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gfan
gfan-soplex.patch
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File gfan-soplex.patch of Package gfan
--- gfan0.7/src/lp_soplexcdd.cpp.orig 2024-08-12 13:34:07.043619886 -0600 +++ gfan0.7/src/lp_soplexcdd.cpp 2024-08-12 13:42:14.382953300 -0600 @@ -1,37 +1,11 @@ #include "lp_soplexcdd.h" -#include "printer.h" - -#include "spxdefines.h" -#include "spxsolver.h" - -#include "timer.h" -#include "spxpricer.h" -//#include "spxdefaultpr.h" -#include "spxparmultpr.h" -#include "spxdevexpr.h" -#include "spxhybridpr.h" -#include "spxsteeppr.h" -#include "spxweightpr.h" -#include "spxratiotester.h" -#include "spxharrisrt.h" -#include "spxdefaultrt.h" -#include "spxfastrt.h" -#include "spxsimplifier.h" -//#include "spxaggregatesm.h" -//#include "spxredundantsm.h" -//#include "spxrem1sm.h" -//#include "spxgeneralsm.h" -#include "spxscaler.h" -#include "spxequilisc.h" -#include "spxsumst.h" -#include "spxweightst.h" -#include "spxvectorst.h" -#include "slufactor.h" -#include "soplex.h" +#include <soplex/spxdefines.h> +#include <soplex.h> #include "continuedfractions.h" #include "matrix.h" #include "linalg.h" +#include "printer.h" #include "log.h" using namespace soplex; @@ -42,81 +16,45 @@ using namespace soplex; class MySoPlex : public SoPlex { private: - SLUFactor m_slu; + SLUFactor<Real> m_slu; public: /// default constructor - MySoPlex(SPxSolver::Type p_type = SPxSolver::LEAVE, SPxSolver::Representation p_rep = SPxSolver::COLUMN) - : SoPlex(p_type, p_rep) + MySoPlex() : SoPlexBase<Real>() { + NameSet rownames; + NameSet colnames; + SPxOut::Verbosity verbose = SPxOut::Verbosity::ERROR; + SLUFactor<Real>::UpdateType update = SLUFactor<Real>::FOREST_TOMLIN; + Real timelimit = 1.0; + spxout.setVerbosity(verbose); + //options -p4 -t2 -g1 -s0 -c0 + setUtype(update); - bool print_solution = false; - bool print_quality = false; - NameSet rownames; - NameSet colnames; - SPxStarter* starter = 0; - SPxSolver::Type type = SPxSolver::LEAVE; - SPxSolver::Representation representation = SPxSolver::COLUMN; - int precision; - Real delta = DEFAULT_BND_VIOL; - Real epsilon = DEFAULT_EPS_ZERO; - int verbose = 0; - SLUFactor::UpdateType update = SLUFactor::FOREST_TOMLIN; - Real timelimit = 1.0;-1.0; - SPxPricer* pricer = 0; - SPxRatioTester* ratiotester = 0; - SPxScaler* scaler = 0; - SPxSimplifier* simplifier = 0; - - precision = int(-log10(delta)) + 1; - - Param::setEpsilon(epsilon); - Param::setVerbose(verbose); - - - - //options -p4 -t2 -g1 -s0 -c0 - setUtype(update); - setTerminationTime(timelimit); - setDelta(delta); - - assert(isConsistent()); - - pricer = new SPxSteepPR; - setPricer(pricer); - assert(isConsistent()); + setRealParam(TIMELIMIT, timelimit); + assert(isConsistent()); - ratiotester = new SPxFastRT; - setTester(ratiotester); - assert(isConsistent()); + setIntParam(PRICER, PRICER_STEEP); + assert(isConsistent()); - /* scaler = new SPxEquili(representation == SoPlex::COLUMN, true); - setScaler(scaler); - assert(isConsistent()); - */ - setSimplifier(simplifier); - assert(isConsistent()); + setIntParam(RATIOTESTER, RATIOTESTER_FAST); + assert(isConsistent()); - setStarter(starter); - assert(isConsistent()); - } + setIntParam(SIMPLIFIER, SIMPLIFIER_OFF); + assert(isConsistent()); - virtual bool terminate() - { - /* if (iteration() % 100 == 0) - std::cout << iteration() << ":\t" << value() << std::endl; - */ - return SoPlex::terminate(); + setIntParam(STARTER, STARTER_OFF); + assert(isConsistent()); } - void setUtype(SLUFactor::UpdateType tp) + void setUtype(SLUFactor<Real>::UpdateType tp) { m_slu.setUtype(tp); } - void build(const IntegerVectorList &g, IntegerVectorList::const_iterator i) + void build(const IntegerVectorList &g, IntegerVectorList::const_iterator i) { int width=g.size()-1; int height=i->v.size(); @@ -141,22 +79,23 @@ public: cols.add(obj,lower,c1,upper); } } - + LPRowSet rows(height,width*height); DSVector r1(width); - + //Change Rows for(int t=0;t<height;t++) rows.add(i->v[t],r1,i->v[t]); - - addRows(rows); - addCols(cols); - - changeSense(SPxLP::MINIMIZE); - + + addRowsReal(rows); + addColsReal(cols); + + setIntParam(OBJSENSE, OBJSENSE_MINIMIZE); + assert(isConsistent()); } - void buildType2(int n, const IntegerVectorList &inequalities, const IntegerVectorList &equations) + + void buildType2(int n, const IntegerVectorList &inequalities, const IntegerVectorList &equations) { int width=n; int nInequalities=inequalities.size(); @@ -192,27 +131,29 @@ public: LPRowSet rows(height,width*height); DSVector r1(width); - + //Change Rows for(int t=0;t<nInequalities;t++) rows.add(0,r1,infinity); for(int t=nInequalities;t<height;t++) rows.add(0,r1,0); - - addRows(rows); - addCols(cols); - - changeSense(SPxLP::MINIMIZE); - + + addRowsReal(rows); + addColsReal(cols); + + setIntParam(OBJSENSE, OBJSENSE_MINIMIZE); + assert(isConsistent()); } }; static int toint(float r) { - return *((int*)&r); + int *theInt = reinterpret_cast<int *>(&r); + return *theInt; } +#if 0 static void printLP(SPxLP &w) { std::cout << "LP has " @@ -272,10 +213,9 @@ static void printLP(SPxLP &w) std::cout<<toint(R.lhs())<<" "<<toint(R.rhs())<<" "<<R.type()<<std::endl; } } +#endif - -MySoPlex work(SPxSolver::LEAVE, SPxSolver::COLUMN); - +static MySoPlex work; static bool isFeasibleSolution(IntegerVector const &solution, int denominator, IntegerVectorList const &g, IntegerVectorList::const_iterator i) { @@ -308,7 +248,7 @@ static bool isInfeasibilityCertificate(I /* for(IntegerVectorList::const_iterator j=g.begin();j!=g.end();j++) {*/ /* double prod=0; - for(int i=0;i<work.nRows();i++) + for(int i=0;i<work.numRows();i++) {prod+=(*j)[i]*certificate[i]; // fprintf(stderr,"%f \n",prod); } @@ -357,17 +297,13 @@ static bool isInfeasibilityCertificateTy bool LpSolverSoPlexCddGmp::isFacet(const IntegerVectorList &g, IntegerVectorList::const_iterator I) { - SPxSolver::Type type = SPxSolver::LEAVE; - SPxSolver::Representation representation = SPxSolver::COLUMN; - int lp_status=0; - work.clear(); + work.clearLPReal(); + work.clearBasis(); work.build(g,I); - retry: - // std::cerr<< work; work.solve(); @@ -377,19 +313,19 @@ bool LpSolverSoPlexCddGmp::isFacet(const { case SPxSolver::OPTIMAL: { - DVector objx(work.nCols()); + DVector objx(work.numCols()); - if( work.getPrimal(objx) != SPxSolver::ERROR ) + if( work.getPrimal(objx) ) { - vector<double> solution(work.nCols()); - for(int i=0;i<work.nCols();i++) + vector<double> solution(work.numCols()); + for(int i=0;i<work.numCols();i++) solution[i]=objx[i]; vector<int> solutionNum; int denominator; doubleVectorToFractions(solution,solutionNum,denominator); IntegerVector s(solution.size()); - for(int i=0;i<s.size();i++)s[i]=solutionNum[i]; + for(size_t i=0;i<s.size();i++)s[i]=solutionNum[i]; if(isFeasibleSolution(s,denominator,g,I)) { @@ -407,19 +343,19 @@ bool LpSolverSoPlexCddGmp::isFacet(const break; case SPxSolver::INFEASIBLE: { - DVector farkasx(work.nRows()); + DVector farkasx(work.numRows()); - if( work.getDualfarkas(farkasx) != SPxSolver::ERROR ) + if( work.getDualFarkas(farkasx) ) { - vector<double> certificate(work.nRows()); - for(int i=0;i<work.nRows();i++) + vector<double> certificate(work.numRows()); + for(int i=0;i<work.numRows();i++) certificate[i]=farkasx[i]; vector<int> certificateNum; int denominator; doubleVectorToFractions(certificate,certificateNum,denominator); IntegerVector c(certificate.size()); - for(int i=0;i<c.size();i++)c[i]=certificateNum[i]; + for(size_t i=0;i<c.size();i++)c[i]=certificateNum[i]; if(isInfeasibilityCertificate(c,g,I)) { @@ -462,17 +398,13 @@ bool LpSolverSoPlexCddGmp::isFacet(const bool LpSolverSoPlexCddGmp::hasHomogeneousSolution(int n, const IntegerVectorList &inequalities, const IntegerVectorList &equations) { - SPxSolver::Type type = SPxSolver::LEAVE; - SPxSolver::Representation representation = SPxSolver::COLUMN; - int lp_status=0; - work.clear(); + work.clearLPReal(); + work.clearBasis(); work.buildType2(n,inequalities,equations); - retry: - // std::cerr<< work; // assert(0); @@ -484,19 +416,19 @@ bool LpSolverSoPlexCddGmp::hasHomogeneou { case SPxSolver::OPTIMAL: { - DVector objx(work.nCols()); + DVector objx(work.numCols()); - if( work.getPrimal(objx) != SPxSolver::ERROR ) + if( work.getPrimal(objx) ) { - vector<double> solution(work.nCols()); - for(int i=0;i<work.nCols();i++) + vector<double> solution(work.numCols()); + for(int i=0;i<work.numCols();i++) solution[i]=objx[i]; vector<int> solutionNum; int denominator; doubleVectorToFractions(solution,solutionNum,denominator); IntegerVector s(solution.size()); - for(int i=0;i<s.size();i++)s[i]=solutionNum[i]; + for(size_t i=0;i<s.size();i++)s[i]=solutionNum[i]; // AsciiPrinter(Stderr).printVector(s); if(isFeasibleSolutionType2(s,inequalities,equations)) @@ -512,7 +444,7 @@ if(0) { { double S=0; assert(i->size()==solution.size()); - for(int j=0;j<i->size();j++)S+=solution[j]*(*i)[j]; + for(size_t j=0;j<i->size();j++)S+=solution[j]*(*i)[j]; if(S>-0.000001 && S<0.000001)A.push_back(*i); } FieldMatrix temp=integerMatrixToFieldMatrix(rowsToIntegerMatrix(A,solution.size()),Q); @@ -538,7 +470,7 @@ if(0) { */ log2 fprintf(Stderr,"Solution failed (Type2).\n"); - /* for(int i=0;i<work.nCols();i++) + /* for(int i=0;i<work.numCols();i++) { std::cerr<<solution[i]<<','; } @@ -558,19 +490,19 @@ if(0) { break; case SPxSolver::INFEASIBLE: { - DVector farkasx(work.nRows()); + DVector farkasx(work.numRows()); - if( work.getDualfarkas(farkasx) != SPxSolver::ERROR ) + if( work.getDualFarkas(farkasx) ) { - vector<double> certificate(work.nRows()); - for(int i=0;i<work.nRows();i++) + vector<double> certificate(work.numRows()); + for(int i=0;i<work.numRows();i++) certificate[i]=farkasx[i]; vector<int> certificateNum; int denominator; doubleVectorToFractions(certificate,certificateNum,denominator); IntegerVector c(certificate.size()); - for(int i=0;i<c.size();i++)c[i]=certificateNum[i]; + for(size_t i=0;i<c.size();i++)c[i]=certificateNum[i]; if(isInfeasibilityCertificateType2(c,n,inequalities,equations)) {
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