Java Reference

Java Reference

OptimizeVar.java
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1 /* ----------------------------------------------------------------------------
2  * This file was automatically generated by SWIG (http://www.swig.org).
3  * Version 4.0.0
4  *
5  * Do not make changes to this file unless you know what you are doing--modify
6  * the SWIG interface file instead.
7  * ----------------------------------------------------------------------------- */
8 
9 package com.google.ortools.constraintsolver;
10 
14 public class OptimizeVar extends SearchMonitor {
15  private transient long swigCPtr;
16 
17  protected OptimizeVar(long cPtr, boolean cMemoryOwn) {
18  super(mainJNI.OptimizeVar_SWIGUpcast(cPtr), cMemoryOwn);
19  swigCPtr = cPtr;
20  }
21 
22  protected static long getCPtr(OptimizeVar obj) {
23  return (obj == null) ? 0 : obj.swigCPtr;
24  }
25 
26  @SuppressWarnings("deprecation")
27  protected void finalize() {
28  delete();
29  }
30 
31  public synchronized void delete() {
32  if (swigCPtr != 0) {
33  if (swigCMemOwn) {
34  swigCMemOwn = false;
35  mainJNI.delete_OptimizeVar(swigCPtr);
36  }
37  swigCPtr = 0;
38  }
39  super.delete();
40  }
41 
42  public OptimizeVar(Solver s, boolean maximize, IntVar a, long step) {
43  this(mainJNI.new_OptimizeVar(Solver.getCPtr(s), s, maximize, IntVar.getCPtr(a), a, step), true);
44  }
45 
49  public long best() {
50  return mainJNI.OptimizeVar_best(swigCPtr, this);
51  }
52 
56  public IntVar var() {
57  long cPtr = mainJNI.OptimizeVar_var(swigCPtr, this);
58  return (cPtr == 0) ? null : new IntVar(cPtr, false);
59  }
60 
64  public boolean acceptDelta(Assignment delta, Assignment deltadelta) {
65  return mainJNI.OptimizeVar_acceptDelta(swigCPtr, this, Assignment.getCPtr(delta), delta, Assignment.getCPtr(deltadelta), deltadelta);
66  }
67 
68  public void enterSearch() {
69  mainJNI.OptimizeVar_enterSearch(swigCPtr, this);
70  }
71 
73  mainJNI.OptimizeVar_beginNextDecision(swigCPtr, this, DecisionBuilder.getCPtr(db), db);
74  }
75 
76  public void refuteDecision(Decision d) {
77  mainJNI.OptimizeVar_refuteDecision(swigCPtr, this, Decision.getCPtr(d), d);
78  }
79 
80  public boolean atSolution() {
81  return mainJNI.OptimizeVar_atSolution(swigCPtr, this);
82  }
83 
84  public boolean acceptSolution() {
85  return mainJNI.OptimizeVar_acceptSolution(swigCPtr, this);
86  }
87 
88  public String print() {
89  return mainJNI.OptimizeVar_print(swigCPtr, this);
90  }
91 
92  public String toString() {
93  return mainJNI.OptimizeVar_toString(swigCPtr, this);
94  }
95 
96  public void accept(ModelVisitor visitor) {
97  mainJNI.OptimizeVar_accept(swigCPtr, this, ModelVisitor.getCPtr(visitor), visitor);
98  }
99 
100  public void applyBound() {
101  mainJNI.OptimizeVar_applyBound(swigCPtr, this);
102  }
103 
104 }
Solver Class A solver represents the main computation engine.
Definition: Solver.java:57
A Decision represents a choice point in the search tree.
Definition: Decision.java:14
OptimizeVar(Solver s, boolean maximize, IntVar a, long step)
boolean acceptDelta(Assignment delta, Assignment deltadelta)
Internal methods.
IntVar var()
Returns the variable that is optimized.
A search monitor is a simple set of callbacks to monitor all search events.
A DecisionBuilder is responsible for creating the search tree.
This class encapsulates an objective.
An Assignment is a variable -> domains mapping, used to report solutions to the user.
Definition: Assignment.java:14
OptimizeVar(long cPtr, boolean cMemoryOwn)
long best()
Returns the best value found during search.