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# /home/coin/svn-release/Alps-1.5.2/Cgl/src/CglRedSplit2/CglRedSplit2Param.hpp

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    00001 // Name:     CglRedSplit2Param.hpp
    00002 // Author:   Giacomo Nannicini
    00003 //           Singapore University of Technology and Design
    00004 //           Singapore
    00005 //           email: nannicini@sutd.edu.sg
    00006 // Date:     03/09/09
    00007 //-----------------------------------------------------------------------------
    00008 // Copyright (C) 2010, Giacomo Nannicini and others.  All Rights Reserved.
    00009
    00010 #ifndef CglRedSplit2Param_H
    00011 #define CglRedSplit2Param_H
    00012
    00013 #include "CglParam.hpp"
    00014 #include <vector>
    00015
    00018
    00087
    00088 class CglRedSplit2Param : public CglParam {
    00089
    00090 public:
    00094   enum RowSelectionStrategy{
    00095     /* Pick rows that introduce the fewest nonzeroes on integer nonbasics */
    00096     RS1,
    00097     /* Pick rows that introduce the fewest nonzeroes on the set of working
    00098        continuous nonbasics */
    00099     RS2,
    00100     /* Pick rows that introduce the fewest nonzeroes on both integer and
    00101        working continuous nonbasics */
    00102     RS3,
    00103     /* Same as RS0 but with greedy algorithm */
    00104     RS4,
    00105     /* Same as RS1 but with greedy algorithm */
    00106     RS5,
    00107     /* Same as RS2 but with greedy algorithm */
    00108     RS6,
    00109     /* Pick rows with smallest angle in the space of integer and working
    00110        continuous nonbasics */
    00111     RS7,
    00112     /* Pick rows with smallest angle in the space of working
    00113        continuous nonbasics */
    00114     RS8,
    00115     /* Use all strategies */
    00116     RS_ALL,
    00117     /* Use best ones - that is, RS8 and RS7 */
    00118     RS_BEST
    00119   };
    00120
    00122   enum ColumnSelectionStrategy{
    00123     /* C-3P */
    00124     CS1, CS2, CS3,
    00125     /* C-5P */
    00126     CS4, CS5, CS6, CS7, CS8,
    00127     /* I-2P-2/3 */
    00128     CS9, CS10,
    00129     /* I-2P-4/5 */
    00130     CS11, CS12,
    00131     /* I-2P-1/2 */
    00132     CS13, CS14,
    00133     /* I-3P */
    00134     CS15, CS16, CS17,
    00135     /* I-4P */
    00136     CS18, CS19, CS20, CS21,
    00137     /* Use all strategies up to this point */
    00138     CS_ALL,
    00139     /* Use best strategies (same effect as CS_ALL, because it turns out that
    00140        using all strategies is the best thing to do) */
    00141     CS_BEST,
    00142     /* Optimize over all continuous nonbasic columns; this does not give
    00143        good results, but we use it for testing Lift & Project + RedSplit */
    00144     CS_ALLCONT,
    00145     /* Lift & Project specific strategy: only select variables which
    00146        are nonbasic in the tableau but are basic in the point to cut
    00147        off.  This strategy cannot be used outside L&P. It is not very
    00148        effective even with L&P, but is left here for testing.*/
    00149     CS_LAP_NONBASICS
    00150   };
    00151
    00154   enum ColumnScalingStrategy{
    00155     /* No scaling */
    00156     SC_NONE,
    00157     /* Multiply by |xbar[i]| where xbar[i] is the value of the
    00158        corresponding component of the point that we want to cut off */
    00159     SC_LINEAR,
    00160     /* Multiply by min(factor,|xbar[i]|) */
    00161     SC_LINEAR_BOUNDED,
    00162     /* Multiply by min(factor,log(|xbar[i]|)) */
    00163     SC_LOG_BOUNDED,
    00164     /* Multiply all new nonbasics by factor */
    00165     SC_UNIFORM,
    00166     /* Multiply only nonzero coefficients by factor */
    00167     SC_UNIFORM_NZ
    00168   };
    00169
    00176   virtual void setAway(double value);
    00178   inline double getAway() const {return away_;}
    00179
    00183   void setEPS_ELIM(double value);
    00185   double getEPS_ELIM() const {return EPS_ELIM;}
    00186
    00188   virtual void setEPS_RELAX_ABS(double eps_ra);
    00190   inline double getEPS_RELAX_ABS() const {return EPS_RELAX_ABS;}
    00191
    00193   virtual void setEPS_RELAX_REL(double eps_rr);
    00195   inline double getEPS_RELAX_REL() const {return EPS_RELAX_REL;}
    00196
    00197   // Set the maximum ratio between largest and smallest non zero
    00198   // coefficients in a cut. Default: 1e6.
    00199   virtual void setMAXDYN(double value);
    00201   inline double getMAXDYN() const {return MAXDYN;}
    00202
    00205   virtual void setMINVIOL(double value);
    00207   inline double getMINVIOL() const {return MINVIOL;}
    00208
    00211   inline void setMAX_SUPP_ABS(int value) {setMAX_SUPPORT(value);}
    00212   inline int getMAX_SUPP_ABS() const {return MAX_SUPPORT;}
    00213
    00216   inline void setMAX_SUPP_REL(double value);
    00217   inline double getMAX_SUPP_REL() const {return MAX_SUPP_REL;}
    00218
    00220   virtual void setUSE_INTSLACKS(int value);
    00222   inline int getUSE_INTSLACKS() const {return USE_INTSLACKS;}
    00223
    00226   virtual void setNormIsZero(double value);
    00228   inline double getNormIsZero() const {return normIsZero_;}
    00229
    00231   virtual void setMinNormReduction(double value);
    00233   inline double getMinNormReduction() const {return minNormReduction_;}
    00234
    00236   virtual void setMaxSumMultipliers(int value);
    00238   inline int getMaxSumMultipliers() const {return maxSumMultipliers_;}
    00239
    00241   virtual void setNormalization(double value);
    00243   inline double getNormalization() const {return normalization_;}
    00244
    00248   virtual void addNumRowsReduction(int value);
    00250   inline std::vector<int> getNumRowsReduction() const {return numRowsReduction_;}
    00252   inline void resetNumRowsReduction() {numRowsReduction_.clear();}
    00253
    00255   virtual void addColumnSelectionStrategy(ColumnSelectionStrategy value);
    00257   inline std::vector<ColumnSelectionStrategy> getColumnSelectionStrategy() const {return columnSelectionStrategy_;}
    00259   inline void resetColumnSelectionStrategy(){columnSelectionStrategy_.clear();}
    00260
    00263   virtual void addRowSelectionStrategy(RowSelectionStrategy value);
    00265   inline std::vector<RowSelectionStrategy> getRowSelectionStrategy() const {return rowSelectionStrategy_;};
    00267   inline void resetRowSelectionStrategy() {rowSelectionStrategy_.clear();}
    00268
    00273   virtual void addNumRowsReductionLAP(int value);
    00275   inline std::vector<int> getNumRowsReductionLAP() const {return numRowsReductionLAP_;}
    00277   inline void resetNumRowsReductionLAP() {numRowsReductionLAP_.clear();}
    00278
    00280   virtual void addColumnSelectionStrategyLAP(ColumnSelectionStrategy value);
    00282   inline std::vector<ColumnSelectionStrategy> getColumnSelectionStrategyLAP() const {return columnSelectionStrategyLAP_;}
    00284   inline void resetColumnSelectionStrategyLAP(){columnSelectionStrategyLAP_.clear();}
    00285
    00288   virtual void addRowSelectionStrategyLAP(RowSelectionStrategy value);
    00290   inline std::vector<RowSelectionStrategy> getRowSelectionStrategyLAP() const {return rowSelectionStrategyLAP_;};
    00292   inline void resetRowSelectionStrategyLAP() {rowSelectionStrategyLAP_.clear();}
    00293
    00296   virtual void setColumnScalingStrategyLAP(ColumnScalingStrategy value);
    00298   inline ColumnScalingStrategy getColumnScalingStrategyLAP() const {return columnScalingStrategyLAP_; };
    00299
    00301   virtual void setColumnScalingBoundLAP(double value);
    00303   inline double getColumnScalingBoundLAP() const {return columnScalingBoundLAP_;};
    00304
    00306   virtual void setTimeLimit(double value);
    00308   inline double getTimeLimit() const {return timeLimit_;}
    00309
    00311   virtual void setMaxNumCuts(int value);
    00313   inline int getMaxNumCuts() const {return maxNumCuts_;}
    00314
    00316   virtual void setMaxNumComputedCuts(int value);
    00318   inline int getMaxNumComputedCuts() const {return maxNumComputedCuts_;}
    00319
    00322   virtual void setMaxNonzeroesTab(int value);
    00324   inline int getMaxNonzeroesTab() const {return maxNonzeroesTab_;}
    00325
    00330   virtual void setSkipGomory(int value);
    00332   inline int getSkipGomory() const {return skipGomory_;}
    00333
    00335
    00338
    00339
    00340
    00341   CglRedSplit2Param(bool use_default_strategies = true,
    00342                     double eps = 1e-12,
    00343                     double eps_coeff = 1e-11,
    00344                     double eps_elim = 0.0,
    00345                     double eps_relax_abs = 1e-11,
    00346                     double eps_relax_rel = 1e-13,
    00347                     double max_dyn = 1e6,
    00348                     double min_viol = 1e-3,
    00349                     int max_supp_abs = 1000,
    00350                     double max_supp_rel = 0.1,
    00351                     int use_int_slacks = 0,
    00352                     double norm_zero = 1e-5,
    00353                     double minNormReduction = 0.1,
    00354                     int maxSumMultipliers = 10,
    00355                     double normalization = 0.0001,
    00356                     double away = 0.005,
    00357                     double timeLimit = 60,
    00358                     int maxNumCuts = 10000,
    00359                     int maxNumComputedCuts = 10000,
    00360                     int maxNonzeroesTab = 1000,
    00361                     double columnScalingBoundLAP = 5.0,
    00362                     int skipGomory = 1);
    00363
    00368   CglRedSplit2Param(const CglParam &source,
    00369                     bool use_default_strategies = true,
    00370                     double eps_elim = 0.0,
    00371                     double eps_relax_abs = 1e-11,
    00372                     double eps_relax_rel = 1e-13,
    00373                     double max_dyn = 1e6,
    00374                     double min_viol = 1e-3,
    00375                     double max_supp_rel = 0.1,
    00376                     int use_int_slacks = 0,
    00377                     double norm_zero = 1e-5,
    00378                     double minNormReduction = 0.1,
    00379                     int maxSumMultipliers = 10,
    00380                     double normalization = 0.0001,
    00381                     double away = 0.005,
    00382                     double timeLimit = 60,
    00383                     int maxNumCuts = 10000,
    00384                     int maxNumComputedCuts = 10000,
    00385                     int maxNonzeroesTab = 1000,
    00386                     double columnScalingBoundLAP = 5.0,
    00387                     int skipGomory = 1);
    00388
    00390   CglRedSplit2Param(const CglRedSplit2Param &source);
    00391
    00393   virtual CglRedSplit2Param* clone() const;
    00394
    00396   virtual CglRedSplit2Param& operator=(const CglRedSplit2Param &rhs);
    00397
    00399   virtual ~CglRedSplit2Param();
    00401
    00402 protected:
    00403
    00406
    00409   double EPS_ELIM;
    00410
    00413   double EPS_RELAX_ABS;
    00414
    00418   double EPS_RELAX_REL;
    00419
    00420   // Maximum ratio between largest and smallest non zero
    00421   // coefficients in a cut. Default: 1e6.
    00422   double MAXDYN;
    00423
    00426   double MINVIOL;
    00427
    00429   double MAX_SUPP_REL;
    00430
    00432   int USE_INTSLACKS;
    00433
    00436   double normIsZero_;
    00437
    00439   double minNormReduction_;
    00440
    00442   int maxSumMultipliers_;
    00443
    00446   double normalization_;
    00447
    00450   double away_;
    00451
    00453   std::vector<int> numRowsReduction_;
    00454
    00456   std::vector<ColumnSelectionStrategy> columnSelectionStrategy_;
    00457
    00459   std::vector<RowSelectionStrategy> rowSelectionStrategy_;
    00460
    00462   std::vector<int> numRowsReductionLAP_;
    00463
    00465   std::vector<ColumnSelectionStrategy> columnSelectionStrategyLAP_;
    00466
    00468   std::vector<RowSelectionStrategy> rowSelectionStrategyLAP_;
    00469
    00472   ColumnScalingStrategy columnScalingStrategyLAP_;
    00473
    00475   double columnScalingBoundLAP_;
    00476
    00478   double timeLimit_;
    00479
    00481   int maxNumCuts_;
    00482
    00484   int maxNumComputedCuts_;
    00485
    00487   int maxNonzeroesTab_;
    00488
    00490   int skipGomory_;
    00491
    00493 };
    00494
    00495 #endif