bezier.h is no longer in the repository.
3 * This file is a part of LEMON, a generic C++ optimization library
5 * Copyright (C) 2003-2006
6 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
7 * (Egervary Research Group on Combinatorial Optimization, EGRES).
9 * Permission to use, modify and distribute this software is granted
10 * provided that this copyright notice appears in all copies. For
11 * precise terms see the accompanying LICENSE file.
13 * This software is provided "AS IS" with no warranty of any kind,
14 * express or implied, and with no claim as to its suitability for any
20 #include<lemon/lp_cplex.h>
23 ///\brief Implementation of the LEMON-CPLEX lp solver interface.
26 LpCplex::LpCplex() : LpSolverBase() {
28 // env = CPXopenCPLEXdevelop(&status);
29 env = CPXopenCPLEX(&status);
30 lp = CPXcreateprob(env, &status, "LP problem");
38 LpSolverBase &LpCplex::_newLp()
40 //The first approach opens a new environment
41 LpCplex* newlp=new LpCplex();
45 LpSolverBase &LpCplex::_copyLp() {
46 //The first approach opens a new environment
47 LpCplex* newlp=new LpCplex();
48 //The routine CPXcloneprob can be used to create a new CPLEX problem
49 //object and copy all the problem data from an existing problem
50 //object to it. Solution and starting information is not copied.
51 newlp->lp = CPXcloneprob(env, lp, &status);
55 int LpCplex::_addCol()
57 int i = CPXgetnumcols(env, lp);
59 lb[0]=-INF;//-CPX_INFBOUND;
60 ub[0]=INF;//CPX_INFBOUND;
61 status = CPXnewcols(env, lp, 1, NULL, lb, ub, NULL, NULL);
66 int LpCplex::_addRow()
68 //We want a row that is not constrained
70 sense[0]='L';//<= constraint
73 int i = CPXgetnumrows(env, lp);
74 status = CPXnewrows(env, lp, 1, rhs, sense, NULL, NULL);
79 void LpCplex::_eraseCol(int i) {
80 CPXdelcols(env, lp, i, i);
83 void LpCplex::_eraseRow(int i) {
84 CPXdelrows(env, lp, i, i);
87 void LpCplex::_getColName(int col, std::string &name)
91 CPXgetcolname(env, lp, 0, 0, 0, &storespace, col, col);
97 ///\bug return code unchecked for error
98 CPXgetcolname(env, lp, names, buf, storespace, &dontcare, col, col);
102 void LpCplex::_setColName(int col, const std::string &name)
106 names[0] = const_cast<char*>(name.c_str());
107 ///\bug return code unchecked for error
108 CPXchgcolname(env, lp, 1, &col, names);
111 ///\warning Data at index 0 is ignored in the arrays.
112 void LpCplex::_setRowCoeffs(int i,
115 Value const * values )
117 int rowlist[length+1];
119 for (int k=1;k<=length;++k){
122 status = CPXchgcoeflist(env, lp,
125 const_cast<int * >(indices+1),
126 const_cast<Value * >(values+1));
129 void LpCplex::_setColCoeffs(int i,
132 Value const * values)
134 int collist[length+1];
136 for (int k=1;k<=length;++k){
139 status = CPXchgcoeflist(env, lp,
141 const_cast<int * >(indices+1),
143 const_cast<Value * >(values+1));
146 void LpCplex::_setCoeff(int row, int col, Value value)
148 CPXchgcoef(env, lp, row, col, value);
151 void LpCplex::_setColLowerBound(int i, Value value)
159 status = CPXchgbds(env, lp, 1, indices, lu, bd);
163 void LpCplex::_setColUpperBound(int i, Value value)
171 status = CPXchgbds(env, lp, 1, indices, lu, bd);
174 //This will be easier to implement
175 void LpCplex::_setRowBounds(int i, Value lb, Value ub)
178 if (lb==INF || ub==-INF) {
189 CPXchgsense(env, lp, cnt, indices, sense);
190 CPXchgcoef(env, lp, i, -1, ub);
196 CPXchgsense(env, lp, cnt, indices, sense);
197 CPXchgcoef(env, lp, i, -1, lb);
202 CPXchgsense(env, lp, cnt, indices, sense);
203 CPXchgcoef(env, lp, i, -1, lb);
207 CPXchgsense(env, lp, cnt, indices, sense);
208 CPXchgcoef(env, lp, i, -1, lb);
209 CPXchgcoef(env, lp, i, -2, ub-lb);
215 // void LpCplex::_setRowLowerBound(int i, Value value)
217 // //Not implemented, obsolete
220 // void LpCplex::_setRowUpperBound(int i, Value value)
222 // //Not implemented, obsolete
223 // // //TODO Ezt kell meg megirni
224 // // //type of the problem
226 // // status = CPXgetsense(env, lp, sense, i, i);
228 // // status = CPXgetrhs(env, lp, rhs, i, i);
230 // // switch (sense[0]) {
231 // // case 'L'://<= constraint
233 // // case 'E'://= constraint
235 // // case 'G'://>= constraint
237 // // case 'R'://ranged constraint
243 // // status = CPXchgcoef(env, lp, i, -2, value_rng);
246 void LpCplex::_setObjCoeff(int i, Value obj_coef)
248 CPXchgcoef(env, lp, -1, i, obj_coef);
251 void LpCplex::_clearObj()
253 for (int i=0;i< CPXgetnumcols(env, lp);++i){
254 CPXchgcoef(env, lp, -1, i, 0);
258 // The routine returns zero unless an error occurred during the
259 // optimization. Examples of errors include exhausting available
260 // memory (CPXERR_NO_MEMORY) or encountering invalid data in the
261 // CPLEX problem object (CPXERR_NO_PROBLEM). Exceeding a
262 // user-specified CPLEX limit, or proving the model infeasible or
263 // unbounded, are not considered errors. Note that a zero return
264 // value does not necessarily mean that a solution exists. Use query
265 // routines CPXsolninfo, CPXgetstat, and CPXsolution to obtain
266 // further information about the status of the optimization.
267 LpCplex::SolveExitStatus LpCplex::_solve()
270 status = CPXlpopt(env, lp);
271 //status = CPXprimopt(env, lp);
272 #if CPX_VERSION >= 900
279 switch (CPXgetstat(env, lp))
281 case CPX_STAT_OPTIMAL:
282 case CPX_STAT_INFEASIBLE:
283 case CPX_STAT_UNBOUNDED:
291 //We want to exclude some cases
292 switch (CPXgetstat(env, lp)){
294 case CPX_IT_LIM_FEAS:
295 case CPX_IT_LIM_INFEAS:
296 case CPX_TIME_LIM_FEAS:
297 case CPX_TIME_LIM_INFEAS:
309 LpCplex::Value LpCplex::_getPrimal(int i)
312 CPXgetx(env, lp, &x, i, i);
316 LpCplex::Value LpCplex::_getDual(int i)
319 CPXgetpi(env, lp, &y, i, i);
323 LpCplex::Value LpCplex::_getPrimalValue()
326 //method = CPXgetmethod (env, lp);
327 //printf("CPXgetprobtype %d \n",CPXgetprobtype(env,lp));
328 status = CPXgetobjval(env, lp, &objval);
329 //printf("Objective value: %g \n",objval);
332 bool LpCplex::_isBasicCol(int i) {
333 int cstat[CPXgetnumcols(env, lp)];
334 CPXgetbase(env, lp, cstat, NULL);
335 return (cstat[i]==CPX_BASIC);
338 //7.5-os cplex statusai (Vigyazat: a 9.0-asei masok!)
339 // This table lists the statuses, returned by the CPXgetstat() routine, for solutions to LP problems or mixed integer problems. If no solution exists, the return value is zero.
341 // For Simplex, Barrier
343 // Optimal solution found
345 // Problem infeasible
349 // Objective limit exceeded in Phase II
351 // Iteration limit exceeded in Phase II
352 // 6 CPX_IT_LIM_INFEAS
353 // Iteration limit exceeded in Phase I
354 // 7 CPX_TIME_LIM_FEAS
355 // Time limit exceeded in Phase II
356 // 8 CPX_TIME_LIM_INFEAS
357 // Time limit exceeded in Phase I
358 // 9 CPX_NUM_BEST_FEAS
359 // Problem non-optimal, singularities in Phase II
360 // 10 CPX_NUM_BEST_INFEAS
361 // Problem non-optimal, singularities in Phase I
362 // 11 CPX_OPTIMAL_INFEAS
363 // Optimal solution found, unscaled infeasibilities
365 // Aborted in Phase II
366 // 13 CPX_ABORT_INFEAS
367 // Aborted in Phase I
368 // 14 CPX_ABORT_DUAL_INFEAS
369 // Aborted in barrier, dual infeasible
370 // 15 CPX_ABORT_PRIM_INFEAS
371 // Aborted in barrier, primal infeasible
372 // 16 CPX_ABORT_PRIM_DUAL_INFEAS
373 // Aborted in barrier, primal and dual infeasible
374 // 17 CPX_ABORT_PRIM_DUAL_FEAS
375 // Aborted in barrier, primal and dual feasible
376 // 18 CPX_ABORT_CROSSOVER
377 // Aborted in crossover
379 // Infeasible or unbounded
383 // Ezeket hova tegyem:
384 // ??case CPX_ABORT_DUAL_INFEAS
385 // ??case CPX_ABORT_CROSSOVER
386 // ??case CPX_INForUNBD
389 //Some more interesting stuff:
391 // CPX_PARAM_LPMETHOD 1062 int LPMETHOD
396 // 4 Standard Barrier
398 // Description: Method for linear optimization.
399 // Determines which algorithm is used when CPXlpopt() (or "optimize" in the Interactive Optimizer) is called. Currently the behavior of the "Automatic" setting is that CPLEX simply invokes the dual simplex method, but this capability may be expanded in the future so that CPLEX chooses the method based on problem characteristics
401 void statusSwitch(CPXENVptr env,int& stat){
402 #if CPX_VERSION < 900
404 CPXgetintparam (env,CPX_PARAM_LPMETHOD,&lpmethod);
406 if (stat==CPX_UNBOUNDED){
410 if (stat==CPX_INFEASIBLE)
417 LpCplex::SolutionStatus LpCplex::_getPrimalStatus()
419 int stat = CPXgetstat(env, lp);
420 #if CPX_VERSION >= 900
423 case CPX_STAT_OPTIMAL:
425 case CPX_STAT_UNBOUNDED:
427 case CPX_STAT_INFEASIBLE:
433 statusSwitch(env,stat);
434 //CPXgetstat(env, lp);
435 //printf("A primal status: %d, CPX_OPTIMAL=%d \n",stat,CPX_OPTIMAL);
438 return UNDEFINED; //Undefined
439 case CPX_OPTIMAL://Optimal
441 case CPX_UNBOUNDED://Unbounded
442 return INFEASIBLE;//In case of dual simplex
444 case CPX_INFEASIBLE://Infeasible
445 // case CPX_IT_LIM_INFEAS:
446 // case CPX_TIME_LIM_INFEAS:
447 // case CPX_NUM_BEST_INFEAS:
448 // case CPX_OPTIMAL_INFEAS:
449 // case CPX_ABORT_INFEAS:
450 // case CPX_ABORT_PRIM_INFEAS:
451 // case CPX_ABORT_PRIM_DUAL_INFEAS:
452 return INFINITE;//In case of dual simplex
455 // case CPX_IT_LIM_FEAS:
456 // case CPX_TIME_LIM_FEAS:
457 // case CPX_NUM_BEST_FEAS:
458 // case CPX_ABORT_FEAS:
459 // case CPX_ABORT_PRIM_DUAL_FEAS:
462 return UNDEFINED; //Everything else comes here
468 //9.0-as cplex verzio statusai
469 // CPX_STAT_ABORT_DUAL_OBJ_LIM
470 // CPX_STAT_ABORT_IT_LIM
471 // CPX_STAT_ABORT_OBJ_LIM
472 // CPX_STAT_ABORT_PRIM_OBJ_LIM
473 // CPX_STAT_ABORT_TIME_LIM
474 // CPX_STAT_ABORT_USER
475 // CPX_STAT_FEASIBLE_RELAXED
476 // CPX_STAT_INFEASIBLE
477 // CPX_STAT_INForUNBD
480 // CPX_STAT_OPTIMAL_FACE_UNBOUNDED
481 // CPX_STAT_OPTIMAL_INFEAS
482 // CPX_STAT_OPTIMAL_RELAXED
483 // CPX_STAT_UNBOUNDED
485 LpCplex::SolutionStatus LpCplex::_getDualStatus()
487 int stat = CPXgetstat(env, lp);
488 #if CPX_VERSION >= 900
491 case CPX_STAT_OPTIMAL:
493 case CPX_STAT_UNBOUNDED:
499 statusSwitch(env,stat);
502 return UNDEFINED; //Undefined
503 case CPX_OPTIMAL://Optimal
508 return UNDEFINED; //Everything else comes here
514 LpCplex::ProblemTypes LpCplex::_getProblemType()
516 int stat = CPXgetstat(env, lp);
517 #if CPX_VERSION >= 900
520 case CPX_STAT_OPTIMAL:
521 return PRIMAL_DUAL_FEASIBLE;
522 case CPX_STAT_UNBOUNDED:
523 return PRIMAL_FEASIBLE_DUAL_INFEASIBLE;
529 case CPX_OPTIMAL://Optimal
530 return PRIMAL_DUAL_FEASIBLE;
532 return PRIMAL_FEASIBLE_DUAL_INFEASIBLE;
533 // return PRIMAL_INFEASIBLE_DUAL_FEASIBLE;
534 // return PRIMAL_DUAL_INFEASIBLE;
536 //Seems to be that this is all we can say for sure
545 void LpCplex::_setMax()
547 CPXchgobjsen(env, lp, CPX_MAX);
549 void LpCplex::_setMin()
551 CPXchgobjsen(env, lp, CPX_MIN);