# HG changeset patch # User marci # Date 1102334170 0 # Node ID 0b7169db694f83f5d9f191c64829f24439b9c387 # Parent c8a41699e613032cbf95ec4f6dd17c3ab6bdaccd :-( diff -r c8a41699e613 -r 0b7169db694f src/work/marci/lp/lp_solver_wrapper_2.h --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/work/marci/lp/lp_solver_wrapper_2.h Mon Dec 06 11:56:10 2004 +0000 @@ -0,0 +1,547 @@ +// -*- c++ -*- +#ifndef LEMON_LP_SOLVER_WRAPPER_H +#define LEMON_LP_SOLVER_WRAPPER_H + +///\ingroup misc +///\file +///\brief Dijkstra algorithm. + +// #include +#include +// #include +//#include +extern "C" { +#include "glpk.h" +} + +#include +#include +#include +#include +#include +#include + +//#include +//#include +//#include +#include +//#include +//#include +//#include +//#include +//#include + +using std::cout; +using std::cin; +using std::endl; + +namespace lemon { + + + /// \addtogroup misc + /// @{ + + /// \brief A partitioned vector with iterable classes. + /// + /// This class implements a container in which the data is stored in an + /// stl vector, the range is partitioned into sets and each set is + /// doubly linked in a list. + /// That is, each class is iterable by lemon iterators, and any member of + /// the vector can bo moved to an other class. + template + class IterablePartition { + protected: + struct Node { + T data; + int prev; //invalid az -1 + int next; + }; + std::vector nodes; + struct Tip { + int first; + int last; + }; + std::vector tips; + public: + /// The classes are indexed by integers from \c 0 to \c classNum()-1. + int classNum() const { return tips.size(); } + /// This lemon style iterator iterates through a class. + class ClassIt; + /// Constructor. The number of classes is to be given which is fixed + /// over the life of the container. + /// The partition classes are indexed from 0 to class_num-1. + IterablePartition(int class_num) { + for (int i=0; i::ClassIt RowIt; + /// \e + typedef IterablePartition::ClassIt ColIt; + protected: + /// \e + IterablePartition row_iter_map; + /// \e + IterablePartition col_iter_map; + /// \e + const int VALID_ID; + /// \e + const int INVALID_ID; + public: + /// \e + LPSolverBase() : row_iter_map(2), + col_iter_map(2), + VALID_ID(0), INVALID_ID(1) { } + /// \e + virtual ~LPSolverBase() { } + /// \e + virtual void setMinimize() = 0; + /// \e + virtual void setMaximize() = 0; + /// \e + virtual RowIt addRow() = 0; + /// \e + virtual ColIt addCol() = 0; + /// temporally, glpk style indexing + virtual void setRowCoeffs(RowIt row_it, int num, + int* indices, double* doubles) = 0; + //pair-bol kell megadni egy std range-et + /// \e + template + void setRowCoeffs(RowIt row_it, Begin begin, End end) { + int mem_length=1+colNum(); + int* indices = new int[mem_length]; + double* doubles = new double[mem_length]; + int length=0; + for ( ; begin!=end; ++begin) { + ++length; + indices[length]=col_iter_map[begin->first]; + doubles[length]=begin->second; + } + setRowCoeffs(row_it, length, indices, doubles); + delete [] indices; + delete [] doubles; + } + /// temporally, glpk style indexing + virtual void setColCoeffs(ColIt col_it, int num, + int* indices, double* doubles) = 0; + //pair-bol kell megadni egy std range-et + /// \e + template + void setColCoeffs(ColIt col_it, Begin begin, End end) { + int mem_length=1+rowNum(); + int* indices = new int[mem_length]; + double* doubles = new double[mem_length]; + int length=0; + for ( ; begin!=end; ++begin) { + ++length; + indices[length]=row_iter_map[begin->first]; + doubles[length]=begin->second; + } + setColCoeffs(col_it, length, indices, doubles); + delete [] indices; + delete [] doubles; + } + /// \e + virtual void eraseCol(const ColIt& col_it) = 0; + /// \e + virtual void eraseRow(const RowIt& row_it) = 0; + /// \e + virtual void setColBounds(const ColIt& col_it, int bound_type, + double lo, double up) =0; + /// \e + virtual double getObjCoef(const ColIt& col_it) = 0; + /// \e + virtual void setRowBounds(const RowIt& row_it, int bound_type, + double lo, double up) = 0; + /// \e + virtual void setObjCoef(const ColIt& col_it, double obj_coef) = 0; + /// \e + virtual void solveSimplex() = 0; + /// \e + virtual void solvePrimalSimplex() = 0; + /// \e + virtual void solveDualSimplex() = 0; + /// \e + virtual double getPrimal(const ColIt& col_it) = 0; + /// \e + virtual double getObjVal() = 0; + /// \e + virtual int rowNum() const = 0; + /// \e + virtual int colNum() const = 0; + /// \e + virtual int warmUp() = 0; + /// \e + virtual void printWarmUpStatus(int i) = 0; + /// \e + virtual int getPrimalStatus() = 0; + /// \e + virtual void printPrimalStatus(int i) = 0; + /// \e + virtual int getDualStatus() = 0; + /// \e + virtual void printDualStatus(int i) = 0; + /// Returns the status of the slack variable assigned to row \c row_it. + virtual int getRowStat(const RowIt& row_it) = 0; + /// \e + virtual void printRowStatus(int i) = 0; + /// Returns the status of the variable assigned to column \c col_it. + virtual int getColStat(const ColIt& col_it) = 0; + /// \e + virtual void printColStatus(int i) = 0; + }; + + /// \brief Wrappers for LP solvers + /// + /// This class implements a lemon wrapper for glpk. + /// Later other LP-solvers will be wrapped into lemon. + /// The aim of this class is to give a general surface to different + /// solvers, i.e. it makes possible to write algorithms using LP's, + /// in which the solver can be changed to an other one easily. + class LPSolverWrapper : public LPSolverBase { + public: + typedef LPSolverBase Parent; + + // class Row { + // protected: + // int i; + // public: + // Row() { } + // Row(const Invalid&) : i(0) { } + // Row(const int& _i) : i(_i) { } + // operator int() const { return i; } + // }; + // class RowIt : public Row { + // public: + // RowIt(const Row& row) : Row(row) { } + // }; + + // class Col { + // protected: + // int i; + // public: + // Col() { } + // Col(const Invalid&) : i(0) { } + // Col(const int& _i) : i(_i) { } + // operator int() const { return i; } + // }; + // class ColIt : public Col { + // ColIt(const Col& col) : Col(col) { } + // }; + + public: + /// \e + LPX* lp; + + public: + /// \e + LPSolverWrapper() : LPSolverBase(), + lp(lpx_create_prob()) { + lpx_set_int_parm(lp, LPX_K_DUAL, 1); + } + /// \e + ~LPSolverWrapper() { + lpx_delete_prob(lp); + } + /// \e + void setMinimize() { + lpx_set_obj_dir(lp, LPX_MIN); + } + /// \e + void setMaximize() { + lpx_set_obj_dir(lp, LPX_MAX); + } + /// \e + ColIt addCol() { + int i=lpx_add_cols(lp, 1); + ColIt col_it; + col_iter_map.first(col_it, INVALID_ID); + if (col_iter_map.valid(col_it)) { //van hasznalhato hely + col_iter_map.set(col_it, INVALID_ID, VALID_ID); + col_iter_map[col_it]=i; + //col_id_to_lp_col_id[col_iter_map[col_it]]=i; + } else { //a cucc vegere kell inzertalni mert nincs szabad hely + //col_id_to_lp_col_id.push_back(i); + //int j=col_id_to_lp_col_id.size()-1; + col_it=col_iter_map.push_back(i, VALID_ID); + } + // edge_index_map.set(e, i); + // lpx_set_col_bnds(lp, i, LPX_DB, 0.0, 1.0); + // lpx_set_obj_coef(lp, i, cost[e]); + return col_it; + } + /// \e + RowIt addRow() { + int i=lpx_add_rows(lp, 1); + RowIt row_it; + row_iter_map.first(row_it, INVALID_ID); + if (row_iter_map.valid(row_it)) { //van hasznalhato hely + row_iter_map.set(row_it, INVALID_ID, VALID_ID); + row_iter_map[row_it]=i; + } else { //a cucc vegere kell inzertalni mert nincs szabad hely + row_it=row_iter_map.push_back(i, VALID_ID); + } + return row_it; + } + using Parent::setRowCoeffs; + void setRowCoeffs(RowIt row_it, int length, + int* indices, double* doubles) { + lpx_set_mat_row(lp, row_iter_map[row_it], length, indices, doubles); + } + using Parent::setColCoeffs; + void setColCoeffs(ColIt col_it, int length, + int* indices, double* doubles) { + lpx_set_mat_col(lp, col_iter_map[col_it], length, indices, doubles); + } + // //pair-bol kell megadni egy std range-et + // /// \e + // template + // void setColCoeffs(const ColIt& col_it, + // Begin begin, End end) { + // int mem_length=1+lpx_get_num_rows(lp); + // int* indices = new int[mem_length]; + // double* doubles = new double[mem_length]; + // int length=0; + // for ( ; begin!=end; ++begin) { + // ++length; + // indices[length]=row_iter_map[begin->first]; + // doubles[length]=begin->second; + // } + // lpx_set_mat_col(lp, col_iter_map[col_it], length, indices, doubles); + // delete [] indices; + // delete [] doubles; + // } + // //pair-bol kell megadni egy std range-et + // /// \e + // template + // void setRowCoeffs(const RowIt& row_it, + // Begin begin, End end) { + // int mem_length=1+lpx_get_num_cols(lp); + // int* indices = new int[mem_length]; + // double* doubles = new double[mem_length]; + // int length=0; + // for ( ; begin!=end; ++begin) { + // ++length; + // indices[length]=col_iter_map[begin->first]; + // doubles[length]=begin->second; + // } + // lpx_set_mat_row(lp, row_iter_map[row_it], length, indices, doubles); + // delete [] indices; + // delete [] doubles; + // } + /// \e + void eraseCol(const ColIt& col_it) { + col_iter_map.set(col_it, VALID_ID, INVALID_ID); + int cols[2]; + cols[1]=col_iter_map[col_it]; + lpx_del_cols(lp, 1, cols); + col_iter_map[col_it]=0; //glpk specifikus + ColIt it; + for (col_iter_map.first(it, VALID_ID); + col_iter_map.valid(it); col_iter_map.next(it)) { + if (col_iter_map[it]>cols[1]) --col_iter_map[it]; + } + } + /// \e + void eraseRow(const RowIt& row_it) { + row_iter_map.set(row_it, VALID_ID, INVALID_ID); + int rows[2]; + rows[1]=row_iter_map[row_it]; + lpx_del_rows(lp, 1, rows); + row_iter_map[row_it]=0; //glpk specifikus + RowIt it; + for (row_iter_map.first(it, VALID_ID); + row_iter_map.valid(it); row_iter_map.next(it)) { + if (row_iter_map[it]>rows[1]) --row_iter_map[it]; + } + } + /// \e + void setColBounds(const ColIt& col_it, int bound_type, + double lo, double up) { + lpx_set_col_bnds(lp, col_iter_map[col_it], bound_type, lo, up); + } + /// \e + double getObjCoef(const ColIt& col_it) { + return lpx_get_obj_coef(lp, col_iter_map[col_it]); + } + /// \e + void setRowBounds(const RowIt& row_it, int bound_type, + double lo, double up) { + lpx_set_row_bnds(lp, row_iter_map[row_it], bound_type, lo, up); + } + /// \e + void setObjCoef(const ColIt& col_it, double obj_coef) { + lpx_set_obj_coef(lp, col_iter_map[col_it], obj_coef); + } + /// \e + void solveSimplex() { lpx_simplex(lp); } + /// \e + void solvePrimalSimplex() { lpx_simplex(lp); } + /// \e + void solveDualSimplex() { lpx_simplex(lp); } + /// \e + double getPrimal(const ColIt& col_it) { + return lpx_get_col_prim(lp, col_iter_map[col_it]); + } + /// \e + double getObjVal() { return lpx_get_obj_val(lp); } + /// \e + int rowNum() const { return lpx_get_num_rows(lp); } + /// \e + int colNum() const { return lpx_get_num_cols(lp); } + /// \e + int warmUp() { return lpx_warm_up(lp); } + /// \e + void printWarmUpStatus(int i) { + switch (i) { + case LPX_E_OK: cout << "LPX_E_OK" << endl; break; + case LPX_E_EMPTY: cout << "LPX_E_EMPTY" << endl; break; + case LPX_E_BADB: cout << "LPX_E_BADB" << endl; break; + case LPX_E_SING: cout << "LPX_E_SING" << endl; break; + } + } + /// \e + int getPrimalStatus() { return lpx_get_prim_stat(lp); } + /// \e + void printPrimalStatus(int i) { + switch (i) { + case LPX_P_UNDEF: cout << "LPX_P_UNDEF" << endl; break; + case LPX_P_FEAS: cout << "LPX_P_FEAS" << endl; break; + case LPX_P_INFEAS: cout << "LPX_P_INFEAS" << endl; break; + case LPX_P_NOFEAS: cout << "LPX_P_NOFEAS" << endl; break; + } + } + /// \e + int getDualStatus() { return lpx_get_dual_stat(lp); } + /// \e + void printDualStatus(int i) { + switch (i) { + case LPX_D_UNDEF: cout << "LPX_D_UNDEF" << endl; break; + case LPX_D_FEAS: cout << "LPX_D_FEAS" << endl; break; + case LPX_D_INFEAS: cout << "LPX_D_INFEAS" << endl; break; + case LPX_D_NOFEAS: cout << "LPX_D_NOFEAS" << endl; break; + } + } + /// Returns the status of the slack variable assigned to row \c row_it. + int getRowStat(const RowIt& row_it) { + return lpx_get_row_stat(lp, row_iter_map[row_it]); + } + /// \e + void printRowStatus(int i) { + switch (i) { + case LPX_BS: cout << "LPX_BS" << endl; break; + case LPX_NL: cout << "LPX_NL" << endl; break; + case LPX_NU: cout << "LPX_NU" << endl; break; + case LPX_NF: cout << "LPX_NF" << endl; break; + case LPX_NS: cout << "LPX_NS" << endl; break; + } + } + /// Returns the status of the variable assigned to column \c col_it. + int getColStat(const ColIt& col_it) { + return lpx_get_col_stat(lp, col_iter_map[col_it]); + } + /// \e + void printColStatus(int i) { + switch (i) { + case LPX_BS: cout << "LPX_BS" << endl; break; + case LPX_NL: cout << "LPX_NL" << endl; break; + case LPX_NU: cout << "LPX_NU" << endl; break; + case LPX_NF: cout << "LPX_NF" << endl; break; + case LPX_NS: cout << "LPX_NS" << endl; break; + } + } + }; + + /// @} + +} //namespace lemon + +#endif //LEMON_LP_SOLVER_WRAPPER_H diff -r c8a41699e613 -r 0b7169db694f src/work/marci/lp/max_flow_by_lp.cc --- a/src/work/marci/lp/max_flow_by_lp.cc Mon Dec 06 00:30:44 2004 +0000 +++ b/src/work/marci/lp/max_flow_by_lp.cc Mon Dec 06 11:56:10 2004 +0000 @@ -10,7 +10,7 @@ #include #include //#include -#include +//#include #include // Use a DIMACS max flow file as stdin. @@ -179,7 +179,7 @@ MinCostGenFlow min_cost(g, excess, lcap, cap, flow, cost); min_cost.feasible(); - min_cost.run(); + min_cost.runByLP(); std::cout << "elapsed time: " << ts << std::endl; std::cout << "flow value: "<< flow[e] << std::endl; diff -r c8a41699e613 -r 0b7169db694f src/work/marci/lp/min_cost_gen_flow.h --- a/src/work/marci/lp/min_cost_gen_flow.h Mon Dec 06 00:30:44 2004 +0000 +++ b/src/work/marci/lp/min_cost_gen_flow.h Mon Dec 06 11:56:10 2004 +0000 @@ -14,7 +14,7 @@ //#include //#include #include -#include +#include namespace lemon { @@ -211,10 +211,11 @@ return (expected>=min_cost_flow.flowValue()); } void runByLP() { - LPSolverWrapper lp; + typedef LPSolverWrapper LPSolver; + LPSolver lp; lp.setMinimize(); - typedef LPSolverWrapper::ColIt ColIt; - typedef LPSolverWrapper::RowIt RowIt; + typedef LPSolver::ColIt ColIt; + typedef LPSolver::RowIt RowIt; typedef typename Graph::template EdgeMap EdgeIndexMap; EdgeIndexMap edge_index_map(g); PrimalMap lp_flow(lp, edge_index_map);