|| at every iteration, it is more efficient to< / span > < / div >
< div class = "line" > < a id = "l00037" name = "l00037" > < / a > < span class = "lineno" > 37< / span > < span class = "comment" > // update them incrementally for each basis pivot applied to B. See the code or< / span > < / div >
< div class = "line" > < a id = "l00038" name = "l00038" > < / a > < span class = "lineno" > 38< / span > < span class = "comment" > // the papers below for details:< / span > < / div >
< div class = "line" > < a id = "l00039" name = "l00039" > < / a > < span class = "lineno" > 39< / span > < span class = "comment" > //< / span > < / div >
< div class = "line" > < a id = "l00040" name = "l00040" > < / a > < span class = "lineno" > 40< / span > < span class = "comment" > // J.J. Forrest, D. Goldfarb, " Steepest-edge simplex algorithms for linear< / span > < / div >
< div class = "line" > < a id = "l00041" name = "l00041" > < / a > < span class = "lineno" > 41< / span > < span class = "comment" > // programming" , Mathematical Programming 57 (1992) 341-374, North-Holland.< / span > < / div >
< div class = "line" > < a id = "l00042" name = "l00042" > < / a > < span class = "lineno" > 42< / span > < span class = "comment" > // http://www.springerlink.com/content/q645w3t2q229m248/< / span > < / div >
< div class = "line" > < a id = "l00043" name = "l00043" > < / a > < span class = "lineno" > 43< / span > < span class = "comment" > //< / span > < / div >
< div class = "line" > < a id = "l00044" name = "l00044" > < / a > < span class = "lineno" > 44< / span > < span class = "comment" > // Achim Koberstein, " The dual simplex method, techniques for a fast and stable< / span > < / div >
< div class = "line" > < a id = "l00045" name = "l00045" > < / a > < span class = "lineno" > 45< / span > < span class = "comment" > // implementation" , PhD, Paderborn, Univ., 2005.< / span > < / div >
< div class = "line" > < a id = "l00046" name = "l00046" > < / a > < span class = "lineno" > 46< / span > < span class = "comment" > // http://digital.ub.uni-paderborn.de/hs/download/pdf/3885?originalFilename=true< / span > < / div >
< div class = "line" > < a id = "l00047" name = "l00047" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html" > 47< / a > < / span > < span class = "keyword" > class < / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html" > DualEdgeNorms< / a > {< / div >
< div class = "line" > < a id = "l00048" name = "l00048" > < / a > < span class = "lineno" > 48< / span > < span class = "keyword" > public< / span > :< / div >
< div class = "line" > < a id = "l00049" name = "l00049" > < / a > < span class = "lineno" > 49< / span > < span class = "comment" > // Takes references to the linear program data we need.< / span > < / div >
< div class = "line" > < a id = "l00050" name = "l00050" > < / a > < span class = "lineno" > 50< / span > < span class = "keyword" > explicit< / span > < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#aae480c260ae0af4e638f918eb7deaaf4" > DualEdgeNorms< / a > (< span class = "keyword" > const< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_basis_factorization.html" > BasisFactorization< / a > & basis_factorization);< / div >
< div class = "line" > < a id = "l00051" name = "l00051" > < / a > < span class = "lineno" > 51< / span > < / div >
< div class = "line" > < a id = "l00052" name = "l00052" > < / a > < span class = "lineno" > 52< / span > < span class = "comment" > // Clears, i.e. reset the object to its initial value. This will trigger a< / span > < / div >
< div class = "line" > < a id = "l00053" name = "l00053" > < / a > < span class = "lineno" > 53< / span > < span class = "comment" > // full norm recomputation on the next GetEdgeSquaredNorms().< / span > < / div >
< div class = "line" > < a id = "l00054" name = "l00054" > < / a > < span class = "lineno" > 54< / span > < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#aa71d36872f416feaa853788a7a7a7ef8" > Clear< / a > ();< / div >
< div class = "line" > < a id = "l00055" name = "l00055" > < / a > < span class = "lineno" > 55< / span > < / div >
< div class = "line" > < a id = "l00056" name = "l00056" > < / a > < span class = "lineno" > 56< / span > < span class = "comment" > // When we just add new constraints to the matrix and use an incremental< / span > < / div >
< div class = "line" > < a id = "l00057" name = "l00057" > < / a > < span class = "lineno" > 57< / span > < span class = "comment" > // solve, we do not need to recompute the norm of the old rows, and the norm< / span > < / div >
< div class = "line" > < a id = "l00058" name = "l00058" > < / a > < span class = "lineno" > 58< / span > < span class = "comment" > // of the new ones can be just set to 1 as long as we use identity columns for< / span > < / div >
< div class = "line" > < a id = "l00059" name = "l00059" > < / a > < span class = "lineno" > 59< / span > < span class = "comment" > // these.< / span > < / div >
< div class = "line" > < a id = "l00060" name = "l00060" > < / a > < span class = "lineno" > 60< / span > < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#aa1eaa31ee29b8635d194762c1eb80962" > ResizeOnNewRows< / a > (RowIndex new_size);< / div >
< div class = "line" > < a id = "l00061" name = "l00061" > < / a > < span class = "lineno" > 61< / span > < / div >
< div class = "line" > < a id = "l00062" name = "l00062" > < / a > < span class = "lineno" > 62< / span > < span class = "comment" > // If this is true, then the caller must re-factorize the basis before the< / span > < / div >
< div class = "line" > < a id = "l00063" name = "l00063" > < / a > < span class = "lineno" > 63< / span > < span class = "comment" > // next call to GetEdgeSquaredNorms(). This is because the latter will< / span > < / div >
< div class = "line" > < a id = "l00064" name = "l00064" > < / a > < span class = "lineno" > 64< / span > < span class = "comment" > // recompute the norms from scratch and therefore needs a hightened precision< / span > < / div >
< div class = "line" > < a id = "l00065" name = "l00065" > < / a > < span class = "lineno" > 65< / span > < span class = "comment" > // and speed. This also indicates if GetEdgeSquaredNorms() will trigger a< / span > < / div >
< div class = "line" > < a id = "l00066" name = "l00066" > < / a > < span class = "lineno" > 66< / span > < span class = "comment" > // recomputation.< / span > < / div >
< div class = "line" > < a id = "l00067" name = "l00067" > < / a > < span class = "lineno" > 67< / span > < span class = "keywordtype" > bool< / span > < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#af507437729fd1e93677772e748ca1cfc" > NeedsBasisRefactorization< / a > () < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a id = "l00068" name = "l00068" > < / a > < span class = "lineno" > 68< / span > < / div >
< div class = "line" > < a id = "l00069" name = "l00069" > < / a > < span class = "lineno" > 69< / span > < span class = "comment" > // Returns the dual edge squared norms. This is only valid if the caller< / span > < / div >
< div class = "line" > < a id = "l00070" name = "l00070" > < / a > < span class = "lineno" > 70< / span > < span class = "comment" > // properly called UpdateBeforeBasisPivot() before each basis pivot, or just< / span > < / div >
< div class = "line" > < a id = "l00071" name = "l00071" > < / a > < span class = "lineno" > 71< / span > < span class = "comment" > // called Clear().< / span > < / div >
< div class = "line" > < a id = "l00072" name = "l00072" > < / a > < span class = "lineno" > 72< / span > < span class = "keyword" > const< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html" > DenseColumn< / a > & < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#a1f1a686f26843ecfeb36e71f7626c330" > GetEdgeSquaredNorms< / a > ();< / div >
< div class = "line" > < a id = "l00073" name = "l00073" > < / a > < span class = "lineno" > 73< / span > < / div >
< div class = "line" > < a id = "l00074" name = "l00074" > < / a > < span class = "lineno" > 74< / span > < span class = "comment" > // Updates the norms if the columns of the basis where permuted.< / span > < / div >
< div class = "line" > < a id = "l00075" name = "l00075" > < / a > < span class = "lineno" > 75< / span > < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#a0c2c64e7a26487661db464cb20d4ddfe" > UpdateDataOnBasisPermutation< / a > (< span class = "keyword" > const< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_permutation.html" > ColumnPermutation< / a > & col_perm);< / div >
< div class = "line" > < a id = "l00076" name = "l00076" > < / a > < span class = "lineno" > 76< / span > < / div >
< div class = "line" > < a id = "l00077" name = "l00077" > < / a > < span class = "lineno" > 77< / span > < span class = "comment" > // Updates the norms just before a basis pivot is applied:< / span > < / div >
< div class = "line" > < a id = "l00078" name = "l00078" > < / a > < span class = "lineno" > 78< / span > < span class = "comment" > // - The column at leaving_row will leave the basis and the column at< / span > < / div >
< div class = "line" > < a id = "l00079" name = "l00079" > < / a > < span class = "lineno" > 79< / span > < span class = "comment" > // entering_col will enter it.< / span > < / div >
< div class = "line" > < a id = "l00080" name = "l00080" > < / a > < span class = "lineno" > 80< / span > < span class = "comment" > // - direction is the right inverse of the entering column.< / span > < / div >
< div class = "line" > < a id = "l00081" name = "l00081" > < / a > < span class = "lineno" > 81< / span > < span class = "comment" > // - unit_row_left_inverse is the left inverse of the unit row with index< / span > < / div >
< div class = "line" > < a id = "l00082" name = "l00082" > < / a > < span class = "lineno" > 82< / span > < span class = "comment" > // given by the leaving_row. This is also the leaving dual edge.< / span > < / div >
< div class = "line" > < a id = "l00083" name = "l00083" > < / a > < span class = "lineno" > 83< / span > < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#a07ecfa8dabb00a7f680dc64efe1127d1" > UpdateBeforeBasisPivot< / a > (ColIndex entering_col, RowIndex leaving_row,< / div >
< div class = "line" > < a id = "l00084" name = "l00084" > < / a > < span class = "lineno" > 84< / span > < span class = "keyword" > const< / span > < a class = "code hl_struct" href = "structoperations__research_1_1glop_1_1_scattered_column.html" > ScatteredColumn< / a > & direction,< / div >
< div class = "line" > < a id = "l00085" name = "l00085" > < / a > < span class = "lineno" > 85< / span > < span class = "keyword" > const< / span > < a class = "code hl_struct" href = "structoperations__research_1_1glop_1_1_scattered_row.html" > ScatteredRow< / a > & unit_row_left_inverse);< / div >
< div class = "line" > < a id = "l00086" name = "l00086" > < / a > < span class = "lineno" > 86< / span > < / div >
< div class = "line" > < a id = "l00087" name = "l00087" > < / a > < span class = "lineno" > 87< / span > < span class = "comment" > // Sets the algorithm parameters.< / span > < / div >
2022-03-04 00:11:33 +01:00
< div class = "line" > < a id = "l00088" name = "l00088" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#ae7202d055b6b172a8a1da4f5b136f9ea" > 88< / a > < / span > < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#ae7202d055b6b172a8a1da4f5b136f9ea" > SetParameters< / a > (< span class = "keyword" > const< / span > GlopParameters& < a class = "code hl_variable" href = "cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219" > parameters< / a > ) {< / div >
2022-01-17 21:42:14 +01:00
< div class = "line" > < a id = "l00089" name = "l00089" > < / a > < span class = "lineno" > 89< / span > parameters_ = < a class = "code hl_variable" href = "cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219" > parameters< / a > ;< / div >
< div class = "line" > < a id = "l00090" name = "l00090" > < / a > < span class = "lineno" > 90< / span > }< / div >
< div class = "line" > < a id = "l00091" name = "l00091" > < / a > < span class = "lineno" > 91< / span > < / div >
< div class = "line" > < a id = "l00092" name = "l00092" > < / a > < span class = "lineno" > 92< / span > < span class = "comment" > // Stats related functions.< / span > < / div >
< div class = "line" > < a id = "l00093" name = "l00093" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#af9bc435481ae9e6e60d66a65d5394a7f" > 93< / a > < / span > std::string < a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#af9bc435481ae9e6e60d66a65d5394a7f" > StatString< / a > ()< span class = "keyword" > const < / span > { < span class = "keywordflow" > return< / span > stats_.StatString(); }< / div >
< div class = "line" > < a id = "l00094" name = "l00094" > < / a > < span class = "lineno" > 94< / span > < / div >
< div class = "line" > < a id = "l00095" name = "l00095" > < / a > < span class = "lineno" > 95< / span > < span class = "keyword" > private< / span > :< / div >
< div class = "line" > < a id = "l00096" name = "l00096" > < / a > < span class = "lineno" > 96< / span > < span class = "comment" > // Recomputes the dual edge squared norms from scratch with maximum precision.< / span > < / div >
< div class = "line" > < a id = "l00097" name = "l00097" > < / a > < span class = "lineno" > 97< / span > < span class = "comment" > // The matrix must have been refactorized before because we will do a lot of< / span > < / div >
< div class = "line" > < a id = "l00098" name = "l00098" > < / a > < span class = "lineno" > 98< / span > < span class = "comment" > // inversions. See NeedsBasisRefactorization(). This is checked in debug mode.< / span > < / div >
< div class = "line" > < a id = "l00099" name = "l00099" > < / a > < span class = "lineno" > 99< / span > < span class = "keywordtype" > void< / span > ComputeEdgeSquaredNorms();< / div >
< div class = "line" > < a id = "l00100" name = "l00100" > < / a > < span class = "lineno" > 100< / span > < / div >
< div class = "line" > < a id = "l00101" name = "l00101" > < / a > < span class = "lineno" > 101< / span > < span class = "comment" > // Computes the vector tau needed to update the norms using a right solve:< / span > < / div >
< div class = "line" > < a id = "l00102" name = "l00102" > < / a > < span class = "lineno" > 102< / span > < span class = "comment" > // B.tau = (u_i)^T, u_i.B = e_i for i = leaving_row.< / span > < / div >
< div class = "line" > < a id = "l00103" name = "l00103" > < / a > < span class = "lineno" > 103< / span > < span class = "keyword" > const< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html" > DenseColumn< / a > & ComputeTau(< span class = "keyword" > const< / span > < a class = "code hl_struct" href = "structoperations__research_1_1glop_1_1_scattered_column.html" > ScatteredColumn< / a > & unit_row_left_inverse);< / div >
< div class = "line" > < a id = "l00104" name = "l00104" > < / a > < span class = "lineno" > 104< / span > < / div >
< div class = "line" > < a id = "l00105" name = "l00105" > < / a > < span class = "lineno" > 105< / span > < span class = "comment" > // Statistics.< / span > < / div >
< div class = "line" > < a id = "l00106" name = "l00106" > < / a > < span class = "lineno" > 106< / span > < span class = "keyword" > struct < / span > Stats : < span class = "keyword" > public< / span > < a class = "code hl_class" href = "classoperations__research_1_1_stats_group.html" > StatsGroup< / a > {< / div >
< div class = "line" > < a id = "l00107" name = "l00107" > < / a > < span class = "lineno" > 107< / span > Stats()< / div >
< div class = "line" > < a id = "l00108" name = "l00108" > < / a > < span class = "lineno" > 108< / span > : < a class = "code hl_class" href = "classoperations__research_1_1_stats_group.html" > StatsGroup< / a > (< span class = "stringliteral" > " DualEdgeNorms" < / span > ),< / div >
< div class = "line" > < a id = "l00109" name = "l00109" > < / a > < span class = "lineno" > 109< / span > tau_density(< span class = "stringliteral" > " tau_density" < / span > , this),< / div >
< div class = "line" > < a id = "l00110" name = "l00110" > < / a > < span class = "lineno" > 110< / span > edge_norms_accuracy(< span class = "stringliteral" > " edge_norms_accuracy" < / span > , this),< / div >
< div class = "line" > < a id = "l00111" name = "l00111" > < / a > < span class = "lineno" > 111< / span > lower_bounded_norms(< span class = "stringliteral" > " lower_bounded_norms" < / span > , this) {}< / div >
< div class = "line" > < a id = "l00112" name = "l00112" > < / a > < span class = "lineno" > 112< / span > < a class = "code hl_class" href = "classoperations__research_1_1_ratio_distribution.html" > RatioDistribution< / a > tau_density;< / div >
< div class = "line" > < a id = "l00113" name = "l00113" > < / a > < span class = "lineno" > 113< / span > < a class = "code hl_class" href = "classoperations__research_1_1_double_distribution.html" > DoubleDistribution< / a > edge_norms_accuracy;< / div >
< div class = "line" > < a id = "l00114" name = "l00114" > < / a > < span class = "lineno" > 114< / span > < a class = "code hl_class" href = "classoperations__research_1_1_integer_distribution.html" > IntegerDistribution< / a > lower_bounded_norms;< / div >
< div class = "line" > < a id = "l00115" name = "l00115" > < / a > < span class = "lineno" > 115< / span > };< / div >
< div class = "line" > < a id = "l00116" name = "l00116" > < / a > < span class = "lineno" > 116< / span > Stats stats_;< / div >
< div class = "line" > < a id = "l00117" name = "l00117" > < / a > < span class = "lineno" > 117< / span > < / div >
< div class = "line" > < a id = "l00118" name = "l00118" > < / a > < span class = "lineno" > 118< / span > < span class = "comment" > // Parameters.< / span > < / div >
< div class = "line" > < a id = "l00119" name = "l00119" > < / a > < span class = "lineno" > 119< / span > GlopParameters parameters_;< / div >
< div class = "line" > < a id = "l00120" name = "l00120" > < / a > < span class = "lineno" > 120< / span > < / div >
< div class = "line" > < a id = "l00121" name = "l00121" > < / a > < span class = "lineno" > 121< / span > < span class = "comment" > // Problem data that should be updated from outside.< / span > < / div >
< div class = "line" > < a id = "l00122" name = "l00122" > < / a > < span class = "lineno" > 122< / span > < span class = "keyword" > const< / span > BasisFactorization& basis_factorization_;< / div >
< div class = "line" > < a id = "l00123" name = "l00123" > < / a > < span class = "lineno" > 123< / span > < / div >
< div class = "line" > < a id = "l00124" name = "l00124" > < / a > < span class = "lineno" > 124< / span > < span class = "comment" > // The dual edge norms.< / span > < / div >
< div class = "line" > < a id = "l00125" name = "l00125" > < / a > < span class = "lineno" > 125< / span > < a class = "code hl_typedef" href = "namespaceoperations__research_1_1glop.html#ae5fa9e57c2d31b294195ed8a9e17bfac" > DenseColumn< / a > edge_squared_norms_;< / div >
< div class = "line" > < a id = "l00126" name = "l00126" > < / a > < span class = "lineno" > 126< / span > < / div >
< div class = "line" > < a id = "l00127" name = "l00127" > < / a > < span class = "lineno" > 127< / span > < span class = "comment" > // Whether we should recompute the norm from scratch.< / span > < / div >
< div class = "line" > < a id = "l00128" name = "l00128" > < / a > < span class = "lineno" > 128< / span > < span class = "keywordtype" > bool< / span > recompute_edge_squared_norms_;< / div >
< div class = "line" > < a id = "l00129" name = "l00129" > < / a > < span class = "lineno" > 129< / span > < / div >
< div class = "line" > < a id = "l00130" name = "l00130" > < / a > < span class = "lineno" > 130< / span > DISALLOW_COPY_AND_ASSIGN(< a class = "code hl_function" href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#aae480c260ae0af4e638f918eb7deaaf4" > DualEdgeNorms< / a > );< / div >
< div class = "line" > < a id = "l00131" name = "l00131" > < / a > < span class = "lineno" > 131< / span > };< / div >
< div class = "line" > < a id = "l00132" name = "l00132" > < / a > < span class = "lineno" > 132< / span > < / div >
< div class = "line" > < a id = "l00133" name = "l00133" > < / a > < span class = "lineno" > 133< / span > } < span class = "comment" > // namespace glop< / span > < / div >
< div class = "line" > < a id = "l00134" name = "l00134" > < / a > < span class = "lineno" > 134< / span > } < span class = "comment" > // namespace operations_research< / span > < / div >
< div class = "line" > < a id = "l00135" name = "l00135" > < / a > < span class = "lineno" > 135< / span > < / div >
< div class = "line" > < a id = "l00136" name = "l00136" > < / a > < span class = "lineno" > 136< / span > < span class = "preprocessor" > #endif < / span > < span class = "comment" > // OR_TOOLS_GLOP_DUAL_EDGE_NORMS_H_< / span > < / div >
< div class = "ttc" id = "abasis__representation_8h_html" > < div class = "ttname" > < a href = "basis__representation_8h.html" > basis_representation.h< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1_double_distribution_html" > < div class = "ttname" > < a href = "classoperations__research_1_1_double_distribution.html" > operations_research::DoubleDistribution< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "stats_8h_source.html#l00275" > stats.h:275< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1_integer_distribution_html" > < div class = "ttname" > < a href = "classoperations__research_1_1_integer_distribution.html" > operations_research::IntegerDistribution< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "stats_8h_source.html#l00287" > stats.h:287< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1_ratio_distribution_html" > < div class = "ttname" > < a href = "classoperations__research_1_1_ratio_distribution.html" > operations_research::RatioDistribution< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "stats_8h_source.html#l00263" > stats.h:263< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1_stats_group_html" > < div class = "ttname" > < a href = "classoperations__research_1_1_stats_group.html" > operations_research::StatsGroup< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "stats_8h_source.html#l00131" > stats.h:131< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_basis_factorization_html" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_basis_factorization.html" > operations_research::glop::BasisFactorization< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "basis__representation_8h_source.html#l00151" > basis_representation.h:151< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html" > operations_research::glop::DualEdgeNorms< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8h_source.html#l00047" > dual_edge_norms.h:47< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_a07ecfa8dabb00a7f680dc64efe1127d1" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#a07ecfa8dabb00a7f680dc64efe1127d1" > operations_research::glop::DualEdgeNorms::UpdateBeforeBasisPivot< / a > < / div > < div class = "ttdeci" > void UpdateBeforeBasisPivot(ColIndex entering_col, RowIndex leaving_row, const ScatteredColumn & direction, const ScatteredRow & unit_row_left_inverse)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8cc_source.html#l00046" > dual_edge_norms.cc:46< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_a0c2c64e7a26487661db464cb20d4ddfe" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#a0c2c64e7a26487661db464cb20d4ddfe" > operations_research::glop::DualEdgeNorms::UpdateDataOnBasisPermutation< / a > < / div > < div class = "ttdeci" > void UpdateDataOnBasisPermutation(const ColumnPermutation & col_perm)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8cc_source.html#l00040" > dual_edge_norms.cc:40< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_a1f1a686f26843ecfeb36e71f7626c330" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#a1f1a686f26843ecfeb36e71f7626c330" > operations_research::glop::DualEdgeNorms::GetEdgeSquaredNorms< / a > < / div > < div class = "ttdeci" > const DenseColumn & GetEdgeSquaredNorms()< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8cc_source.html#l00035" > dual_edge_norms.cc:35< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_aa1eaa31ee29b8635d194762c1eb80962" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#aa1eaa31ee29b8635d194762c1eb80962" > operations_research::glop::DualEdgeNorms::ResizeOnNewRows< / a > < / div > < div class = "ttdeci" > void ResizeOnNewRows(RowIndex new_size)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8cc_source.html#l00031" > dual_edge_norms.cc:31< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_aa71d36872f416feaa853788a7a7a7ef8" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#aa71d36872f416feaa853788a7a7a7ef8" > operations_research::glop::DualEdgeNorms::Clear< / a > < / div > < div class = "ttdeci" > void Clear()< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8cc_source.html#l00029" > dual_edge_norms.cc:29< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_aae480c260ae0af4e638f918eb7deaaf4" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#aae480c260ae0af4e638f918eb7deaaf4" > operations_research::glop::DualEdgeNorms::DualEdgeNorms< / a > < / div > < div class = "ttdeci" > DualEdgeNorms(const BasisFactorization & basis_factorization)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8cc_source.html#l00021" > dual_edge_norms.cc:21< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_ae7202d055b6b172a8a1da4f5b136f9ea" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#ae7202d055b6b172a8a1da4f5b136f9ea" > operations_research::glop::DualEdgeNorms::SetParameters< / a > < / div > < div class = "ttdeci" > void SetParameters(const GlopParameters & parameters)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8h_source.html#l00088" > dual_edge_norms.h:88< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_af507437729fd1e93677772e748ca1cfc" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#af507437729fd1e93677772e748ca1cfc" > operations_research::glop::DualEdgeNorms::NeedsBasisRefactorization< / a > < / div > < div class = "ttdeci" > bool NeedsBasisRefactorization() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8cc_source.html#l00025" > dual_edge_norms.cc:25< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_dual_edge_norms_html_af9bc435481ae9e6e60d66a65d5394a7f" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_dual_edge_norms.html#af9bc435481ae9e6e60d66a65d5394a7f" > operations_research::glop::DualEdgeNorms::StatString< / a > < / div > < div class = "ttdeci" > std::string StatString() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "dual__edge__norms_8h_source.html#l00093" > dual_edge_norms.h:93< / a > < / div > < / div >
< 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< ColIndex > < / a > < / div > < / div >
< 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< RowIndex, Fractional > < / a > < / div > < / div >
2022-03-04 00:11:33 +01:00
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