scip_solvingstats.c
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43/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
134 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNRuns", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
161 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNReoptRuns", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
166/** add given number to the number of processed nodes in current run and in all runs, including the focus node
187 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPaddNNodes", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
215 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNodes", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
242 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNTotalNodes", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
269 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNFeasibleLeaves", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
296 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNInfeasibleLeaves", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
323 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNObjlimLeaves", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
350 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNRootboundChgs", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
377 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNRootboundChgsRun", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
404 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNDelayedCutoffs", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
431 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLPs", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
438 * @return the total number of iterations used so far in primal and dual simplex and barrier algorithm
450 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
476 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNZs", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
481/** gets total number of iterations used so far in primal and dual simplex and barrier algorithm for the root node
483 * @return the total number of iterations used so far in primal and dual simplex and barrier algorithm for the root node
494 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNRootLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
499/** gets total number of iterations used in primal and dual simplex and barrier algorithm for the first LP at the root
502 * @return the total number of iterations used in primal and dual simplex and barrier algorithm for the first root LP
513 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNRootFirstLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
531 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNPrimalLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
549 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNPrimalLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
567 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNDualLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
585 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNDualLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
603 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNBarrierLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
621 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNBarrierLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
639 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNResolveLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
644/** gets total number of simplex iterations used so far in primal and dual simplex calls where an advanced start basis
647 * @return the total number of simplex iterations used so far in primal and dual simplex calls where an advanced start
659 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNResolveLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
664/** gets total number of primal LPs solved so far that were resolved from an advanced start basis
666 * @return the total number of primal LPs solved so far that were resolved from an advanced start basis
677 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNPrimalResolveLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
682/** gets total number of simplex iterations used so far in primal simplex calls where an advanced start basis
685 * @return the total number of simplex iterations used so far in primal simplex calls where an advanced start
697 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNPrimalResolveLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
704 * @return the total number of dual LPs solved so far that were resolved from an advanced start basis
715 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNDualResolveLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
720/** gets total number of simplex iterations used so far in dual simplex calls where an advanced start basis
723 * @return the total number of simplex iterations used so far in dual simplex calls where an advanced start
735 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNDualResolveLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
753 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNodeLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
771 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNodeZeroIterationLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
789 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNodeLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
807 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNodeInitLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
825 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNNodeInitLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
843 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNDivingLPs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
861 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNDivingLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
866/** gets total number of times, strong branching was called (each call represents solving two LPs)
868 * @return the total number of times, strong branching was called (each call represents solving two LPs)
879 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNStrongbranchs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
897 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNStrongbranchLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
902/** gets total number of times, strong branching was called at the root node (each call represents solving two LPs)
904 * @return the total number of times, strong branching was called at the root node (each call represents solving two LPs)
915 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNRootStrongbranchs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
922 * @return the total number of simplex iterations used so far in strong branching at the root node
933 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNRootStrongbranchLPIterations", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
949 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNPriceRounds", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
967 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNPricevars", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
985 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNPricevarsFound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1003 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNPricevarsApplied", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1019 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNSepaRounds", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1024/** get total number of cuts added to the sepastore so far; this includes global cuts from the cut pool as often as they are separated
1037 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNCutsFound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1055 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNCutsFoundRound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1073 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNCutsApplied", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1078/** get total number of constraints found in conflict analysis (conflict, reconvergence constraints, and dual proofs)
1080 * @return the total number of constraints found in conflict analysis (conflict, reconvergence constraints, and dual proofs)
1097 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNConflictConssFound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1132 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNConflictConssFoundNode", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1156 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNConflictConssApplied", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1180 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNConflictDualproofsApplied", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1186/** gets maximal depth of all processed nodes in current branch and bound run (excluding probing nodes)
1188 * @return the maximal depth of all processed nodes in current branch and bound run (excluding probing nodes)
1205 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetMaxDepth", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1229 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetMaxTotalDepth", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1234/** gets total number of backtracks, i.e. number of times, the new node was selected from the leaves queue
1236 * @return the total number of backtracks, i.e. number of times, the new node was selected from the leaves queue
1253 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNBacktracks", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1273 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNActiveConss", FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1290 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNEnabledConss", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1308 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgDualbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1327 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgLowerbound", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1351 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetDualbound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1357 return SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPgetLowerbound(scip));
1378 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLowerbound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1382 else if( SCIPgetStatus(scip) == SCIP_STATUS_INFORUNBD || SCIPgetStatus(scip) == SCIP_STATUS_UNBOUNDED )
1384 /* in case we could not prove whether the problem is unbounded or infeasible, we want to terminate with lower
1385 * bound = -inf instead of lower bound = upper bound = +inf also in case we prove that the problem is unbounded,
1386 * it seems to make sense to return with lower bound = -inf, since -infinity is the only valid lower bound
1392 /* SCIPtreeGetLowerbound() should return +inf in the case of infeasibility, but when infeasibility is detected
1401 /* it may happen that the remaining tree is empty or all open nodes have a lower bound above the cutoff bound, but
1402 * have not yet been cut off, e.g., when the user calls SCIPgetDualbound() in some event handler; in this case,
1430 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetDualboundRoot", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1435 return SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, scip->stat->rootlowerbound);
1454 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetLowerboundRoot", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1478 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetFirstLPDualboundRoot", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1483/** gets lower (dual) bound in transformed problem obtained by the first LP solve at the root node
1485 * @return the lower (dual) bound in transformed problem obtained by first LP solve at the root node
1499 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetFirstLPLowerboundRoot", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1504 return SCIPprobInternObjval(scip->transprob, scip->origprob, scip->set, scip->stat->firstlpdualbound);
1515/** gets global primal bound (objective value of best solution or user objective limit) for the original problem
1517 * @return the global primal bound (objective value of best solution or user objective limit) for the original problem
1534 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetPrimalbound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1536 return SCIPprobExternObjval(scip->transprob, scip->origprob, scip->set, SCIPgetUpperbound(scip));
1539/** gets global upper (primal) bound in transformed problem (objective value of best solution or user objective limit)
1541 * @return the global upper (primal) bound in transformed problem (objective value of best solution or user objective limit)
1558 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetUpperbound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1566/** gets global cutoff bound in transformed problem: a sub problem with lower bound larger than the cutoff
1567 * cannot contain a better feasible solution; usually, this bound is equal to the upper bound, but if the
1568 * objective value is always integral, the cutoff bound is (nearly) one less than the upper bound;
1569 * additionally, due to objective function domain propagation, the cutoff bound can be further reduced
1588 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetCutoffbound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1595 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
1598 * @note using this method in the solving stage can lead to an erroneous SCIP solving status; in particular,
1599 * if a solution not respecting the cutoff bound was found before installing a cutoff bound which
1617 SCIP_CALL( SCIPcheckStage(scip, "SCIPupdateCutoffbound", FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE) );
1621 SCIP_CALL( SCIPprimalSetCutoffbound(scip->primal, scip->mem->probmem, scip->set, scip->stat, scip->eventfilter,
1622 scip->eventqueue, scip->transprob, scip->origprob, scip->tree, scip->reopt, scip->lp, cutoffbound, FALSE) );
1628/** returns whether the current primal bound is justified with a feasible primal solution; if not, the primal bound
1631 * @return TRUE if the current primal bound is justified with a feasible primal solution, otherwise FALSE
1648 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPisPrimalboundSol", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1653/** gets current gap |(primalbound - dualbound)/min(|primalbound|,|dualbound|)| if both bounds have same sign,
1656 * @return the current gap |(primalbound - dualbound)/min(|primalbound|,|dualbound|)| if both bounds have same sign,
1671 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetGap", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1673 /* in case we could not prove whether the problem is unbounded or infeasible, we want to terminate with gap = +inf;
1678 else if( SCIPgetStatus(scip) == SCIP_STATUS_INFEASIBLE || SCIPgetStatus(scip) == SCIP_STATUS_UNBOUNDED )
1681 /* the lowerbound is infinity, but SCIP may not have updated the status; in this case, the problem was already solved
1687 return SCIPcomputeGap(SCIPsetEpsilon(scip->set), SCIPsetInfinity(scip->set), SCIPgetPrimalbound(scip), SCIPgetDualbound(scip));
1690/** gets current gap |(upperbound - lowerbound)/min(|upperbound|,|lowerbound|)| in transformed problem if both bounds
1693 * @return current gap |(upperbound - lowerbound)/min(|upperbound|,|lowerbound|)| in transformed problem if both bounds
1705 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetTransGap", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1707 /* in case we could not prove whether the problem is unbounded or infeasible, we want to terminate with gap = +inf;
1712 else if( SCIPgetStatus(scip) == SCIP_STATUS_INFEASIBLE || SCIPgetStatus(scip) == SCIP_STATUS_UNBOUNDED )
1715 /* the lowerbound is infinity, but SCIP may not have updated the status; in this case, the problem was already solved
1721 return SCIPcomputeGap(SCIPsetEpsilon(scip->set), SCIPsetInfinity(scip->set), SCIPgetUpperbound(scip), SCIPgetLowerbound(scip));
1743 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNSolsFound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1773 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNLimSolsFound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1778/** gets number of feasible primal solutions found so far, that improved the primal bound at the time they were found
1780 * @return the number of feasible primal solutions found so far, that improved the primal bound at the time they were found
1797 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetNBestSolsFound", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE) );
1815 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgPseudocost", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1835 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgPseudocostCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1853 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgPseudocostCount", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1862 * @return the average number of pseudo cost updates for the given direction over all variables,
1874 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgPseudocostCountCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1880/** gets the average pseudo cost score value over all variables, assuming a fractionality of 0.5
1882 * @return the average pseudo cost score value over all variables, assuming a fractionality of 0.5
1895 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgPseudocostScore", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1920 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetPseudocostVariance", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1945 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetPseudocostCount", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1952/** gets the average pseudo cost score value over all variables, assuming a fractionality of 0.5,
1955 * @return the average pseudo cost score value over all variables, assuming a fractionality of 0.5,
1969 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgPseudocostScoreCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1993 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgConflictScore", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
1996 conflictscoredown = SCIPhistoryGetVSIDS(scip->stat->glbhistory, SCIP_BRANCHDIR_DOWNWARDS) / scale;
2002/** gets the average conflict score value over all variables, only using the conflict score information of the current run
2004 * @return the average conflict score value over all variables, only using the conflict score information of the current run
2018 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgConflictScoreCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2021 conflictscoredown = SCIPhistoryGetVSIDS(scip->stat->glbhistorycrun, SCIP_BRANCHDIR_DOWNWARDS) / scale;
2022 conflictscoreup = SCIPhistoryGetVSIDS(scip->stat->glbhistorycrun, SCIP_BRANCHDIR_UPWARDS) / scale;
2042 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgConflictlengthScore", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2044 conflictlengthdown = SCIPhistoryGetAvgConflictlength(scip->stat->glbhistory, SCIP_BRANCHDIR_DOWNWARDS);
2045 conflictlengthup = SCIPhistoryGetAvgConflictlength(scip->stat->glbhistory, SCIP_BRANCHDIR_UPWARDS);
2050/** gets the average conflictlength score value over all variables, only using the conflictlength information of the
2053 * @return the average conflictlength score value over all variables, only using the conflictlength information of the
2067 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgConflictlengthScoreCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2069 conflictlengthdown = SCIPhistoryGetAvgConflictlength(scip->stat->glbhistorycrun, SCIP_BRANCHDIR_DOWNWARDS);
2070 conflictlengthup = SCIPhistoryGetAvgConflictlength(scip->stat->glbhistorycrun, SCIP_BRANCHDIR_UPWARDS);
2075/** returns the average number of inferences found after branching in given direction over all variables
2077 * @return the average number of inferences found after branching in given direction over all variables
2088 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgInferences", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2093/** returns the average number of inferences found after branching in given direction over all variables,
2096 * @return the average number of inferences found after branching in given direction over all variables,
2108 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgInferencesCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2128 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgInferenceScore", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2130 inferencesdown = SCIPhistoryGetAvgInferences(scip->stat->glbhistory, SCIP_BRANCHDIR_DOWNWARDS);
2136/** gets the average inference score value over all variables, only using the inference information of the
2139 * @return the average inference score value over all variables, only using the inference information of the
2153 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgInferenceScoreCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2155 inferencesdown = SCIPhistoryGetAvgInferences(scip->stat->glbhistorycrun, SCIP_BRANCHDIR_DOWNWARDS);
2156 inferencesup = SCIPhistoryGetAvgInferences(scip->stat->glbhistorycrun, SCIP_BRANCHDIR_UPWARDS);
2161/** returns the average number of cutoffs found after branching in given direction over all variables
2163 * @return the average number of cutoffs found after branching in given direction over all variables
2174 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgCutoffs", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2179/** returns the average number of cutoffs found after branching in given direction over all variables,
2182 * @return the average number of cutoffs found after branching in given direction over all variables,
2194 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgCutoffsCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2214 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgCutoffScore", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2222/** gets the average cutoff score value over all variables, only using the cutoff score information of the current run
2224 * @return the average cutoff score value over all variables, only using the cutoff score information of the current run
2237 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgCutoffScoreCurrentRun", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2256 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPincAvgGMIeff", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2273 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetAvgGMIeff", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2292/* TODO: SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPgetDeterministicTime", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) ); */
2325 retcode = SCIPreaderWrite(scip->set->readers[i], prob, scip->set, file, extension, genericnames, &result);
2327 retcode = SCIPreaderWrite(scip->set->readers[i], prob, scip->set, file, "cip", genericnames, &result);
2354 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2380 SCIP_CALL( SCIPcheckStage(scip, "SCIPprintOrigProblem", FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2400 * @return \ref SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See \ref
2424 SCIP_CALL( SCIPcheckStage(scip, "SCIPprintTransProblem", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE) );
2444 * @note If limits have been changed between the solution and the call to this function, the status is recomputed and
2466 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintStatusStatistics", TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2493 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintOrigProblemStatistics", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2519 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintTransProblemStatistics", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2523 SCIPmessageFPrintInfo(scip->messagehdlr, file, " Nonzeros : %" SCIP_LONGINT_FORMAT " constraint, %" SCIP_LONGINT_FORMAT " clique table\n",
2548 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintPresolverStatistics", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2550 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Presolvers : ExecTime SetupTime Calls FixedVars AggrVars ChgTypes ChgBounds AddHoles DelCons AddCons ChgSides ChgCoefs\n");
2561 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f %10.2f %6d %10d %10d %10d %10d %10d %10d %10d %10d %10d\n",
2586 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f %10.2f %6d %10d %10d %10d %10d %10d %10d %10d %10d %10d\n",
2624 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f %10.2f %6d %10d %10d %10d %10d %10d %10d %10d %10d %10d\n",
2666 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintConstraintStatistics", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2668 /* Add maximal number of constraints of the same type? So far this information is not added because of lack of space. */
2669 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Constraints : Number MaxNumber #Separate #Propagate #EnfoLP #EnfoRelax #EnfoPS #Check #ResProp Cutoffs DomReds Cuts Applied Conss Children\n");
2683 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10d%c%10d %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
2725 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintConstraintTimingStatistics", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2727 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Constraint Timings : TotalTime SetupTime Separate Propagate EnfoLP EnfoPS EnfoRelax Check ResProp SB-Prop\n");
2750 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f %10.2f %10.2f %10.2f %10.2f %10.2f %10.2f %10.2f %10.2f %10.2f\n",
2786 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintPropagatorStatistics", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2788 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Propagators : #Propagate #ResProp Cutoffs DomReds\n");
2798 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17.17s: %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
2806 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Propagator Timings : TotalTime SetupTime Presolve Propagate ResProp SB-Prop\n");
2850 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintConflictStatistics", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
2876 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Conflict Analysis : Time Calls Success DomReds Conflicts Literals Reconvs ReconvLits Dualrays Nonzeros LP Iters (pool size: [%s,%s])\n", initstoresize, maxstoresize);
2877 SCIPmessageFPrintInfo(scip->messagehdlr, file, " propagation : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " - %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT " %10.1f - - -\n",
2889 SCIPmessageFPrintInfo(scip->messagehdlr, file, " infeasible LP : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " - %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT "\n",
2906 SCIPmessageFPrintInfo(scip->messagehdlr, file, " bound exceed. LP : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " - %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT "\n",
2923 SCIPmessageFPrintInfo(scip->messagehdlr, file, " strong branching : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " - %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT " %10.1f - - %10" SCIP_LONGINT_FORMAT "\n",
2936 SCIPmessageFPrintInfo(scip->messagehdlr, file, " pseudo solution : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " - %10" SCIP_LONGINT_FORMAT " %10.1f %10" SCIP_LONGINT_FORMAT " %10.1f - - -\n",
2948 SCIPmessageFPrintInfo(scip->messagehdlr, file, " applied globally : %10.2f - - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.1f - - %10" SCIP_LONGINT_FORMAT " - -\n",
2955 SCIPconflictGetNDualproofsInfGlobal(scip->conflict) + SCIPconflictGetNDualproofsBndGlobal(scip->conflict));
2956 SCIPmessageFPrintInfo(scip->messagehdlr, file, " applied locally : - - - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.1f - - %10" SCIP_LONGINT_FORMAT " - -\n",
2962 SCIPconflictGetNDualproofsInfLocal(scip->conflict) + SCIPconflictGetNDualproofsBndLocal(scip->conflict));
2974 * - ViaPoolApp: The number of cuts that entered the sepastore from the cutpool that were applied to the LP.
2975 * - DirectApp: The number of cuts that entered the sepastore directly and were applied to the LP.
2977 * The number of cuts ViaPoolAdd + Directly should be equal to the number of cuts Filtered + Forced + Selected in the
2980 * @note The following edge case may lead to over or undercounting of statistics: When SCIPapplyCutsProbing() is
2981 * called, cuts are counted for the cut selection statistics, but not for the separator statistics. This
2998 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintSeparatorStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3000 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Separators : ExecTime SetupTime Calls RootCalls Cutoffs DomReds FoundCuts ViaPoolAdd DirectAdd Applied ViaPoolApp DirectApp Conss\n");
3001 SCIPmessageFPrintInfo(scip->messagehdlr, file, " cut pool : %10.2f - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " - - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " - - - - - (maximal pool size: %10" SCIP_LONGINT_FORMAT")\n",
3022 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17.17s: %10.2f %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3053 SCIPmessageFPrintInfo(scip->messagehdlr, file, " > %-15.17s: %10s %10s %10s %10s %10s %10s %10s %10" SCIP_LONGINT_FORMAT" %10" SCIP_LONGINT_FORMAT" %10" SCIP_LONGINT_FORMAT" %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10s\n",
3085 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintCutselectorStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3087 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Cutselectors : ExecTime SetupTime Calls RootCalls Selected Forced Filtered RootSelec RootForc RootFilt \n");
3094 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17.17s: %10.2f %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3100 SCIPcutselGetNRootCuts(scip->set->cutsels[i]) + SCIPcutselGetNLocalCuts(scip->set->cutsels[i]),
3101 SCIPcutselGetNRootForcedCuts(scip->set->cutsels[i]) + SCIPcutselGetNLocalForcedCuts(scip->set->cutsels[i]),
3102 SCIPcutselGetNRootCutsFiltered(scip->set->cutsels[i]) + SCIPcutselGetNLocalCutsFiltered(scip->set->cutsels[i]),
3126 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintPricerStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3164 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintBranchruleStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3166 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Branching Rules : ExecTime SetupTime BranchLP BranchExt BranchPS Cutoffs DomReds Cuts Conss Children\n");
3173 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17.17s: %10.2f %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3209 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintHeuristicStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3211 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Primal Heuristics : ExecTime SetupTime Calls Found Best\n");
3212 SCIPmessageFPrintInfo(scip->messagehdlr, file, " LP solutions : %10.2f - - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3215 SCIPmessageFPrintInfo(scip->messagehdlr, file, " relax solutions : %10.2f - - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3218 SCIPmessageFPrintInfo(scip->messagehdlr, file, " pseudo solutions : %10.2f - - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3221 SCIPmessageFPrintInfo(scip->messagehdlr, file, " strong branching : %10.2f - - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3230 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17.17s: %10.2f %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3242 SCIPmessageFPrintInfo(scip->messagehdlr, file, " other solutions : - - - %10" SCIP_LONGINT_FORMAT " -\n",
3248 SCIP_DIVECONTEXT divecontexts[] = {SCIP_DIVECONTEXT_SINGLE, SCIP_DIVECONTEXT_ADAPTIVE, SCIP_DIVECONTEXT_SCHEDULER};
3258 "Diving %-12s: Calls Nodes LP Iters Backtracks Conflicts MinDepth MaxDepth AvgDepth RoundSols NLeafSols MinSolDpt MaxSolDpt AvgSolDpt\n", "(single)");
3263 "Diving %-12s: Calls Nodes LP Iters Backtracks Conflicts MinDepth MaxDepth AvgDepth RoundSols NLeafSols MinSolDpt MaxSolDpt AvgSolDpt\n",
3279 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10d %10d %10.1f %10" SCIP_LONGINT_FORMAT,
3287 SCIPdivesetGetNSols(diveset, divecontext) - SCIPdivesetGetNSolutionCalls(diveset, divecontext));
3326 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintCompressionStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3332 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Tree Compressions : ExecTime SetupTime Calls Found\n");
3339 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17.17s: %10.2f %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3363 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintLPStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3365 SCIPmessageFPrintInfo(scip->messagehdlr, file, "LP : Time Calls Iterations Iter/call Iter/sec Time-0-It Calls-0-It ItLimit\n");
3367 SCIPmessageFPrintInfo(scip->messagehdlr, file, " primal LP : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f",
3371 scip->stat->nprimallps > 0 ? (SCIP_Real)scip->stat->nprimallpiterations/(SCIP_Real)scip->stat->nprimallps : 0.0);
3373 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", (SCIP_Real)scip->stat->nprimallpiterations/SCIPclockGetTime(scip->stat->primallptime));
3380 SCIPmessageFPrintInfo(scip->messagehdlr, file, " dual LP : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f",
3384 scip->stat->nduallps > 0 ? (SCIP_Real)scip->stat->nduallpiterations/(SCIP_Real)scip->stat->nduallps : 0.0);
3386 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", (SCIP_Real)scip->stat->nduallpiterations/SCIPclockGetTime(scip->stat->duallptime));
3393 SCIPmessageFPrintInfo(scip->messagehdlr, file, " lex dual LP : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f",
3397 scip->stat->nlexduallps > 0 ? (SCIP_Real)scip->stat->nlexduallpiterations/(SCIP_Real)scip->stat->nlexduallps : 0.0);
3399 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f\n", (SCIP_Real)scip->stat->nlexduallpiterations/SCIPclockGetTime(scip->stat->lexduallptime));
3403 SCIPmessageFPrintInfo(scip->messagehdlr, file, " barrier LP : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f",
3407 scip->stat->nbarrierlps > 0 ? (SCIP_Real)scip->stat->nbarrierlpiterations/(SCIP_Real)scip->stat->nbarrierlps : 0.0);
3409 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", (SCIP_Real)scip->stat->nbarrierlpiterations/SCIPclockGetTime(scip->stat->barrierlptime));
3416 SCIPmessageFPrintInfo(scip->messagehdlr, file, " resolve instable : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f",
3420 scip->stat->nresolveinstablelps > 0 ? (SCIP_Real)scip->stat->nresolveinstablelpiters/(SCIP_Real)scip->stat->nresolveinstablelps : 0.0);
3422 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f\n", (SCIP_Real)scip->stat->nresolveinstablelpiters/SCIPclockGetTime(scip->stat->resolveinstablelptime));
3426 SCIPmessageFPrintInfo(scip->messagehdlr, file, " diving/probing LP: %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f",
3430 scip->stat->ndivinglps > 0 ? (SCIP_Real)scip->stat->ndivinglpiterations/(SCIP_Real)scip->stat->ndivinglps : 0.0);
3432 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f\n", (SCIP_Real)scip->stat->ndivinglpiterations/SCIPclockGetTime(scip->stat->divinglptime));
3436 SCIPmessageFPrintInfo(scip->messagehdlr, file, " strong branching : %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f",
3440 scip->stat->nstrongbranchs > 0 ? (SCIP_Real)scip->stat->nsblpiterations/(SCIP_Real)scip->stat->nstrongbranchs : 0.0);
3442 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", (SCIP_Real)scip->stat->nsblpiterations/SCIPclockGetTime(scip->stat->strongbranchtime));
3445 SCIPmessageFPrintInfo(scip->messagehdlr, file, " - - %10" SCIP_LONGINT_FORMAT "\n", scip->stat->nsbtimesiterlimhit);
3447 SCIPmessageFPrintInfo(scip->messagehdlr, file, " (at root node) : - %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f -\n",
3453 SCIPmessageFPrintInfo(scip->messagehdlr, file, " conflict analysis: %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f",
3457 scip->stat->nconflictlps > 0 ? (SCIP_Real)scip->stat->nconflictlpiterations/(SCIP_Real)scip->stat->nconflictlps : 0.0);
3459 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f\n", (SCIP_Real)scip->stat->nconflictlpiterations/SCIPclockGetTime(scip->stat->conflictlptime));
3483 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintNLPStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3490 SCIPmessageFPrintInfo(scip->messagehdlr, file, " solve time : %10.2f (%" SCIP_LONGINT_FORMAT " calls)\n",
3494 SCIP_CALL_ABORT( SCIPgetNLPNlRowsStat(scip, &nnlrowlinear, &nnlrowconvexineq, &nnlrownonconvexineq, &nnlrownonlineareq) );
3495 SCIPmessageFPrintInfo(scip->messagehdlr, file, " convexity : %10s (%d linear rows, %d convex ineq., %d nonconvex ineq., %d nonlinear eq. or two-sided ineq.)\n",
3516 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintRelaxatorStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3521 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Relaxators : Time Calls Cutoffs ImprBounds ImprTime ReducedDom Separated AddedConss\n");
3528 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17.17s: %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT "\n",
3557 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintTreeStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3562 " nodes : %10" SCIP_LONGINT_FORMAT " (%" SCIP_LONGINT_FORMAT " internal, %" SCIP_LONGINT_FORMAT " leaves)\n",
3563 scip->stat->nnodes, scip->stat->ninternalnodes, scip->stat->nnodes - scip->stat->ninternalnodes );
3564 SCIPmessageFPrintInfo(scip->messagehdlr, file, " feasible leaves : %10" SCIP_LONGINT_FORMAT "\n", scip->stat->nfeasleaves);
3565 SCIPmessageFPrintInfo(scip->messagehdlr, file, " infeas. leaves : %10" SCIP_LONGINT_FORMAT "\n", scip->stat->ninfeasleaves);
3566 SCIPmessageFPrintInfo(scip->messagehdlr, file, " objective leaves : %10" SCIP_LONGINT_FORMAT "\n", scip->stat->nobjleaves);
3568 " nodes (total) : %10" SCIP_LONGINT_FORMAT " (%" SCIP_LONGINT_FORMAT " internal, %" SCIP_LONGINT_FORMAT " leaves)\n",
3569 scip->stat->ntotalnodes, scip->stat->ntotalinternalnodes, scip->stat->ntotalnodes - scip->stat->ntotalinternalnodes);
3570 SCIPmessageFPrintInfo(scip->messagehdlr, file, " nodes left : %10d\n", SCIPtreeGetNNodes(scip->tree));
3572 SCIPmessageFPrintInfo(scip->messagehdlr, file, " max depth (total): %10d\n", scip->stat->maxtotaldepth);
3573 SCIPmessageFPrintInfo(scip->messagehdlr, file, " backtracks : %10" SCIP_LONGINT_FORMAT " (%.1f%%)\n", scip->stat->nbacktracks,
3574 scip->stat->nnodes > 0 ? 100.0 * (SCIP_Real)scip->stat->nbacktracks / (SCIP_Real)scip->stat->nnodes : 0.0);
3575 SCIPmessageFPrintInfo(scip->messagehdlr, file, " early backtracks : %10" SCIP_LONGINT_FORMAT " (%.1f%%)\n", scip->stat->nearlybacktracks,
3576 scip->stat->nbacktracks > 0 ? 100.0 * (SCIP_Real)scip->stat->nearlybacktracks / (SCIP_Real)scip->stat->nbacktracks : 0.0);
3577 SCIPmessageFPrintInfo(scip->messagehdlr, file, " nodes exc. ref. : %10" SCIP_LONGINT_FORMAT " (%.1f%%)\n", scip->stat->nnodesaboverefbound,
3578 scip->stat->nnodes > 0 ? 100.0 * (SCIP_Real)scip->stat->nnodesaboverefbound / (SCIP_Real)scip->stat->nnodes : 0.0);
3580 SCIPmessageFPrintInfo(scip->messagehdlr, file, " delayed cutoffs : %10" SCIP_LONGINT_FORMAT "\n", scip->stat->ndelayedcutoffs);
3581 SCIPmessageFPrintInfo(scip->messagehdlr, file, " repropagations : %10" SCIP_LONGINT_FORMAT " (%" SCIP_LONGINT_FORMAT " domain reductions, %" SCIP_LONGINT_FORMAT " cutoffs)\n",
3585 ? (SCIP_Real)(scip->stat->nactivatednodes + scip->stat->ndeactivatednodes) / (SCIP_Real)scip->stat->nnodes : 0.0);
3586 SCIPmessageFPrintInfo(scip->messagehdlr, file, " switching time : %10.2f\n", SCIPclockGetTime(scip->stat->nodeactivationtime));
3614 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintSolutionStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3620 /* We output that the objective limit has been reached if the problem has been solved, no solution respecting the
3621 * objective limit has been found (nlimsolsfound == 0) and the primal bound is finite. Note that it still might be
3622 * that the original problem is infeasible, even without the objective limit, i.e., we cannot be sure that we
3630 (void) SCIPsnprintf(limsolstring, SCIP_MAXSTRLEN, ", %" SCIP_LONGINT_FORMAT " respecting the objective limit", scip->primal->nlimsolsfound);
3635 SCIPmessageFPrintInfo(scip->messagehdlr, file, " Solutions found : %10" SCIP_LONGINT_FORMAT " (%" SCIP_LONGINT_FORMAT " improvements%s)\n",
3653 SCIPmessageFPrintInfo(scip->messagehdlr, file, " Primal Bound : infeasible (objective limit reached)\n");
3672 SCIPmessageFPrintInfo(scip->messagehdlr, file, " Primal Bound : %+21.14e (objective limit)\n", primalbound);
3688 SCIPmessageFPrintInfo(scip->messagehdlr, file, " First Solution : %+21.14e", firstprimalbound);
3690 SCIPmessageFPrintInfo(scip->messagehdlr, file, " (in run %d, after %" SCIP_LONGINT_FORMAT " nodes, %.2f seconds, depth %d, found by <%s>)\n",
3702 SCIPmessageFPrintInfo(scip->messagehdlr, file, " Gap First Sol. : %10.2f %%\n", 100.0 * scip->stat->firstsolgap);
3707 SCIPmessageFPrintInfo(scip->messagehdlr, file, " Gap Last Sol. : %10.2f %%\n", 100.0 * scip->stat->lastsolgap);
3711 SCIPmessageFPrintInfo(scip->messagehdlr, file, " (in run %d, after %" SCIP_LONGINT_FORMAT " nodes, %.2f seconds, depth %d, found by <%s>)\n",
3756 integrals[0] = SCIPstatGetPrimalDualIntegral(scip->stat, scip->set, scip->transprob, scip->origprob, TRUE);
3760 integrals[1] = SCIPstatGetPrimalReferenceIntegral(scip->stat, scip->set, scip->transprob, scip->origprob, FALSE);
3761 integrals[2] = SCIPstatGetDualReferenceIntegral(scip->stat, scip->set, scip->transprob, scip->origprob, FALSE);
3782 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17s: %10.2f %10.2f\n", names[s], integrals[s], avg);
3813 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintConcsolverStatistics", FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3824 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Concurrent Solvers : SolvingTime SyncTime Nodes LP Iters SolsShared SolsRecvd TighterBnds TighterIntBnds\n");
3827 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %c%-16s: %11.2f %11.2f %11" SCIP_LONGINT_FORMAT " %11" SCIP_LONGINT_FORMAT "%11" SCIP_LONGINT_FORMAT " %11" SCIP_LONGINT_FORMAT " %11" SCIP_LONGINT_FORMAT " %14" SCIP_LONGINT_FORMAT "\n",
3856 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintBendersStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3864 SCIPmessageFPrintInfo(scip->messagehdlr, file, "Benders Decomp : ExecTime SetupTime Calls Found Transfer StrCalls StrFails StrCuts\n");
3873 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-17.17s: %10.2f %10.2f %10d %10d %10d %10d %10d %10d\n",
3889 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %-15.17s: %10.2f %10.2f %10" SCIP_LONGINT_FORMAT " %10" SCIP_LONGINT_FORMAT " -\n",
3920 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintRootStatistics", FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
3935 SCIPmessageFPrintInfo(scip->messagehdlr, file, " First LP value : %+21.14e\n", firstdualboundroot);
3937 SCIPmessageFPrintInfo(scip->messagehdlr, file, " First LP Iters : %10" SCIP_LONGINT_FORMAT " (%.2f Iter/sec)\n",
3941 SCIPmessageFPrintInfo(scip->messagehdlr, file, " First LP Iters : %10" SCIP_LONGINT_FORMAT "\n", scip->stat->nrootfirstlpiterations);
3947 SCIPmessageFPrintInfo(scip->messagehdlr, file, " Final Dual Bound : %+21.14e\n", dualboundroot);
3948 SCIPmessageFPrintInfo(scip->messagehdlr, file, " Final Root Iters : %10" SCIP_LONGINT_FORMAT "\n", scip->stat->nrootlpiterations);
3953 SCIPmessageFPrintInfo(scip->messagehdlr, file, "%+21.14e\n", SCIPretransformObj(scip, scip->stat->rootlpbestestimate));
3981 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintTimingStatistics", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
4004 SCIPmessageFPrintInfo(scip->messagehdlr, file, " presolving : %10.2f (included in solving)\n", SCIPclockGetTime(scip->stat->presolvingtime));
4005 SCIPmessageFPrintInfo(scip->messagehdlr, file, " reading : %10.2f%s\n", readingtime, scip->set->time_reading ? " (included in solving)" : "");
4013 SCIPmessageFPrintInfo(scip->messagehdlr, file, " copying : %10.2f (%d #copies) (minimal %.2f, maximal %.2f, average %.2f)\n",
4014 copytime, scip->stat->ncopies, scip->stat->mincopytime, scip->stat->maxcopytime, copytime / scip->stat->ncopies);
4017 SCIPmessageFPrintInfo(scip->messagehdlr, file, " copying : %10.2f %s\n", 0.0, "(0 times copied the problem)");
4044 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintExpressionHandlerStatistics", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
4059 "#IntEval", "IntEvalTi", "#RevProp", "RevPropTi", "DomReds", "Cutoffs", "#Estimate", "EstimTime", "Branching", "#Simplify", "SimplifyTi", "Simplified");
4064 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10lld", SCIPexprhdlrGetNIntevalCalls(exprhdlr));
4065 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", SCIPexprhdlrGetIntevalTime(exprhdlr));
4066 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10lld", SCIPexprhdlrGetNReversepropCalls(exprhdlr));
4067 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", SCIPexprhdlrGetReversepropTime(exprhdlr));
4068 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10lld", SCIPexprhdlrGetNDomainReductions(exprhdlr));
4070 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10lld", SCIPexprhdlrGetNEstimateCalls(exprhdlr));
4071 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", SCIPexprhdlrGetEstimateTime(exprhdlr));
4072 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10lld", SCIPexprhdlrGetNBranchings(exprhdlr));
4073 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10lld", SCIPexprhdlrGetNSimplifyCalls(exprhdlr));
4074 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", SCIPexprhdlrGetSimplifyTime(exprhdlr));
4075 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10lld", SCIPexprhdlrGetNSimplifications(exprhdlr));
4103 SCIP_CALL_ABORT( SCIPcheckStage(scip, "SCIPprintNLPIStatistics", FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE) );
4129 "#Okay", "#TimeLimit", "#IterLimit", "#LObjLimit", "#Interrupt", "#NumError", "#EvalError", "#OutOfMem", "#LicenseEr", "#OtherTerm",
4146 SCIPmessageFPrintInfo(scip->messagehdlr, file, " %10.2f", solvetime > 0.0 ? 100.0 * evaltime / solvetime : 0.0);