prop_probing.c

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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
/*                                                                           */
/*                  This file is part of the program and library             */
/*         SCIP --- Solving Constraint Integer Programs                      */
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/*  Copyright (c) 2002-2026 Zuse Institute Berlin (ZIB)                      */
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
 
/**@file   prop_probing.c
 * @ingroup DEFPLUGINS_PROP
 * @brief  probing propagator
 * @author Tobias Achterberg
 * @author Matthias Miltenberger
 * @author Michael Winkler
 */
 
/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
 
#include "blockmemshell/memory.h"
#include "scip/prop_probing.h"
#include "scip/pub_message.h"
#include "scip/pub_misc.h"
#include "scip/pub_misc_sort.h"
#include "scip/pub_prop.h"
#include "scip/pub_tree.h"
#include "scip/pub_var.h"
#include "scip/scip_branch.h"
#include "scip/scip_general.h"
#include "scip/scip_lp.h"
#include "scip/scip_mem.h"
#include "scip/scip_message.h"
#include "scip/scip_numerics.h"
#include "scip/scip_param.h"
#include "scip/scip_prob.h"
#include "scip/scip_probing.h"
#include "scip/scip_prop.h"
#include "scip/scip_randnumgen.h"
#include "scip/scip_solvingstats.h"
#include "scip/scip_timing.h"
#include "scip/scip_tree.h"
#include "scip/scip_var.h"
 
 
#define PROP_NAME               "probing"
#define PROP_DESC               "probing propagator on binary variables"
#define PROP_TIMING             SCIP_PROPTIMING_AFTERLPLOOP
#define PROP_PRIORITY           -100000 /**< propagation priority */
#define PROP_FREQ                    -1 /**< propagation frequency */
#define PROP_DELAY                 TRUE /**< should propagation method be delayed, if other propagators found
                                         *   reductions? */
#define PROP_PRESOL_PRIORITY    -100000 /**< priority of the presolving method (>= 0: before, < 0: after constraint handlers); combined with presolvers */
#define PROP_PRESOLTIMING       SCIP_PRESOLTIMING_EXHAUSTIVE /* timing of the presolving method (fast, medium, or exhaustive) */
#define PROP_PRESOL_MAXROUNDS        -1 /**< maximal number of presolving rounds the presolver participates in (-1: no
                                         *   limit) */
#define MAXDNOM                 10000LL /**< maximal denominator for simple rational fixed values */
 
 
/* @todo check for restricting the maximal number of implications that can be added by probing */
 
/* sorting of probing variables, two different variants are implemeneted */
/* #define VARIANT_B */
 
 
/*
 * Default parameter settings
 */
 
#define DEFAULT_MAXRUNS              1  /**< maximal number of runs, probing participates in (-1: no limit) */
#define DEFAULT_PROPROUNDS          -1  /**< maximal number of propagation rounds in probing subproblems */
#define DEFAULT_MAXFIXINGS          25  /**< maximal number of fixings found, until probing is interrupted
                                         *   (0: don't interrupt) */
#define DEFAULT_MAXUSELESS        1000  /**< maximal number of successive probings without fixings,
                                         *   until probing is aborted (0: don't abort) */
#define DEFAULT_MAXTOTALUSELESS     50  /**< maximal number of successive probings without fixings, bound changes,
                                         *   and implications, until probing is aborted (0: don't abort) */
#define DEFAULT_MAXSUMUSELESS        0  /**< maximal number of probings without fixings, until probing is aborted
                                         *   (0: don't abort) */
#define DEFAULT_MAXDEPTH            -1  /**< maximal depth until propagation is executed(-1: no limit) */
#define DEFAULT_RANDSEED            59  /**< random initial seed */
 
/*
 * Data structures
 */
 
/** propagator data */
struct SCIP_PropData
{
   SCIP_VAR**            sortedvars;         /**< problem variables sorted by number of rounding locks, used in presolving */
   int*                  nprobed;            /**< array of numbers how often we already probed on each variables */
   int                   noldtotalvars;      /**< number of total variables in problem */
   int                   nsortedvars;        /**< number of problem variables, used in presolving */
   int                   nsortedbinvars;     /**< number of binary problem variables, used in presolving */
   int                   maxruns;            /**< maximal number of runs, probing participates in (-1: no limit) */
   int                   proprounds;         /**< maximal number of propagation rounds in probing subproblems */
   int                   maxfixings;         /**< maximal number of fixings found, until probing is interrupted
                                              *   (0: don't interrupt) */
   int                   maxuseless;         /**< maximal number of successive probings without fixings,
                                              *   until probing is aborted (0: don't abort) */
   int                   maxtotaluseless;    /**< maximal number of successive probings without fixings, bound changes,
                                              *   and implications, until probing is aborted (0: don't abort) */
   int                   maxsumuseless;      /**< maximal number of probings without fixings, until probing is aborted
                                              *   (0: don't abort) */
   int                   startidx;           /**< starting variable index of next call, used in presolving */
   int                   lastsortstartidx;   /**< last starting variable index where the variables have been sorted, used in presolving */
   int                   nfixings;           /**< total number of fixings found in probing */
   int                   naggregations;      /**< total number of aggregations found in probing */
   int                   nimplications;      /**< total number of implications found in probing */
   int                   nbdchgs;            /**< total number of bound changes found in probing */
   int                   nuseless;           /**< current number of successive useless probings */
   int                   ntotaluseless;      /**< current number of successive totally useless probings */
   int                   nsumuseless;        /**< current number of useless probings */
   int                   maxdepth;           /**< maximal depth until propagation is executed */
   SCIP_Longint          lastnode;           /**< last node where probing was applied, or -1 for presolving, and -2 for not applied yet */
   SCIP_RANDNUMGEN*      randnumgen;         /**< random number generator */
};
 
 
/*
 * Local methods
 */
/** initializes the propagator data */
static
SCIP_RETCODE initPropdata(
   SCIP_PROPDATA*        propdata            /**< propagator data */
   )
{
   assert(propdata != NULL);
 
   propdata->sortedvars = NULL;
   propdata->nprobed = NULL;
   propdata->noldtotalvars = 0;
   propdata->nsortedvars = 0;
   propdata->nsortedbinvars = 0;
   propdata->startidx = 0;
   propdata->lastsortstartidx = -1;
   propdata->nfixings = 0;
   propdata->naggregations = 0;
   propdata->nimplications = 0;
   propdata->nbdchgs = 0;
   propdata->nuseless = 0;
   propdata->ntotaluseless = 0;
   propdata->nsumuseless = 0;
   propdata->lastnode = -2;
   propdata->randnumgen = NULL;
 
   return SCIP_OKAY;
}
 
/** frees the sorted vars array */
static
SCIP_RETCODE freeSortedvars(
   SCIP*                 scip,               /**< SCIP data structure */
   SCIP_PROPDATA*        propdata            /**< propagator data */
   )
{
   assert(propdata != NULL);
 
   if( propdata->sortedvars != NULL )
   {
      int i;
 
      /* release variables */
      for( i = 0; i < propdata->nsortedvars; ++i )
      {
         SCIP_CALL( SCIPreleaseVar(scip, &propdata->sortedvars[i]) );
      }
      SCIPfreeMemoryArray(scip, &propdata->sortedvars);
      propdata->nsortedvars = 0;
      propdata->nsortedbinvars = 0;
   }
 
   SCIPfreeMemoryArrayNull(scip, &propdata->nprobed);
   propdata->noldtotalvars = 0;
 
   return SCIP_OKAY;
}
 
/** sorts the binary variables starting with the given index by rounding locks and implications */
static
SCIP_RETCODE sortVariables(
   SCIP*                 scip,               /**< SCIP data structure */
   SCIP_PROPDATA*        propdata,           /**< propagator data */
   SCIP_VAR**            vars,               /**< problem variables to be sorted */
   int                   nvars,              /**< number of problem variables to be sorted */
   int                   firstidx            /**< first index that should be subject to sorting */
   )
{
   SCIP_VAR** sortedvars;
   int nsortedvars;
   SCIP_Real* scores;
   int i;
   int minnprobings;
   SCIP_Real maxscore;
   int nlocksdown;
   int nlocksup;
   int nimplzero;
   int nimplone;
   int nclqzero;
   int nclqone;
 
   assert(propdata != NULL);
   assert(propdata->nprobed != NULL);
 
   assert(vars != NULL || nvars == 0);
 
   nsortedvars = nvars - firstidx;
   if( nsortedvars <= 0 )
      return SCIP_OKAY;
 
   assert(vars != NULL);
 
   sortedvars = &(vars[firstidx]);
 
   SCIPdebugMsg(scip, "resorting probing variables %d to %d\n", firstidx, nvars-1);
 
   /* sort the variables by number of rounding locks and implications */
   SCIP_CALL( SCIPallocBufferArray(scip, &scores, nsortedvars) );
 
   maxscore = -1.0;
   minnprobings = INT_MAX;
 
   /* determine maximal possible score and minimal number of probings over all variables */
   for( i = 0; i < nvars; ++i )
   {
      SCIP_VAR* var;
      SCIP_Real tmp;
 
      var = vars[i];
 
      assert(SCIPvarIsBinary(var));
      assert(propdata->noldtotalvars > SCIPvarGetIndex(var));
      assert(propdata->nprobed[SCIPvarGetIndex(var)] >= 0);
 
      if( SCIPvarIsActive(var) )
      {
         nlocksdown = SCIPvarGetNLocksDownType(var, SCIP_LOCKTYPE_MODEL);
         nlocksup = SCIPvarGetNLocksUpType(var, SCIP_LOCKTYPE_MODEL);
         nimplzero = SCIPvarGetNImpls(var, FALSE);
         nimplone = SCIPvarGetNImpls(var, TRUE);
         nclqzero = SCIPvarGetNCliques(var, FALSE);
         nclqone = SCIPvarGetNCliques(var, TRUE);
 
#ifndef VARIANT_B
         tmp = -MAX(nlocksdown, nlocksup)
            + 10.0 * MIN(nimplzero, nimplone)
            + 100.0 * MIN(nclqzero, nclqone);
#else
         tmp = - ABS(nlocksdown - nlocksup)
            + MIN(nlocksdown, nlocksup)
            + 500.0 * nimplzero + 50.0 * nimplone
            + 50000.0 * nclqzero + 5000.0 * nclqone;
#endif
 
         if( tmp > maxscore )
            maxscore = tmp;
         if( propdata->nprobed[SCIPvarGetIndex(var)] < minnprobings )
            minnprobings = propdata->nprobed[SCIPvarGetIndex(var)];
      }
   }
 
   /* correct number of probings on each variable by minimal number of probings */
   if( minnprobings > 0 )
   {
      for( i = 0; i < nvars; ++i )
      {
         SCIP_VAR* var;
 
         var = vars[i];
 
         if( SCIPvarIsActive(var) )
            propdata->nprobed[SCIPvarGetIndex(var)] -= minnprobings;
      }
   }
 
   for( i = 0; i < nsortedvars; ++i )
   {
      SCIP_VAR* var;
      var = sortedvars[i];
 
      assert(SCIPvarIsBinary(var));
 
      /* prefer variables that we did not already probe on */
      if( SCIPvarIsActive(var) )
      {
         SCIP_Real randomoffset;
         nlocksdown = SCIPvarGetNLocksDownType(var, SCIP_LOCKTYPE_MODEL);
         nlocksup = SCIPvarGetNLocksUpType(var, SCIP_LOCKTYPE_MODEL);
         nimplzero = SCIPvarGetNImpls(var, FALSE);
         nimplone = SCIPvarGetNImpls(var, TRUE);
         nclqzero = SCIPvarGetNCliques(var, FALSE);
         nclqone = SCIPvarGetNCliques(var, TRUE);
 
         assert(propdata->noldtotalvars > SCIPvarGetIndex(var));
         assert(propdata->nprobed[SCIPvarGetIndex(var)] >= 0);
 
         /* use a random offset to break possible ties arbitrarily */
         randomoffset = SCIPrandomGetReal(propdata->randnumgen, 0.0, 0.5);
 
#ifndef VARIANT_B
         scores[i] = -maxscore * propdata->nprobed[SCIPvarGetIndex(var)]
            - MAX(nlocksdown, nlocksup)
            + 10.0 * MIN(nimplzero, nimplone)
            + 100.0 * MIN(nclqzero, nclqone)  /*lint !e790*/
            - randomoffset; /* to break ties randomly */
#else
         scores[i] = -maxscore * propdata->nprobed[SCIPvarGetIndex(var)]
         - ABS(nlocksdown - nlocksup)
         + MIN(nlocksdown, nlocksup)
         + 500.0 * nimplzero + 50.0 * nimplone  /*lint !e790*/
         + 50000.0 * nclqzero + 5000.0 * nclqone  /*lint !e790*/
         - randomoffset; /* to break ties randomly */
#endif
      }
      else
         scores[i] = -SCIPinfinity(scip);
   }
 
   SCIPsortDownRealPtr(scores, (void**) sortedvars, nsortedvars);
 
   SCIPfreeBufferArray(scip, &scores);
 
   return SCIP_OKAY;
}
 
/** the main probing loop */
static
SCIP_RETCODE applyProbing(
   SCIP*                 scip,               /**< SCIP data structure */
   SCIP_PROPDATA*        propdata,           /**< propagator data */
   SCIP_VAR**            vars,               /**< problem variables */
   int                   nvars,              /**< number of problem variables */
   int                   nbinvars,           /**< number of binary variables */
   int*                  startidx,           /**< pointer to store starting variable index of next call */
   int*                  nfixedvars,         /**< pointer to store number of fixed variables */
   int*                  naggrvars,          /**< pointer to store number of aggregated variables */
   int*                  nchgbds,            /**< pointer to store number of changed bounds */
   int                   oldnfixedvars,      /**< number of previously fixed variables */
   int                   oldnaggrvars,       /**< number of previously aggregated variables */
   SCIP_Bool*            delay,              /**< pointer to store whether propagator should be delayed */
   SCIP_Bool*            cutoff              /**< pointer to store whether cutoff occurred */
   )
{
   SCIP_Real* zeroimpllbs;
   SCIP_Real* zeroimplubs;
   SCIP_Real* zeroproplbs;
   SCIP_Real* zeropropubs;
   SCIP_Real* oneimpllbs;
   SCIP_Real* oneimplubs;
   SCIP_Real* oneproplbs;
   SCIP_Real* onepropubs;
   int localnfixedvars;
   int localnaggrvars;
   int localnchgbds;
   int localnimplications;
   int maxfixings;
   int maxuseless;
   int maxtotaluseless;
   int maxsumuseless;
   int i;
   int oldstartidx;
   SCIP_Bool aborted;
   SCIP_Bool looped;
 
   assert(vars != NULL);
   assert(nbinvars > 0);
 
   maxfixings = (propdata->maxfixings > 0 ? propdata->maxfixings : INT_MAX);
   maxuseless = (propdata->maxuseless > 0 ? propdata->maxuseless : INT_MAX);
   maxtotaluseless = (propdata->maxtotaluseless > 0 ? propdata->maxtotaluseless : INT_MAX);
   maxsumuseless = (propdata->maxsumuseless > 0 ? propdata->maxsumuseless : INT_MAX);
   aborted = FALSE;
   looped = FALSE;
   oldstartidx = *startidx;
   i = *startidx;
 
   /* get temporary memory for storing probing results */
   SCIP_CALL( SCIPallocBufferArray(scip, &zeroimpllbs, nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &zeroimplubs, nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &zeroproplbs, nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &zeropropubs, nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &oneimpllbs, nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &oneimplubs, nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &oneproplbs, nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &onepropubs, nvars) );
 
   /* for each binary variable, probe fixing the variable to zero and one */
   *delay = FALSE;
   *cutoff = FALSE;
   do
   {
      for( ; i < nbinvars && !(*cutoff); ++i )
      {
         SCIP_Bool localcutoff;
         SCIP_Bool probingzero;
         SCIP_Bool probingone;
 
         /* check whether probing should be aborted */
         if( propdata->nuseless >= maxuseless || propdata->ntotaluseless >= maxtotaluseless || propdata->nsumuseless >= maxsumuseless || SCIPisStopped(scip) )
         {
            SCIPverbMessage(scip, SCIP_VERBLEVEL_HIGH, NULL,
               "   (%.1fs) probing: %d/%d (%.1f%%) - %d fixings, %d aggregations, %d implications, %d bound changes\n",
               SCIPgetSolvingTime(scip), i+1, nbinvars, 100.0*(SCIP_Real)(i+1)/(SCIP_Real)nbinvars,
               propdata->nfixings, propdata->naggregations, propdata->nimplications, propdata->nbdchgs);
 
            aborted = TRUE;
 
            if( propdata->nuseless >= maxuseless )
            {
               SCIPverbMessage(scip, SCIP_VERBLEVEL_HIGH, NULL,
                  "   (%.1fs) probing aborted: %d/%d successive useless probings\n", SCIPgetSolvingTime(scip),
                  propdata->nuseless, maxuseless);
            }
            else if( propdata->ntotaluseless >= maxtotaluseless )
            {
               SCIPverbMessage(scip, SCIP_VERBLEVEL_HIGH, NULL,
                  "   (%.1fs) probing aborted: %d/%d successive totally useless probings\n", SCIPgetSolvingTime(scip),
                  propdata->ntotaluseless, maxtotaluseless);
            }
            else if( propdata->nsumuseless >= maxsumuseless )
            {
               SCIPverbMessage(scip, SCIP_VERBLEVEL_HIGH, NULL,
                  "   (%.1fs) probing aborted: %d/%d useless probings in total\n", SCIPgetSolvingTime(scip),
                  propdata->nsumuseless, maxsumuseless);
            }
            else
            {
               assert(SCIPisStopped(scip));
               SCIPverbMessage(scip, SCIP_VERBLEVEL_HIGH, NULL,
                  "   (%.1fs) probing aborted: solving stopped\n", SCIPgetSolvingTime(scip));
            }
            break;
         }
 
         /* check if we already fixed enough variables for this round, or probed on all variables */
         if( *nfixedvars - oldnfixedvars + *naggrvars - oldnaggrvars >= maxfixings || (looped && oldstartidx == i) )
         {
            if( *nfixedvars - oldnfixedvars + *naggrvars - oldnaggrvars > 0 )
               *delay = TRUE;
            else
               aborted = TRUE;
            break;
         }
 
         /* display probing status */
         if( SCIPgetStage(scip) == SCIP_STAGE_PRESOLVING && (i+1) % 100 == 0 )
         {
            SCIP_VERBLEVEL verblevel;
 
            verblevel = ((i+1) % 1000 == 0 ? SCIP_VERBLEVEL_HIGH : SCIP_VERBLEVEL_FULL);
            SCIPverbMessage(scip, verblevel, NULL,
               "   (%.1fs) probing: %d/%d (%.1f%%) - %d fixings, %d aggregations, %d implications, %d bound changes\n",
               SCIPgetSolvingTime(scip), i+1, nbinvars, 100.0*(SCIP_Real)(i+1)/(SCIP_Real)nbinvars,
               propdata->nfixings, propdata->naggregations, propdata->nimplications, propdata->nbdchgs);
         }
 
         /* ignore variables, that were fixed, aggregated, or deleted in prior probings */
         if( !SCIPvarIsActive(vars[i]) || SCIPvarIsDeleted(vars[i])
            || SCIPvarGetLbLocal(vars[i]) > 0.5 || SCIPvarGetUbLocal(vars[i]) < 0.5 )
            continue;
 
         if( propdata->nuseless > 0 )
            propdata->nsumuseless++;
         else
            propdata->nsumuseless = MAX(propdata->nsumuseless-1, 0);
         propdata->nuseless++;
         propdata->ntotaluseless++;
 
         /* determine whether one probing should happen */
         probingone = TRUE;
         if( SCIPvarGetNLocksUpType(vars[i], SCIP_LOCKTYPE_MODEL) == 0 )
            probingone = FALSE;
 
         if( probingone )
         {
            /* apply probing for fixing the variable to one */
            SCIP_CALL( SCIPapplyProbingVar(scip, vars, nvars, i, SCIP_BOUNDTYPE_LOWER, 1.0, propdata->proprounds,
                  oneimpllbs, oneimplubs, oneproplbs, onepropubs, &localcutoff) );
 
            if( localcutoff )
            {
               SCIP_Bool fixed;
 
               if( SCIPgetStage(scip) != SCIP_STAGE_SOLVING || SCIPnodeGetDepth(SCIPgetCurrentNode(scip)) == 0 )
               {
                  /* the variable can be fixed to FALSE */
                  SCIP_CALL( SCIPfixVar(scip, vars[i], 0.0, cutoff, &fixed) );
                  assert(fixed);
               }
               else
               {
                  SCIP_CALL( SCIPtightenVarUb(scip, vars[i], 0.0, TRUE, cutoff, &fixed) );
               }
 
               if( fixed )
               {
                  SCIPdebugMsg(scip, "fixed probing variable <%s> to 0.0, nlocks=(%d/%d)\n",
                     SCIPvarGetName(vars[i]), SCIPvarGetNLocksDownType(vars[i], SCIP_LOCKTYPE_MODEL),
                     SCIPvarGetNLocksUpType(vars[i], SCIP_LOCKTYPE_MODEL));
                  (*nfixedvars)++;
                  propdata->nfixings++;
                  propdata->nuseless = 0;
                  propdata->ntotaluseless = 0;
               }
               else if( *cutoff )
               {
                  SCIPdebugMsg(scip, "tightening upper bound of probing variable <%s> to 0.0 led to a cutoff\n",
                     SCIPvarGetName(vars[i]));
               }
               continue; /* don't try downwards direction, because the variable is already fixed */
            }
 
            /* ignore variables, that were fixed, aggregated, or deleted in prior probings
             * (propagators in one-probe might have found global fixings but did not trigger the localcutoff)
             */
            if( !SCIPvarIsActive(vars[i]) || SCIPvarIsDeleted(vars[i])
               || SCIPvarGetLbLocal(vars[i]) > 0.5 || SCIPvarGetUbLocal(vars[i]) < 0.5 )
               continue;
         }
 
         /* determine whether zero probing should happen */
         probingzero = TRUE;
         if( SCIPvarGetNLocksDownType(vars[i], SCIP_LOCKTYPE_MODEL) == 0 )
            probingzero = FALSE;
 
         if( probingzero )
         {
            /* apply probing for fixing the variable to zero */
            SCIP_CALL( SCIPapplyProbingVar(scip, vars, nvars, i, SCIP_BOUNDTYPE_UPPER, 0.0, propdata->proprounds,
                  zeroimpllbs, zeroimplubs, zeroproplbs, zeropropubs, &localcutoff) );
 
            if( localcutoff )
            {
               SCIP_Bool fixed;
 
               if( SCIPgetStage(scip) != SCIP_STAGE_SOLVING || SCIPnodeGetDepth(SCIPgetCurrentNode(scip)) == 0 )
               {
                  /* the variable can be fixed to TRUE */
                  SCIP_CALL( SCIPfixVar(scip, vars[i], 1.0, cutoff, &fixed) );
               }
               else
               {
                  SCIP_CALL( SCIPtightenVarLb(scip, vars[i], 1.0, TRUE, cutoff, &fixed) );
               }
 
               if( fixed )
               {
                  SCIPdebugMsg(scip, "fixed probing variable <%s> to 1.0, nlocks=(%d/%d)\n",
                     SCIPvarGetName(vars[i]), SCIPvarGetNLocksDownType(vars[i], SCIP_LOCKTYPE_MODEL),
                     SCIPvarGetNLocksUpType(vars[i], SCIP_LOCKTYPE_MODEL));
                  (*nfixedvars)++;
                  propdata->nfixings++;
                  propdata->nuseless = 0;
                  propdata->ntotaluseless = 0;
               }
               else if( *cutoff )
               {
                  SCIPdebugMsg(scip, "tightening lower bound of probing variable <%s> to 1.0 led to a cutoff\n",
                     SCIPvarGetName(vars[i]));
               }
               continue; /* don't analyze probing deductions, because the variable is already fixed */
            }
         }
 
         /* not have to check deductions if only one probing direction has been checked */
         if( !probingzero || !probingone )
            continue;
 
         assert(propdata->noldtotalvars > SCIPvarGetIndex(vars[i]));
 
         /* count number of probings on each variable */
         propdata->nprobed[SCIPvarGetIndex(vars[i])] += 1;
 
         /* analyze probing deductions */
         localnfixedvars    = 0;
         localnaggrvars     = 0;
         localnimplications = 0;
         localnchgbds       = 0;
         SCIP_CALL( SCIPanalyzeDeductionsProbing(scip, vars[i], 0.0, 1.0,
               nvars, vars, zeroimpllbs, zeroimplubs, zeroproplbs, zeropropubs, oneimpllbs, oneimplubs, oneproplbs, onepropubs,
               &localnfixedvars, &localnaggrvars, &localnimplications, &localnchgbds, cutoff) );
 
         *nfixedvars += localnfixedvars;
         *naggrvars  += localnaggrvars;
         *nchgbds    += localnchgbds;
         propdata->nfixings      += localnfixedvars;
         propdata->naggregations += localnaggrvars;
         propdata->nbdchgs       += localnchgbds;
         propdata->nimplications += localnimplications;
 
         if( localnfixedvars > 0 || localnaggrvars > 0 )
         {
            SCIPdebugMsg(scip, "probing on <%s> led to %d fixed and %d aggregated variables\n", SCIPvarGetName(vars[i]),
               localnfixedvars, localnaggrvars);
            propdata->nuseless = 0;
            propdata->ntotaluseless = 0;
         }
         if( localnimplications > 0 || localnchgbds > 0 )
            propdata->ntotaluseless = 0;
      }
 
      looped = TRUE;
 
      /* check if we reached the end of all binary variables but did not stop, so we start from the beginning */
      if( i == nbinvars && !(*cutoff) && !(*delay) && !aborted )
      {
         SCIPverbMessage(scip, SCIP_VERBLEVEL_HIGH, NULL,
            "   (%.1fs) probing cycle finished: starting next cycle\n", SCIPgetSolvingTime(scip));
         i = 0;
 
         if( SCIPgetStage(scip) == SCIP_STAGE_PRESOLVING )
         {
            SCIP_VAR** newvars;
            int nnewvars;
            int nnewbinvars;
            int nnewintvars;
            int nnewimplvars;
            int lastidx;
            int v;
 
            assert(vars == propdata->sortedvars);
            assert(nbinvars == propdata->nsortedbinvars);
 
            /* release old variables and free memory */
            for( v = propdata->nsortedvars - 1; v >= 0; --v )
            {
               SCIP_CALL( SCIPreleaseVar(scip, &propdata->sortedvars[v]) );
            }
            SCIPfreeMemoryArray(scip, &propdata->sortedvars);
            propdata->nsortedvars = 0;
            propdata->nsortedbinvars = 0;
 
            /* get new variables */
            nnewvars = SCIPgetNVars(scip);
            newvars = SCIPgetVars(scip);
            SCIP_CALL( SCIPduplicateMemoryArray(scip, &(propdata->sortedvars), newvars, nnewvars) ); /*lint !e666*/
            propdata->nsortedvars = nnewvars;
 
            nnewbinvars = SCIPgetNBinVars(scip);
            nnewintvars = SCIPgetNIntVars(scip);
            nnewimplvars = SCIPgetNImplVars(scip);
 
            /* determine implicit binary variables */
            lastidx = nnewbinvars + nnewintvars + nnewimplvars;
            for( v = nnewbinvars; v < lastidx; ++v )
            {
               if( SCIPvarIsBinary(propdata->sortedvars[v]) )
               {
                  SCIPswapPointers((void**) &(propdata->sortedvars[nnewbinvars]), (void**) &(propdata->sortedvars[v]));
                  ++nnewbinvars;
               }
            }
            propdata->nsortedbinvars = nnewbinvars;
 
            nbinvars = nnewbinvars;
            vars = propdata->sortedvars;
            nvars = propdata->nsortedvars;
 
            SCIP_CALL( SCIPreallocBufferArray(scip, &zeroimpllbs, nvars) );
            SCIP_CALL( SCIPreallocBufferArray(scip, &zeroimplubs, nvars) );
            SCIP_CALL( SCIPreallocBufferArray(scip, &zeroproplbs, nvars) );
            SCIP_CALL( SCIPreallocBufferArray(scip, &zeropropubs, nvars) );
            SCIP_CALL( SCIPreallocBufferArray(scip, &oneimpllbs, nvars) );
            SCIP_CALL( SCIPreallocBufferArray(scip, &oneimplubs, nvars) );
            SCIP_CALL( SCIPreallocBufferArray(scip, &oneproplbs, nvars) );
            SCIP_CALL( SCIPreallocBufferArray(scip, &onepropubs, nvars) );
 
            /* correct oldstartidx which is used for early termination */
            if( oldstartidx >= nbinvars )
               oldstartidx = nbinvars - 1;
 
            /* capture variables to make sure, the variables are not deleted */
            for( v = propdata->nsortedvars - 1; v >= 0; --v )
            {
               SCIP_CALL( SCIPcaptureVar(scip, propdata->sortedvars[v]) );
            }
 
            if( nnewbinvars == 0 )
            {
               *startidx = 0;
               propdata->lastsortstartidx = -1;
               propdata->nuseless = 0;
               propdata->ntotaluseless = 0;
 
               goto TERMINATE;
            }
 
            /* resorting here might lead to probing a second time on the same variable */
            SCIP_CALL( sortVariables(scip, propdata, propdata->sortedvars, propdata->nsortedbinvars, 0) );
            propdata->lastsortstartidx = 0;
         }
      }
   }
   while( i == 0 && !(*cutoff) && !(*delay) && !aborted );
 
   *startidx = i;
 
 TERMINATE:
   /* free temporary memory */
   SCIPfreeBufferArray(scip, &onepropubs);
   SCIPfreeBufferArray(scip, &oneproplbs);
   SCIPfreeBufferArray(scip, &oneimplubs);
   SCIPfreeBufferArray(scip, &oneimpllbs);
   SCIPfreeBufferArray(scip, &zeropropubs);
   SCIPfreeBufferArray(scip, &zeroproplbs);
   SCIPfreeBufferArray(scip, &zeroimplubs);
   SCIPfreeBufferArray(scip, &zeroimpllbs);
 
   return SCIP_OKAY;
}
 
 
/*
 * Callback methods of propagator
 */
 
/** copy method for constraint handler plugins (called when SCIP copies plugins) */
static
SCIP_DECL_PROPCOPY(propCopyProbing)
{  /*lint --e{715}*/
   assert(scip != NULL);
   assert(prop != NULL);
 
   SCIP_STRINGEQ( SCIPpropGetName(prop), PROP_NAME, SCIP_INVALIDCALL );
 
   /* call inclusion method for propagator */
   SCIP_CALL( SCIPincludePropProbing(scip) );
 
   return SCIP_OKAY;
}
 
 
/** destructor of propagator to free user data (called when SCIP is exiting) */
static
SCIP_DECL_PROPFREE(propFreeProbing)
{  /*lint --e{715}*/
   SCIP_PROPDATA* propdata;
 
   /* free propagator data */
   propdata = SCIPpropGetData(prop);
   assert(propdata != NULL);
   assert(propdata->sortedvars == NULL);
   assert(propdata->nsortedvars == 0);
   assert(propdata->nsortedbinvars == 0);
 
   SCIPfreeBlockMemory(scip, &propdata);
   SCIPpropSetData(prop, NULL);
 
   return SCIP_OKAY;
}
 
 
/** initialization method of propagator (called after problem was transformed) */
static
SCIP_DECL_PROPINIT(propInitProbing)
{  /*lint --e{715}*/
   SCIP_PROPDATA* propdata;
 
   propdata = SCIPpropGetData(prop);
   assert(propdata != NULL);
 
   SCIP_CALL( initPropdata(propdata) );
 
   /* create random number generator */
   SCIP_CALL( SCIPcreateRandom(scip, &propdata->randnumgen,
      DEFAULT_RANDSEED, TRUE) );
 
   return SCIP_OKAY;
}
 
 
/** deinitialization method of propagator (called before transformed problem is freed) */
static
SCIP_DECL_PROPEXIT(propExitProbing)
{  /*lint --e{715}*/
   SCIP_PROPDATA* propdata;
 
   propdata = SCIPpropGetData(prop);
   assert(propdata != NULL);
 
   SCIP_CALL( freeSortedvars(scip, propdata) );
   assert(propdata->sortedvars == NULL);
   assert(propdata->nsortedvars == 0);
   assert(propdata->nsortedbinvars == 0);
 
   /* free random number generator */
   SCIPfreeRandom(scip, &propdata->randnumgen);
 
   return SCIP_OKAY;
}
 
/** presolving initialization method of propagator (called when presolving is about to begin) */
static
SCIP_DECL_PROPINITPRE(propInitpreProbing)
{  /*lint --e{715}*/
   SCIP_PROPDATA* propdata;
 
   propdata = SCIPpropGetData(prop);
   assert(propdata != NULL);
 
   propdata->lastnode = -2;
 
   return SCIP_OKAY;
}
 
 
/** presolving deinitialization method of propagator (called after presolving has been finished) */
static
SCIP_DECL_PROPEXITPRE(propExitpreProbing)
{  /*lint --e{715}*/
   SCIP_PROPDATA* propdata;
 
   propdata = SCIPpropGetData(prop);
   assert(propdata != NULL);
 
   /* delete the vars array, if the maximal number of runs are exceeded */
   if( propdata->maxruns >= 0 && SCIPgetNRuns(scip) >= propdata->maxruns )
   {
      SCIP_CALL( freeSortedvars(scip, propdata) );
      assert(propdata->sortedvars == NULL);
      assert(propdata->nsortedvars == 0);
      assert(propdata->nsortedbinvars == 0);
   }
 
   return SCIP_OKAY;
}
 
 
/** solving process initialization method of propagator (called when branch and bound process is about to begin) */
static
SCIP_DECL_PROPINITSOL(propInitsolProbing)
{
  /*lint --e{715}*/
   SCIP_PROPDATA* propdata;
 
   propdata = SCIPpropGetData(prop);
   assert(propdata != NULL);
 
   /* reset all propdata elements for stopping propagation earlier */
   propdata->nuseless = 0;
   propdata->ntotaluseless = 0;
   propdata->nsumuseless = 0;
 
   return SCIP_OKAY;
}
 
 
/** presolve method of propagator */
static
SCIP_DECL_PROPPRESOL(propPresolProbing)
{  /*lint --e{715}*/
   SCIP_PROPDATA* propdata;
   int nvars;
   int nbinvars;
   int nintvars;
   int nimplvars;
   int oldnfixedvars;
   int oldnaggrvars;
   int oldnchgbds;
   int oldnimplications;
   int ntotalvars;
   SCIP_Bool delay;
   SCIP_Bool cutoff;
 
   assert(result != NULL);
 
   *result = SCIP_DIDNOTRUN;
 
   nbinvars = SCIPgetNBinVars(scip);
   nintvars = SCIPgetNIntVars(scip);
   nimplvars = SCIPgetNImplVars(scip);
 
   /* if we have no binary variable anymore, we stop probing */
   if( nbinvars + nintvars + nimplvars == 0 )
      return SCIP_OKAY;
 
   /* get propagator data */
   propdata = SCIPpropGetData(prop);
   assert(propdata != NULL);
 
   /* check, if probing should be applied in the current run */
   if( propdata->maxruns >= 0 && SCIPgetNRuns(scip) > propdata->maxruns )
      return SCIP_OKAY;
 
   /* if no domains changed since the last call, we don't need to probe */
   if( propdata->lastnode == -1 && nnewfixedvars == 0 && nnewaggrvars == 0 && nnewchgbds == 0 && nnewholes == 0 )
      return SCIP_OKAY;
 
   SCIPdebugMsg(scip, "executing probing (used %.1f sec)\n", SCIPpropGetTime(prop));
 
   *result = SCIP_DIDNOTFIND;
 
   /* allow some additional probings */
   propdata->nuseless -= propdata->nuseless/10;
   propdata->ntotaluseless -= propdata->ntotaluseless/10;
 
   /* get variable data */
   if( propdata->sortedvars == NULL )
   {
      SCIP_VAR** vars = SCIPgetVars(scip);
      int lastidx;
      int v;
 
      assert(propdata->startidx == 0);
 
      nvars = SCIPgetNVars(scip);
 
      SCIP_CALL( SCIPduplicateMemoryArray(scip, &(propdata->sortedvars), vars, nvars) );
      propdata->nsortedvars = nvars;
 
      /* determine implicit binary variables */
      lastidx = nbinvars + nintvars + nimplvars;
      for( v = nbinvars; v < lastidx; ++v )
      {
         if( SCIPvarIsBinary(propdata->sortedvars[v]) )
         {
            SCIPswapPointers((void**) &(propdata->sortedvars[nbinvars]), (void**) &(propdata->sortedvars[v]));
            ++nbinvars;
         }
      }
      propdata->nsortedbinvars = nbinvars;
 
      /* capture variables to make sure, the variables are not deleted */
      for( v = propdata->nsortedvars - 1; v >= 0 ; --v )
      {
         SCIP_CALL( SCIPcaptureVar(scip, propdata->sortedvars[v]) );
      }
   }
 
   if( propdata->nsortedbinvars == 0 )
      return SCIP_OKAY;
 
   /* number of total variables is not decreasing, and we can identify every variable by their index, so allocate
    * enough space
    */
   ntotalvars = SCIPgetNTotalVars(scip);
   if( propdata->noldtotalvars < ntotalvars )
   {
      SCIP_CALL( SCIPreallocMemoryArray(scip, &propdata->nprobed, ntotalvars) );
      BMSclearMemoryArray(&(propdata->nprobed[propdata->noldtotalvars]), ntotalvars - propdata->noldtotalvars); /*lint !e866*/
      propdata->noldtotalvars = ntotalvars;
   }
 
   propdata->lastnode = -1;
 
   /* sort the binary variables by number of rounding locks, if at least 100 variables were probed since last sort */
   if( propdata->lastsortstartidx < 0 || propdata->startidx - propdata->lastsortstartidx >= 100 )
   {
      SCIP_CALL( sortVariables(scip, propdata, propdata->sortedvars, propdata->nsortedbinvars, propdata->startidx) );
      propdata->lastsortstartidx = propdata->startidx;
   }
 
   oldnfixedvars = *nfixedvars;
   oldnaggrvars = *naggrvars;
   oldnchgbds = *nchgbds;
   oldnimplications = propdata->nimplications;
 
   /* start probing on variables */
   SCIP_CALL( applyProbing(scip, propdata, propdata->sortedvars, propdata->nsortedvars, propdata->nsortedbinvars,
         &(propdata->startidx), nfixedvars, naggrvars, nchgbds, oldnfixedvars, oldnaggrvars, &delay, &cutoff) );
 
   /* adjust result code */
   if( cutoff )
      *result = SCIP_CUTOFF;
   else
   {
      if( delay )
      {
         /* probing was interrupted because it reached the maximal fixings parameter, so we want to rerun it at the next call */
         propdata->lastnode = -2;
      }
 
      if( *nfixedvars > oldnfixedvars || *naggrvars > oldnaggrvars || *nchgbds > oldnchgbds
         || propdata->nimplications > oldnimplications )
         *result = SCIP_SUCCESS;
   }
 
   return SCIP_OKAY;
}
 
 
/** execution method of propagator */
static
SCIP_DECL_PROPEXEC(propExecProbing)
{  /*lint --e{715}*/
   SCIP_PROPDATA* propdata;
   SCIP_VAR** vars;
   SCIP_VAR** binvars;
   int nvars;
   int nbinvars;
   int i;
   int nfixedvars;
   int naggrvars;
   int nchgbds;
   int oldnfixedvars;
   int oldnaggrvars;
   int oldnchgbds;
   SCIPdebug( int oldnimplications; )
   int startidx;
   int ntotalvars;
   SCIP_Bool delay;
   SCIP_Bool cutoff;
 
   assert(result != NULL);
 
   *result = SCIP_DIDNOTRUN;
 
   /* avoid recursive infinity loop */
   if( SCIPinProbing(scip) )
      return SCIP_OKAY;
 
   /* only call propagation on branching candidates, if an optimal LP solution is at hand */
   if( SCIPgetLPSolstat(scip) != SCIP_LPSOLSTAT_OPTIMAL )
      return SCIP_OKAY;
 
   /* get propagator data */
   propdata = SCIPpropGetData(prop);
   assert(propdata != NULL);
 
   /* if already called stop */
   if( propdata->lastnode == SCIPnodeGetNumber(SCIPgetCurrentNode(scip)) )
      return SCIP_OKAY;
 
   /* if maximal depth for propagation is reached, stop */
   if( propdata->maxdepth >= 0 && propdata->maxdepth < SCIPgetDepth(scip) )
      return SCIP_OKAY;
 
   propdata->lastnode = SCIPnodeGetNumber(SCIPgetCurrentNode(scip));
 
   /* get (number of) fractional variables that should be integral */
   /* todo check if integrating fractional implicit integer variables is beneficial for probing */
   SCIP_CALL( SCIPgetLPBranchCands(scip, &vars, NULL, NULL, &nvars, NULL, NULL) );
   nbinvars = 0;
 
   /* alloc array for fractional binary variables */
   SCIP_CALL( SCIPallocBufferArray(scip, &binvars, nvars) );
 
   /* copy binary variables to array binvars */
   for( i = 0; i < nvars; ++i )
   {
      SCIP_VAR* var;
      var = vars[i];
 
      assert(var != NULL);
      if( SCIPvarIsBinary(var) )
      {
         assert(SCIPvarGetLbLocal(var) < 0.5);
         assert(SCIPvarGetUbLocal(var) > 0.5);
 
         binvars[nbinvars] = var;
         ++nbinvars;
      }
   }
   SCIPdebugMsg(scip, "problem <%s> node %" SCIP_LONGINT_FORMAT " probing propagation found %d of %d possible probing candidates\n", SCIPgetProbName(scip), SCIPnodeGetNumber(SCIPgetCurrentNode(scip)), nbinvars, nvars);
 
   if( nbinvars == 0 )
   {
      *result = SCIP_DIDNOTFIND;
      goto TERMINATE;
   }
 
   /* number of total variables is not decreasing, and we can identify every variable by their index, so allocate
    * enough space
    */
   ntotalvars = SCIPgetNTotalVars(scip);
   if( propdata->noldtotalvars < ntotalvars )
   {
      SCIP_CALL( SCIPreallocMemoryArray(scip, &propdata->nprobed, ntotalvars) );
      BMSclearMemoryArray(&(propdata->nprobed[propdata->noldtotalvars]), ntotalvars - propdata->noldtotalvars); /*lint !e866*/
      propdata->noldtotalvars = ntotalvars;
   }
 
   /* sort binary variables */
   SCIP_CALL( sortVariables(scip, propdata, binvars, nbinvars, 0) );
 
   oldnfixedvars = 0;
   oldnaggrvars = 0;
   oldnchgbds = 0;
   nfixedvars = 0;
   naggrvars = 0;
   nchgbds = 0;
   startidx = 0;
   SCIPdebug( oldnimplications = propdata->nimplications; )
 
   /* start probing on found variables */
   SCIP_CALL( applyProbing(scip, propdata, binvars, nbinvars, nbinvars, &startidx, &nfixedvars, &naggrvars, &nchgbds, oldnfixedvars, oldnaggrvars, &delay, &cutoff) );
   SCIPdebug( SCIPdebugMsg(scip, "probing propagation found %d fixings, %d aggregation, %d nchgbds, and %d implications\n",
      nfixedvars, naggrvars, nchgbds, (propdata->nimplications) - oldnimplications); )
 
   if( delay )
   {
      /* probing was interrupted because it reached the maximal fixings parameter, so we want to rerun it at the next call */
      propdata->lastnode = -2;
   }
 
   /* adjust result code */
   if( cutoff )
      *result = SCIP_CUTOFF;
   else if( nfixedvars > oldnfixedvars || naggrvars > oldnaggrvars || nchgbds > oldnchgbds )
      *result = SCIP_REDUCEDDOM;
 
 TERMINATE:
   SCIPfreeBufferArray(scip, &binvars);
 
   return SCIP_OKAY; /*lint !e438*/
}
 
 
/** propagation conflict resolving method of propagator */
static
SCIP_DECL_PROPRESPROP(propRespropProbing)
{  /*lint --e{715}*/
   *result = SCIP_DIDNOTRUN;
 
   return SCIP_OKAY;
}
 
 
/*
 * propagator specific interface methods
 */
 
/** creates the probing propagator and includes it in SCIP */
SCIP_RETCODE SCIPincludePropProbing(
   SCIP*                 scip                /**< SCIP data structure */
   )
{
   SCIP_PROPDATA* propdata;
   SCIP_PROP* prop;
 
   /* create probing propagator data */
   SCIP_CALL( SCIPallocBlockMemory(scip, &propdata) );
   SCIP_CALL( initPropdata(propdata) );
 
   /* include propagator */
   SCIP_CALL( SCIPincludePropBasic(scip, &prop, PROP_NAME, PROP_DESC, PROP_PRIORITY, PROP_FREQ, PROP_DELAY, PROP_TIMING,
         propExecProbing, propdata) );
 
   assert(prop != NULL);
 
   /* set optional callbacks via setter functions */
   SCIP_CALL( SCIPsetPropCopy(scip, prop, propCopyProbing) );
   SCIP_CALL( SCIPsetPropFree(scip, prop, propFreeProbing) );
   SCIP_CALL( SCIPsetPropInit(scip, prop, propInitProbing) );
   SCIP_CALL( SCIPsetPropExit(scip, prop, propExitProbing) );
   SCIP_CALL( SCIPsetPropInitsol(scip, prop, propInitsolProbing) );
   SCIP_CALL( SCIPsetPropInitpre(scip, prop, propInitpreProbing) );
   SCIP_CALL( SCIPsetPropExitpre(scip, prop, propExitpreProbing) );
   SCIP_CALL( SCIPsetPropPresol(scip, prop, propPresolProbing, PROP_PRESOL_PRIORITY, PROP_PRESOL_MAXROUNDS,
         PROP_PRESOLTIMING) );
   SCIP_CALL( SCIPsetPropResprop(scip, prop, propRespropProbing) );
 
   /* add probing propagator parameters */
   SCIP_CALL( SCIPaddIntParam(scip,
         "propagating/" PROP_NAME "/maxruns",
         "maximal number of runs, probing participates in (-1: no limit)",
         &propdata->maxruns, FALSE, DEFAULT_MAXRUNS, -1, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "propagating/" PROP_NAME "/proprounds",
         "maximal number of propagation rounds in probing subproblems (-1: no limit, 0: auto)",
         &propdata->proprounds, TRUE, DEFAULT_PROPROUNDS, -1, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "propagating/" PROP_NAME "/maxfixings",
         "maximal number of fixings found, until probing is interrupted (0: don't iterrupt)",
         &propdata->maxfixings, TRUE, DEFAULT_MAXFIXINGS, 0, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "propagating/" PROP_NAME "/maxuseless",
         "maximal number of successive probings without fixings, until probing is aborted (0: don't abort)",
         &propdata->maxuseless, TRUE, DEFAULT_MAXUSELESS, 0, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "propagating/" PROP_NAME "/maxtotaluseless",
         "maximal number of successive probings without fixings, bound changes, and implications, until probing is aborted (0: don't abort)",
         &propdata->maxtotaluseless, TRUE, DEFAULT_MAXTOTALUSELESS, 0, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "propagating/" PROP_NAME "/maxsumuseless",
         "maximal number of probings without fixings, until probing is aborted (0: don't abort)",
         &propdata->maxsumuseless, TRUE, DEFAULT_MAXSUMUSELESS, 0, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "propagating/" PROP_NAME "/maxdepth",
         "maximal depth until propagation is executed(-1: no limit)",
         &propdata->maxdepth, TRUE, DEFAULT_MAXDEPTH, -1, INT_MAX, NULL, NULL) );
 
   return SCIP_OKAY;
}
 
 
/** applies and evaluates probing of a single variable in the given direction and bound */
SCIP_RETCODE SCIPapplyProbingVar(
   SCIP*                 scip,               /**< SCIP data structure */
   SCIP_VAR**            vars,               /**< problem variables */
   int                   nvars,              /**< number of problem variables */
   int                   probingpos,         /**< variable number to apply probing on */
   SCIP_BOUNDTYPE        boundtype,          /**< which bound should be changed */
   SCIP_Real             bound,              /**< which bound should be set */
   int                   maxproprounds,      /**< maximal number of propagation rounds (-1: no limit, 0: parameter settings) */
   SCIP_Real*            impllbs,            /**< array to store lower bounds after applying implications and cliques */
   SCIP_Real*            implubs,            /**< array to store upper bounds after applying implications and cliques */
   SCIP_Real*            proplbs,            /**< array to store lower bounds after full propagation */
   SCIP_Real*            propubs,            /**< array to store upper bounds after full propagation */
   SCIP_Bool*            cutoff              /**< pointer to store whether the probing direction is infeasible */
   )
{
   assert(impllbs != NULL);
   assert(implubs != NULL);
   assert(proplbs != NULL);
   assert(propubs != NULL);
   assert(cutoff != NULL);
   assert(0 <= probingpos && probingpos < nvars);
   assert(SCIPisGE(scip, bound, SCIPvarGetLbLocal(vars[probingpos])));
   assert(SCIPisLE(scip, bound, SCIPvarGetUbLocal(vars[probingpos])));
 
   SCIPdebugMsg(scip, "applying probing on variable <%s> %s %g (nlocks=%d/%d, impls=%d/%d, clqs=%d/%d)\n",
      SCIPvarGetName(vars[probingpos]), boundtype == SCIP_BOUNDTYPE_UPPER ? "<=" : ">=", bound,
      SCIPvarGetNLocksDownType(vars[probingpos], SCIP_LOCKTYPE_MODEL),
      SCIPvarGetNLocksUpType(vars[probingpos], SCIP_LOCKTYPE_MODEL),
      SCIPvarGetNImpls(vars[probingpos], FALSE), SCIPvarGetNImpls(vars[probingpos], TRUE),
      SCIPvarGetNCliques(vars[probingpos], FALSE), SCIPvarGetNCliques(vars[probingpos], TRUE));
 
   /* in debug mode we assert above that this trivial infeasibility does not occur (for performance reasons), but in
    * optimized mode we return safely
    */
   if( SCIPisLT(scip, bound, SCIPvarGetLbLocal(vars[probingpos]))
         || SCIPisGT(scip, bound, SCIPvarGetUbLocal(vars[probingpos])) )
   {
      SCIPdebugMsg(scip, " -> trivial infeasibility detected\n");
      *cutoff = TRUE;
      return SCIP_OKAY;
   }
 
   /* start probing mode */
   SCIP_CALL( SCIPstartProbing(scip) );
 
   /* enables collection of variable statistics during probing */
   SCIPenableVarHistory(scip);
 
   /* fix variable */
   if( boundtype == SCIP_BOUNDTYPE_UPPER )
   {
      SCIP_CALL( SCIPchgVarUbProbing(scip, vars[probingpos], bound) );
   }
   else
   {
      assert(boundtype == SCIP_BOUNDTYPE_LOWER);
      SCIP_CALL( SCIPchgVarLbProbing(scip, vars[probingpos], bound) );
   }
 
   /* @todo it might pay off to catch the bounds-tightened event on all variables and then only get the implied and
    *       propagated bounds on those variables which where really changed on propagation
    */
 
   /* apply propagation of implication graph and clique table */
   SCIP_CALL( SCIPpropagateProbingImplications(scip, cutoff) );
   if( !(*cutoff) )
   {
      int i;
 
      for( i = 0; i < nvars; ++i )
      {
         impllbs[i] = SCIPvarGetLbLocal(vars[i]);
         implubs[i] = SCIPvarGetUbLocal(vars[i]);
      }
 
      /* apply propagation */
      SCIP_CALL( SCIPpropagateProbing(scip, maxproprounds, cutoff, NULL) );
   }
   else
   {
      SCIPdebugMsg(scip, "propagating probing implications after <%s> to %g led to a cutoff\n",
         SCIPvarGetName(vars[probingpos]), bound);
   }
 
   /* evaluate propagation */
   if( !(*cutoff) )
   {
      int i;
 
      for( i = 0; i < nvars; ++i )
      {
         proplbs[i] = SCIPvarGetLbLocal(vars[i]);
         propubs[i] = SCIPvarGetUbLocal(vars[i]);
      }
   }
 
   /* exit probing mode */
   SCIP_CALL( SCIPendProbing(scip) );
 
   return SCIP_OKAY;
}
 
/** analyses boundchanges resulting from probing on a variable and performs deduced fixations, aggregations, and domain tightenings
 * Given a variable probingvar with domain [l,u] and bound tightening results from reducing the domain
 * once to [l,leftub] and once to [rightlb,u], the method computes and applies resulting variable fixations, aggregations,
 * implications, and bound changes. Variable probingvar does not need to be binary.
 * The whole domain of probingvar need to be covered by the left and right branches, i.e.,
 * we assume leftub >= rightlb for continuous variables or floor(leftub) >= ceil(rightlb)-1 for discrete variables.
 * Bounds after applying implications and cliques do not need to be provided, but if they are omitted and probingvar is a binary variable,
 * then already existing implications may be added.
 */
SCIP_RETCODE SCIPanalyzeDeductionsProbing(
   SCIP*                 scip,               /**< SCIP data structure */
   SCIP_VAR*             probingvar,         /**< the probing variable */
   SCIP_Real             leftub,             /**< upper bound of probing variable in left branch */
   SCIP_Real             rightlb,            /**< lower bound of probing variable in right branch */
   int                   nvars,              /**< number of variables which bound changes should be analyzed */
   SCIP_VAR**            vars,               /**< variables which bound changes should be analyzed */
   SCIP_Real*            leftimpllbs,        /**< lower bounds after applying implications and cliques in left branch, or NULL */
   SCIP_Real*            leftimplubs,        /**< upper bounds after applying implications and cliques in left branch, or NULL */
   SCIP_Real*            leftproplbs,        /**< lower bounds after applying domain propagation in left branch */
   SCIP_Real*            leftpropubs,        /**< upper bounds after applying domain propagation in left branch */
   SCIP_Real*            rightimpllbs,       /**< lower bounds after applying implications and cliques in right branch, or NULL */
   SCIP_Real*            rightimplubs,       /**< upper bounds after applying implications and cliques in right branch, or NULL */
   SCIP_Real*            rightproplbs,       /**< lower bounds after applying domain propagation in right branch */
   SCIP_Real*            rightpropubs,       /**< upper bounds after applying domain propagation in right branch */
   int*                  nfixedvars,         /**< pointer to counter which is increased by the number of deduced variable fixations */
   int*                  naggrvars,          /**< pointer to counter which is increased by the number of deduced variable aggregations */
   int*                  nimplications,      /**< pointer to counter which is increased by the number of deduced implications */
   int*                  nchgbds,            /**< pointer to counter which is increased by the number of deduced bound tightenings */
   SCIP_Bool*            cutoff              /**< buffer to store whether a cutoff is detected */
   )
{
   SCIP_Bool fixedleft;
   SCIP_Bool fixedright;
   SCIP_Bool probingvarisbinary;
   SCIP_Bool probingvarisinteger;
   int j;
 
   assert(scip != NULL);
   assert(probingvar != NULL);
   assert(SCIPisGE(scip, leftub,  SCIPvarGetLbLocal(probingvar))); /* left  branch should not be empty by default */
   assert(SCIPisLE(scip, rightlb, SCIPvarGetUbLocal(probingvar))); /* right branch should not be empty by default */
   assert(vars != NULL || nvars == 0);
   assert(leftproplbs != NULL);
   assert(leftpropubs != NULL);
   assert(rightproplbs != NULL);
   assert(rightpropubs != NULL);
   assert(nfixedvars != NULL);
   assert(naggrvars != NULL);
   assert(nimplications != NULL);
   assert(nchgbds != NULL);
   assert(cutoff != NULL);
 
   /* @todo the asserts below could be relaxed by taking domain holes into account */
   if( SCIPvarIsIntegral(probingvar) )
   {
      /* adjust bounds to actually used ones */
      leftub  = SCIPfloor(scip, leftub);
      rightlb = SCIPceil(scip, rightlb);
 
      probingvarisinteger = TRUE;
      probingvarisbinary = SCIPvarIsBinary(probingvar);
   }
   else
   {
      /* assert dichotomy in case of continuous var: leftub >= rightlb */
      assert(SCIPisGE(scip, leftub, rightlb));
      probingvarisbinary = FALSE;
      probingvarisinteger = FALSE;
   }
 
   /* check if probing variable was fixed in the branches */
   fixedleft  = SCIPisEQ(scip, SCIPvarGetLbLocal(probingvar), leftub);
   fixedright = SCIPisEQ(scip, SCIPvarGetUbLocal(probingvar), rightlb);
 
   *cutoff = FALSE;
 
   for( j = 0; j < nvars && !*cutoff; ++j )
   {
      SCIP_VAR* var;
      SCIP_Bool varisinteger;
      SCIP_Real newlb;
      SCIP_Real newub;
 
      assert(vars != NULL); /* for flexelint */
 
      var = vars[j];
      assert(var != NULL);
 
      /* @todo: add holes, and even add holes if x was the probing variable and it followed a better bound on x itself */
      /* @todo: check if we probed on an integer variable, that this maybe led to aggregation on two other variables, i.e
       *        probing on x <= 1 and x >= 2 led to y = 1, z = 1 and y = 0, z = 0 resp., which means y = Z
       */
 
      /* if probing variable is binary, then there is nothing we could deduce here (variable should be fixed in both branches)
       * if it is not binary, we want to see if we found bound tightenings, even though it seems quite unlikely */
      if( var == probingvar && probingvarisbinary )
         continue;
 
      /* new bounds of the variable is the union of the propagated bounds of the left and right case */
      newlb = MIN(leftproplbs[j], rightproplbs[j]);
      newub = MAX(leftpropubs[j], rightpropubs[j]);
      varisinteger = SCIPvarIsIntegral(var);
 
      /* check for fixed variables */
      if( SCIPisEQ(scip, newlb, newub) )
      {
         SCIP_Real fixval;
         SCIP_Bool fixed;
 
         if( !varisinteger )
         {
            /* in both probings, variable j is deduced to the same value: fix variable to this value */
            fixval = SCIPselectSimpleValue(newlb - 0.9 * SCIPepsilon(scip), newub + 0.9 * SCIPepsilon(scip), MAXDNOM);
         }
         else
         {
            fixval = newlb;
         }
 
         if( SCIPgetStage(scip) != SCIP_STAGE_SOLVING || SCIPnodeGetDepth(SCIPgetCurrentNode(scip)) == 0 )
         {
            SCIP_CALL( SCIPfixVar(scip, var, fixval, cutoff, &fixed) );
         }
         else
         {
            SCIP_CALL( SCIPtightenVarLb(scip, var, fixval, TRUE, cutoff, &fixed) );
            if( !*cutoff )
            {
               SCIP_Bool tightened;
 
               SCIP_CALL( SCIPtightenVarUb(scip, var, fixval, TRUE, cutoff, &tightened) );
               fixed &= tightened;
            }
         }
 
         if( fixed )
         {
            SCIPdebugMsg(scip, "fixed variable <%s> to %g due to probing on <%s> with nlocks=(%d/%d)\n",
               SCIPvarGetName(var), fixval,
               SCIPvarGetName(probingvar), SCIPvarGetNLocksDownType(probingvar, SCIP_LOCKTYPE_MODEL),
               SCIPvarGetNLocksUpType(probingvar, SCIP_LOCKTYPE_MODEL));
            (*nfixedvars)++;
         }
         else if( *cutoff )
         {
            SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible fixing of variable <%s> to %g\n",
               SCIPvarGetName(probingvar), SCIPvarGetName(var), fixval);
         }
 
         continue;
      }
      else
      {
         /* check for bound tightenings */
         SCIP_Real oldlb;
         SCIP_Real oldub;
         SCIP_Bool tightened;
         SCIP_Bool tightenlb;
         SCIP_Bool tightenub;
         SCIP_Bool force;
 
         oldlb = SCIPvarGetLbLocal(var);
         oldub = SCIPvarGetUbLocal(var);
 
         if( varisinteger )
         {
            force = TRUE;
            tightenlb = (newlb > oldlb + 0.5);
            tightenub = (newub < oldub - 0.5);
         }
         else
         {
            force = TRUE;
            tightenlb = SCIPisLbBetter(scip, newlb, oldlb, oldub);
            tightenub = SCIPisUbBetter(scip, newub, oldlb, oldub);
         }
 
         if( tightenlb )
         {
            /* in both probings, variable j is deduced to be at least newlb: tighten lower bound */
            SCIP_CALL( SCIPtightenVarLb(scip, var, newlb, force, cutoff, &tightened) );
            if( tightened )
            {
               SCIPdebugMsg(scip, "tightened lower bound of variable <%s>[%g,%g] to %g due to probing on <%s> with nlocks=(%d/%d)\n",
                  SCIPvarGetName(var), oldlb, oldub, newlb,
                  SCIPvarGetName(probingvar), SCIPvarGetNLocksDownType(probingvar, SCIP_LOCKTYPE_MODEL),
                  SCIPvarGetNLocksUpType(probingvar, SCIP_LOCKTYPE_MODEL));
               (*nchgbds)++;
            }
            else if( *cutoff )
            {
               SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible new lower bound of variable <%s> to %g\n",
                  SCIPvarGetName(probingvar), SCIPvarGetName(var), newlb);
            }
         }
 
         if( tightenub && !*cutoff )
         {
            /* in both probings, variable j is deduced to be at most newub: tighten upper bound */
            SCIP_CALL( SCIPtightenVarUb(scip, var, newub, force, cutoff, &tightened) );
            if( tightened )
            {
               SCIPdebugMsg(scip, "tightened upper bound of variable <%s>[%g,%g] to %g due to probing on <%s> with nlocks=(%d/%d)\n",
                  SCIPvarGetName(var), oldlb, oldub, newub,
                  SCIPvarGetName(probingvar), SCIPvarGetNLocksDownType(probingvar, SCIP_LOCKTYPE_MODEL),
                  SCIPvarGetNLocksUpType(probingvar, SCIP_LOCKTYPE_MODEL));
               (*nchgbds)++;
            }
            else if( *cutoff )
            {
               SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible new lower bound of variable <%s> to %g\n",
                  SCIPvarGetName(probingvar), SCIPvarGetName(var), newub);
            }
         }
         if( *cutoff )
            break;
      }
 
      /* below we add aggregations and implications between probingvar and var,
       * we don't want this if both variables are the same
       */
      if( var == probingvar )
         continue;
 
      /* check for aggregations and implications */
      if( fixedleft && fixedright &&
          SCIPisEQ(scip, leftproplbs[j], leftpropubs[j]) && SCIPisEQ(scip, rightproplbs[j], rightpropubs[j]) )
      {
         /* var is fixed whenever probingvar is fixed, i.e.,
          *   var = leftproplbs[j] + (rightproplbs[j] - leftproplbs[j]) / (rightlb - leftub) * (probingvar - leftub)
          * -> both variables can be aggregated:
          *    (rightlb - leftub) * (var - leftproplbs[j]) = (rightproplbs[j] - leftproplbs[j]) * (probingvar - leftub)
          * -> (rightlb - leftub) * var - (rightproplbs[j] - leftproplbs[j]) * probingvar = leftproplbs[j] * rightlb - rightproplbs[j] * leftub
          *
          * check for case where both variables are binary: leftub = 1, rightlb = 0
          * case leftproplbs[j] = 0, rightproplbs[j] = 1, i.e., var and probingvar are fixed to same value
          *    -> aggregation is 1 * var - 1 * probingvar = 0 * 1 - 1 * 0 = 0 -> correct
          * case leftproplbs[j] = 1, rightproblbs[j] = 0, i.e., var and probingvar are fixed to opposite values
          *    -> aggregation is 1 * var + 1 * probingvar = 1 * 1 - 0 * 0 = 0 -> correct
          */
         if( SCIPgetStage(scip) == SCIP_STAGE_PRESOLVING )
         {
            SCIP_Bool aggregated;
            SCIP_Bool redundant;
 
            SCIP_CALL( SCIPaggregateVars(scip, var, probingvar,
               rightlb - leftub, -(rightproplbs[j] - leftproplbs[j]), leftproplbs[j] * rightlb - rightproplbs[j] * leftub,
               cutoff, &redundant, &aggregated) );
 
            if( aggregated )
            {
               SCIPdebugMsg(scip, "aggregated variables %g<%s> - %g<%s> == %g, nlocks=(%d/%d)\n",
                  rightlb - leftub, SCIPvarGetName(var),
                  rightproplbs[j] - leftproplbs[j], SCIPvarGetName(probingvar),
                  leftproplbs[j] * rightlb - rightproplbs[j] * leftub,
                  SCIPvarGetNLocksDownType(var, SCIP_LOCKTYPE_MODEL),
                  SCIPvarGetNLocksUpType(probingvar, SCIP_LOCKTYPE_MODEL));
               (*naggrvars)++;
            }
            if( *cutoff )
            {
               SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible aggregation: %g<%s> - %g<%s> == %g\n",
                  SCIPvarGetName(probingvar), rightlb - leftub, SCIPvarGetName(var),
                  rightproplbs[j] - leftproplbs[j], SCIPvarGetName(probingvar),
                  leftproplbs[j] * rightlb - rightproplbs[j] * leftub);
            }
         }
         else if( probingvarisinteger && SCIPnodeGetDepth(SCIPgetCurrentNode(scip)) == 0 )
         {
            /* if we are not in presolving, then we cannot do aggregations
             * but we can use variable bounds to code the same equality
             * var == ((leftproplbs[j] * rightlb - rightproplbs[j] * leftub) + (rightproplbs[j] - leftproplbs[j]) * probingvar) / (rightlb - leftub)
             */
            int nboundchanges;
 
            assert(!SCIPisEQ(scip, leftub, rightlb));
 
            SCIP_CALL( SCIPaddVarVlb(scip, var, probingvar, (rightproplbs[j] - leftproplbs[j]) / (rightlb - leftub), (leftproplbs[j] * rightlb - rightproplbs[j] * leftub) / (rightlb - leftub), cutoff, &nboundchanges) );
            (*nchgbds) += nboundchanges;
 
            if( *cutoff )
            {
               SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible vlb: %g<%s> - %g<%s> == %g\n",
                  SCIPvarGetName(probingvar), rightlb - leftub, SCIPvarGetName(var),
                  rightproplbs[j] - leftproplbs[j], SCIPvarGetName(probingvar),
                  leftproplbs[j] * rightlb - rightproplbs[j] * leftub);
            }
            else
            {
               SCIP_CALL( SCIPaddVarVub(scip, var, probingvar, (rightproplbs[j] - leftproplbs[j]) / (rightlb - leftub), (leftproplbs[j] * rightlb - rightproplbs[j] * leftub) / (rightlb - leftub), cutoff, &nboundchanges) );
               (*nchgbds) += nboundchanges;
 
               if( *cutoff )
               {
                  SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible vub: %g<%s> - %g<%s> == %g\n",
                     SCIPvarGetName(probingvar), rightlb - leftub, SCIPvarGetName(var),
                     rightproplbs[j] - leftproplbs[j], SCIPvarGetName(probingvar),
                     leftproplbs[j] * rightlb - rightproplbs[j] * leftub);
               }
            }
            (*nimplications)++;
         }
         /* if probingvar is continuous and we are in solving stage, then we do nothing, but it's unlikely that we get
          * here (fixedleft && fixedright) with a continuous variable
          */
      }
      /* @todo: check if we can add variable lowerbounds/upperbounds on integer variables */
      /* can only add implications on binary variables which are globally valid */
      else if( probingvarisbinary && (SCIPgetStage(scip) != SCIP_STAGE_SOLVING || SCIPnodeGetDepth(SCIPgetCurrentNode(scip)) == 0) )
      {
         /* implications can be added only for binary variables */
         int nboundchanges;
 
         /* since probing var is binary variable, probing should have fixed variable in both branches,
          * which is to 0.0 in the left branch and to 1.0 in the right branch */
         assert(fixedleft);
         assert(fixedright);
         assert(SCIPisZero(scip, leftub));
         assert(SCIPisEQ(scip, rightlb, 1.0));
 
         if( SCIPisEQ(scip, newlb, leftpropubs[j]) && (leftimplubs == NULL || leftimplubs[j] > leftpropubs[j]) )
         {
            /* var is fixed to lower bound whenever probingvar is fixed to 0.0
             * and implication is not already known
             * -> insert implication: probingvar == 0  =>  var <= leftpropubs[j]
             */
            /*SCIPdebugMsg(scip, "found implication <%s> == 0  =>  <%s> == %g\n",
              SCIPvarGetName(probingvar), SCIPvarGetName(var), leftpropubs[j]);*/
            SCIP_CALL( SCIPaddVarImplication(scip, probingvar, FALSE, var, SCIP_BOUNDTYPE_UPPER, leftpropubs[j],
               cutoff, &nboundchanges) );
            (*nimplications)++;
            (*nchgbds) += nboundchanges;
 
            if( *cutoff )
            {
               SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible implication <%s> == 0  =>  <%s> == %g\n",
                  SCIPvarGetName(probingvar), SCIPvarGetName(probingvar), SCIPvarGetName(var), leftpropubs[j]);
            }
         }
         else if( SCIPisEQ(scip, newub, leftproplbs[j]) && (leftimpllbs == NULL || leftimpllbs[j] < leftproplbs[j]) )
         {
            /* var is fixed to upper bound whenever probingvar is fixed to 0.0
             * and implication is not already known
             * -> insert implication: probingvar == 0  =>  var >= leftproplbs[j]
             */
            /*SCIPdebugMsg(scip, "found implication <%s> == 0  =>  <%s> == %g\n",
              SCIPvarGetName(probingvar), SCIPvarGetName(var), leftproplbs[j]);*/
            SCIP_CALL( SCIPaddVarImplication(scip, probingvar, FALSE, var, SCIP_BOUNDTYPE_LOWER, leftproplbs[j],
               cutoff, &nboundchanges) );
            (*nimplications)++;
            (*nchgbds) += nboundchanges;
 
            if( *cutoff )
            {
               SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible implication <%s> == 0  =>  <%s> == %g\n",
                  SCIPvarGetName(probingvar), SCIPvarGetName(probingvar), SCIPvarGetName(var), leftproplbs[j]);
            }
         }
         /* we can do an else here, since the case where var is fixed for both fixings of probingvar had been handled as aggregation */
         else if( SCIPisEQ(scip, newlb, rightpropubs[j]) && (rightimplubs == NULL || rightimplubs[j] > rightpropubs[j]) )
         {
            /* var is fixed to lower bound whenever probingvar is fixed to 1.0
             * and implication is not already known
             * -> insert implication: probingvar == 1  =>  var <= rightpropubs[j]
             */
            /*SCIPdebugMsg(scip, "found implication <%s> == 1  =>  <%s> == %g\n",
              SCIPvarGetName(probingvar), SCIPvarGetName(var), rightpropubs[j]);*/
            SCIP_CALL( SCIPaddVarImplication(scip, probingvar, TRUE, var, SCIP_BOUNDTYPE_UPPER, rightpropubs[j],
               cutoff, &nboundchanges) );
            (*nimplications)++;
            (*nchgbds) += nboundchanges;
 
            if( *cutoff )
            {
               SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible implication <%s> == 1  =>  <%s> == %g\n",
                  SCIPvarGetName(probingvar), SCIPvarGetName(probingvar), SCIPvarGetName(var), rightpropubs[j]);
            }
         }
         else if( SCIPisEQ(scip, newub, rightproplbs[j]) && (rightimpllbs == NULL || rightimpllbs[j] < rightproplbs[j]) )
         {
            /* var is fixed to upper bound whenever probingvar is fixed to 1.0
             * and implication is not already known
             * -> insert implication: probingvar == 1  =>  var >= leftproplbs[j]
             */
            /*SCIPdebugMsg(scip, "found implication <%s> == 1  =>  <%s> == %g\n",
              SCIPvarGetName(probingvar), SCIPvarGetName(var), rightproplbs[j]);*/
            SCIP_CALL( SCIPaddVarImplication(scip, probingvar, TRUE, var, SCIP_BOUNDTYPE_LOWER, rightproplbs[j],
               cutoff, &nboundchanges) );
            (*nimplications)++;
            (*nchgbds) += nboundchanges;
 
            if( *cutoff )
            {
               SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible implication <%s> == 1  =>  <%s> == %g\n",
                  SCIPvarGetName(probingvar), SCIPvarGetName(probingvar), SCIPvarGetName(var), rightproplbs[j]);
            }
         }
         else if( SCIPvarGetType(var) != SCIP_VARTYPE_BINARY || SCIPvarIsImpliedIntegral(var) )
         {
            /* check for implications for lower or upper bounds (only store implications with bounds tightened at least by 0.5)
             * in case of binary variables, this should have been handled in the previous cases, since every boundchange also fixes the variable
             */
            if( leftpropubs[j] < newub - 0.5 && (leftimplubs == NULL || leftpropubs[j] < leftimplubs[j]) )
            {
               /* insert implication: probingvar == 0  =>  var <= leftpropubs[j] */
               /*SCIPdebugMsg(scip, "found implication <%s> == 0  =>  <%s>[%g,%g] <= %g\n",
                 SCIPvarGetName(probingvar), SCIPvarGetName(var), newlb, newub, leftpropubs[j]);*/
               SCIP_CALL( SCIPaddVarImplication(scip, probingvar, FALSE, var, SCIP_BOUNDTYPE_UPPER, leftpropubs[j],
                     cutoff, &nboundchanges) );
               (*nimplications)++;
               (*nchgbds) += nboundchanges;
 
               if( *cutoff )
               {
                  SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible implication <%s> == 0  =>  <%s> <= %g\n",
                     SCIPvarGetName(probingvar), SCIPvarGetName(probingvar), SCIPvarGetName(var), leftpropubs[j]);
               }
            }
            if( leftproplbs[j] > newlb + 0.5 && (leftimpllbs == NULL || leftproplbs[j] > leftimpllbs[j]) && !*cutoff )
            {
               /* insert implication: probingvar == 0  =>  var >= leftproplbs[j] */
               /*SCIPdebugMsg(scip, "found implication <%s> == 0  =>  <%s>[%g,%g] >= %g\n",
                 SCIPvarGetName(probingvar), SCIPvarGetName(var), newlb, newub, leftproplbs[j]);*/
               SCIP_CALL( SCIPaddVarImplication(scip, probingvar, FALSE, var, SCIP_BOUNDTYPE_LOWER, leftproplbs[j],
                     cutoff, &nboundchanges) );
               (*nimplications)++;
               (*nchgbds) += nboundchanges;
 
               if( *cutoff )
               {
                  SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible implication <%s> == 0  =>  <%s> >= %g\n",
                     SCIPvarGetName(probingvar), SCIPvarGetName(probingvar), SCIPvarGetName(var), leftproplbs[j]);
               }
            }
            if( rightpropubs[j] < newub - 0.5 && (rightimplubs == NULL || rightpropubs[j] < rightimplubs[j]) && !*cutoff )
            {
               /* insert implication: probingvar == 1  =>  var <= rightpropubs[j] */
               /*SCIPdebugMsg(scip, "found implication <%s> == 1  =>  <%s>[%g,%g] <= %g\n",
                 SCIPvarGetName(probingvar), SCIPvarGetName(var), newlb, newub, rightpropubs[j]);*/
               SCIP_CALL( SCIPaddVarImplication(scip, probingvar, TRUE, var, SCIP_BOUNDTYPE_UPPER, rightpropubs[j],
                     cutoff, &nboundchanges) );
               (*nimplications)++;
               (*nchgbds) += nboundchanges;
 
               if( *cutoff )
               {
                  SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible implication <%s> == 1  =>  <%s> <= %g\n",
                     SCIPvarGetName(probingvar), SCIPvarGetName(probingvar), SCIPvarGetName(var), rightpropubs[j]);
               }
            }
            if( rightproplbs[j] > newlb + 0.5 && (rightimpllbs == NULL || rightproplbs[j] > rightimpllbs[j]) && !*cutoff )
            {
               /* insert implication: probingvar == 1  =>  var >= rightproplbs[j] */
               /*SCIPdebugMsg(scip, "found implication <%s> == 1  =>  <%s>[%g,%g] >= %g\n",
                 SCIPvarGetName(probingvar), SCIPvarGetName(var), newlb, newub, rightproplbs[j]);*/
               SCIP_CALL( SCIPaddVarImplication(scip, probingvar, TRUE, var, SCIP_BOUNDTYPE_LOWER, rightproplbs[j],
                     cutoff, &nboundchanges) );
               (*nimplications)++;
               (*nchgbds) += nboundchanges;
 
               if( *cutoff )
               {
                  SCIPdebugMsg(scip, "analyzing probing deduction of <%s> led to an infeasible implication <%s> == 1  =>  <%s> <= %g\n",
                     SCIPvarGetName(probingvar), SCIPvarGetName(probingvar), SCIPvarGetName(var), rightproplbs[j]);
               }
            }
         }
      }
   }
 
   return SCIP_OKAY;
}