| 1 | // Copyright (C) 2006, International Business Machines |
| 2 | // Corporation and others. All Rights Reserved. |
| 3 | // This code is licensed under the terms of the Eclipse Public License (EPL). |
| 4 | |
| 5 | #ifndef OsiAuxInfo_H |
| 6 | #define OsiAuxInfo_H |
| 7 | |
| 8 | class OsiSolverInterface; |
| 9 | |
| 10 | //############################################################################# |
| 11 | /** This class allows for a more structured use of algorithmic tweaking to |
| 12 | an OsiSolverInterface. It is designed to replace the simple use of |
| 13 | appData_ pointer. |
| 14 | |
| 15 | This has been done to make it easier to use NonLinear solvers and other |
| 16 | exotic beasts in a branch and bound mode. After this class definition |
| 17 | there is one for a derived class for just such a purpose. |
| 18 | |
| 19 | */ |
| 20 | |
| 21 | class OsiAuxInfo { |
| 22 | public: |
| 23 | // Default Constructor |
| 24 | OsiAuxInfo (void * appData = NULL); |
| 25 | |
| 26 | // Copy Constructor |
| 27 | OsiAuxInfo (const OsiAuxInfo & rhs); |
| 28 | // Destructor |
| 29 | virtual ~OsiAuxInfo(); |
| 30 | |
| 31 | /// Clone |
| 32 | virtual OsiAuxInfo * clone() const; |
| 33 | /// Assignment operator |
| 34 | OsiAuxInfo & operator=(const OsiAuxInfo& rhs); |
| 35 | |
| 36 | /// Get application data |
| 37 | inline void * getApplicationData() const |
| 38 | { return appData_;} |
| 39 | protected: |
| 40 | /// Pointer to user-defined data structure |
| 41 | void * appData_; |
| 42 | }; |
| 43 | //############################################################################# |
| 44 | /** This class allows for the use of more exotic solvers e.g. Non-Linear or Volume. |
| 45 | |
| 46 | You can derive from this although at present I can't see the need. |
| 47 | */ |
| 48 | |
| 49 | class OsiBabSolver : public OsiAuxInfo { |
| 50 | public: |
| 51 | // Default Constructor |
| 52 | OsiBabSolver (int solverType=0); |
| 53 | |
| 54 | // Copy Constructor |
| 55 | OsiBabSolver (const OsiBabSolver & rhs); |
| 56 | // Destructor |
| 57 | virtual ~OsiBabSolver(); |
| 58 | |
| 59 | /// Clone |
| 60 | virtual OsiAuxInfo * clone() const; |
| 61 | /// Assignment operator |
| 62 | OsiBabSolver & operator=(const OsiBabSolver& rhs); |
| 63 | |
| 64 | /// Update solver |
| 65 | inline void setSolver(const OsiSolverInterface * solver) |
| 66 | { solver_ = solver;} |
| 67 | /// Update solver |
| 68 | inline void setSolver(const OsiSolverInterface & solver) |
| 69 | { solver_ = &solver;} |
| 70 | |
| 71 | /** returns 0 if no heuristic solution, 1 if valid solution |
| 72 | with better objective value than one passed in |
| 73 | Sets solution values if good, sets objective value |
| 74 | numberColumns is size of newSolution |
| 75 | */ |
| 76 | int solution(double & objectiveValue, |
| 77 | double * newSolution, int numberColumns); |
| 78 | /** Set solution and objective value. |
| 79 | Number of columns and optimization direction taken from current solver. |
| 80 | Size of solution is numberColumns (may be padded or truncated in function) */ |
| 81 | void setSolution(const double * solution, int numberColumns, double objectiveValue); |
| 82 | |
| 83 | /** returns true if the object stores a solution, false otherwise. If there |
| 84 | is a solution then solutionValue and solution will be filled out as well. |
| 85 | In that case the user needs to allocate solution to be a big enough |
| 86 | array. |
| 87 | */ |
| 88 | bool hasSolution(double & solutionValue, double * solution); |
| 89 | |
| 90 | /** Sets solver type |
| 91 | 0 - normal LP solver |
| 92 | 1 - DW - may also return heuristic solutions |
| 93 | 2 - NLP solver or similar - can't compute objective value just from solution |
| 94 | check solver to see if feasible and what objective value is |
| 95 | - may also return heuristic solution |
| 96 | 3 - NLP solver or similar - can't compute objective value just from solution |
| 97 | check this (rather than solver) to see if feasible and what objective value is. |
| 98 | Using Outer Approximation so called lp based |
| 99 | - may also return heuristic solution |
| 100 | 4 - normal solver but cuts are needed for integral solution |
| 101 | */ |
| 102 | inline void setSolverType(int value) |
| 103 | { solverType_=value;} |
| 104 | /** gets solver type |
| 105 | 0 - normal LP solver |
| 106 | 1 - DW - may also return heuristic solutions |
| 107 | 2 - NLP solver or similar - can't compute objective value just from solution |
| 108 | check this (rather than solver) to see if feasible and what objective value is |
| 109 | - may also return heuristic solution |
| 110 | 3 - NLP solver or similar - can't compute objective value just from solution |
| 111 | check this (rather than solver) to see if feasible and what objective value is. |
| 112 | Using Outer Approximation so called lp based |
| 113 | - may also return heuristic solution |
| 114 | 4 - normal solver but cuts are needed for integral solution |
| 115 | */ |
| 116 | inline int solverType() const |
| 117 | { return solverType_;} |
| 118 | /** Return true if getting solution may add cuts so hot start etc will |
| 119 | be obsolete */ |
| 120 | inline bool solutionAddsCuts() const |
| 121 | { return solverType_==3;} |
| 122 | /// Return true if we should try cuts at root even if looks satisfied |
| 123 | inline bool alwaysTryCutsAtRootNode() const |
| 124 | { return solverType_==4;} |
| 125 | /** Returns true if can use solver objective or feasible values, |
| 126 | otherwise use mipBound etc */ |
| 127 | inline bool solverAccurate() const |
| 128 | { return solverType_==0||solverType_==2||solverType_==4;} |
| 129 | /// Returns true if can use reduced costs for fixing |
| 130 | inline bool reducedCostsAccurate() const |
| 131 | { return solverType_==0||solverType_==4;} |
| 132 | /// Get objective (well mip bound) |
| 133 | double mipBound() const; |
| 134 | /// Returns true if node feasible |
| 135 | bool mipFeasible() const; |
| 136 | /// Set mip bound (only used for some solvers) |
| 137 | inline void setMipBound(double value) |
| 138 | { mipBound_ = value;} |
| 139 | /// Get objective value of saved solution |
| 140 | inline double bestObjectiveValue() const |
| 141 | { return bestObjectiveValue_;} |
| 142 | /// Says whether we want to try cuts at all |
| 143 | inline bool tryCuts() const |
| 144 | { return solverType_!=2;} |
| 145 | /// Says whether we have a warm start (so can do strong branching) |
| 146 | inline bool warmStart() const |
| 147 | { return solverType_!=2;} |
| 148 | /** Get bit mask for odd actions of solvers |
| 149 | 1 - solution or bound arrays may move in mysterious ways e.g. cplex |
| 150 | 2 - solver may want bounds before branch |
| 151 | */ |
| 152 | inline int () const |
| 153 | { return extraCharacteristics_;} |
| 154 | /** Set bit mask for odd actions of solvers |
| 155 | 1 - solution or bound arrays may move in mysterious ways e.g. cplex |
| 156 | 2 - solver may want bounds before branch |
| 157 | */ |
| 158 | inline void (int value) |
| 159 | { extraCharacteristics_=value;} |
| 160 | /// Pointer to lower bounds before branch (only if extraCharacteristics set) |
| 161 | inline const double * beforeLower() const |
| 162 | { return beforeLower_;} |
| 163 | /// Set pointer to lower bounds before branch (only if extraCharacteristics set) |
| 164 | inline void setBeforeLower(const double * array) |
| 165 | { beforeLower_ = array;} |
| 166 | /// Pointer to upper bounds before branch (only if extraCharacteristics set) |
| 167 | inline const double * beforeUpper() const |
| 168 | { return beforeUpper_;} |
| 169 | /// Set pointer to upper bounds before branch (only if extraCharacteristics set) |
| 170 | inline void setBeforeUpper(const double * array) |
| 171 | { beforeUpper_ = array;} |
| 172 | protected: |
| 173 | /// Objective value of best solution (if there is one) (minimization) |
| 174 | double bestObjectiveValue_; |
| 175 | /// Current lower bound on solution ( if > 1.0e50 infeasible) |
| 176 | double mipBound_; |
| 177 | /// Solver to use for getting/setting solutions etc |
| 178 | const OsiSolverInterface * solver_; |
| 179 | /// Best integer feasible solution |
| 180 | double * bestSolution_; |
| 181 | /// Pointer to lower bounds before branch (only if extraCharacteristics set) |
| 182 | const double * beforeLower_; |
| 183 | /// Pointer to upper bounds before branch (only if extraCharacteristics set) |
| 184 | const double * beforeUpper_; |
| 185 | /** Solver type |
| 186 | 0 - normal LP solver |
| 187 | 1 - DW - may also return heuristic solutions |
| 188 | 2 - NLP solver or similar - can't compute objective value just from solution |
| 189 | check this (rather than solver) to see if feasible and what objective value is |
| 190 | - may also return heuristic solution |
| 191 | 3 - NLP solver or similar - can't compute objective value just from solution |
| 192 | check this (rather than solver) to see if feasible and what objective value is. |
| 193 | Using Outer Approximation so called lp based |
| 194 | - may also return heuristic solution |
| 195 | */ |
| 196 | int solverType_; |
| 197 | /// Size of solution |
| 198 | int sizeSolution_; |
| 199 | /** Bit mask for odd actions of solvers |
| 200 | 1 - solution or bound arrays may move in mysterious ways e.g. cplex |
| 201 | 2 - solver may want bounds before branch |
| 202 | */ |
| 203 | int ; |
| 204 | }; |
| 205 | |
| 206 | #endif |
| 207 | |