sepa_zerohalf.c

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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
/*                                                                           */
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/*         SCIP --- Solving Constraint Integer Programs                      */
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/*  Copyright (c) 2002-2026 Zuse Institute Berlin (ZIB)                      */
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
 
/**@file   sepa_zerohalf.c
 * @ingroup DEFPLUGINS_SEPA
 * @brief  {0,1/2}-cuts separator
 * @author Leona Gottwald
 * @author Manuel Kutschka
 * @author Kati Wolter
 *
 * {0,1/2}-Chvátal-Gomory cuts separator. It solves the following separation problem:
 * Consider an integer program
 * \f[
 * \min \{ c^T x : Ax \leq b, x \geq 0, x \mbox{ integer} \}
 * \f]
 * and a fractional solution \f$x^*\f$ of its LP relaxation.  Find a weightvector \f$u\f$ whose entries \f$u_i\f$ are either 0 or
 * \f$\frac{1}{2}\f$ such that the following inequality is valid for all integral solutions and violated by \f$x^*\f$:
 * \f[
 * \lfloor(u^T A) x \rfloor \leq \lfloor u^T b\rfloor
 * \f]
 *
 * References:
 * - Alberto Caprara, Matteo Fischetti. {0,1/2}-Chvatal-Gomory cuts. Math. Programming, Volume 74, p221--235, 1996.
 * - Arie M. C. A. Koster, Adrian Zymolka and Manuel Kutschka. \n
 *   Algorithms to separate {0,1/2}-Chvatal-Gomory cuts.
 *   Algorithms - ESA 2007: 15th Annual European Symposium, Eilat, Israel, October 8-10, 2007, \n
 *   Proceedings. Lecture Notes in Computer Science, Volume 4698, p. 693--704, 2007.
 * - Arie M. C. A. Koster, Adrian Zymolka and Manuel Kutschka. \n
 *   Algorithms to separate {0,1/2}-Chvatal-Gomory cuts (Extended Version). \n
 *   ZIB Report 07-10, Zuse Institute Berlin, 2007. http://www.zib.de/Publications/Reports/ZR-07-10.pdf
 * - Manuel Kutschka. Algorithmen zur Separierung von {0,1/2}-Schnitten. Diplomarbeit. Technische Universitaet Berlin, 2007.
 */
 
/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
 
#include "scip/sepa_zerohalf.h"
#include "scip/scipdefplugins.h"
#include "scip/cutsel_hybrid.h"
 
#define SEPA_NAME              "zerohalf"
#define SEPA_DESC              "{0,1/2}-cuts separator"
#define SEPA_PRIORITY             -6000
#define SEPA_FREQ                    10
#define SEPA_MAXBOUNDDIST           1.0
#define SEPA_USESSUBSCIP          FALSE
#define SEPA_DELAY                FALSE
 
#define DEFAULT_MAXROUNDS             5 /**< maximal number of zerohalf separation rounds per node (-1: unlimited) */
#define DEFAULT_MAXROUNDSROOT        20 /**< maximal number of zerohalf separation rounds in the root node (-1: unlimited) */
#define DEFAULT_MAXSEPACUTS          20 /**< maximal number of zerohalf cuts separated per separation round */
#define DEFAULT_MAXSEPACUTSROOT     100 /**< maximal number of zerohalf cuts separated per separation round in root node */
#define DEFAULT_MAXCUTCANDS        2000 /**< maximal number of zerohalf cuts considered per separation round */
#define DEFAULT_MAXSLACK            0.0 /**< maximal slack of rows to be used in aggregation */
#define DEFAULT_MAXSLACKROOT        0.0 /**< maximal slack of rows to be used in aggregation in the root node */
#define DEFAULT_GOODSCORE           1.0 /**< threshold for score of cut relative to best score to be considered good,
                                         *   so that less strict filtering is applied */
#define DEFAULT_BADSCORE            0.5 /**< threshold for score of cut relative to best score to be discarded */
#define DEFAULT_MINVIOL             0.1 /**< minimal violation to generate zerohalfcut for */
#define DEFAULT_DYNAMICCUTS        TRUE /**< should generated cuts be removed from the LP if they are no longer tight? */
#define DEFAULT_MAXROWDENSITY      0.05 /**< maximal density of row to be used in aggregation */
#define DEFAULT_DENSITYOFFSET       100 /**< additional number of variables allowed in row on top of density */
#define DEFAULT_INITSEED         0x5EED /**< default initial seed used for random tie-breaking in cut selection */
#define DEFAULT_OBJPARALWEIGHT      0.0 /**< weight of objective parallelism in cut score calculation */
#define DEFAULT_EFFICACYWEIGHT      1.0 /**< weight of efficacy in cut score calculation */
#define DEFAULT_DIRCUTOFFDISTWEIGHT 0.0 /**< weight of directed cutoff distance in cut score calculation */
#define DEFAULT_GOODMAXPARALL       0.1 /**< maximum parallelism for good cuts */
#define DEFAULT_MAXPARALL           0.1 /**< maximum parallelism for non-good cuts */
 
/* SCIPcalcRowIntegralScalar parameters */
#define MAXDNOM                  1000LL
#define MAXSCALE                 1000.0
 
/* other defines */
#define MAXREDUCTIONROUNDS          100 /**< maximum number of rounds to perform reductions on the mod 2 system */
#define BOUNDSWITCH                 0.5 /**< threshold for bound switching */
#define MAXAGGRLEN(nvars)           ((int)(0.1*(nvars)+1000))
 
typedef struct Mod2Col MOD2_COL;
typedef struct Mod2Row MOD2_ROW;
typedef struct Mod2Matrix MOD2_MATRIX;
typedef struct TransIntRow TRANSINTROW;
typedef struct RowIndex ROWINDEX;
 
/** enum for different types of row indices in ROWINDEX structure */
 
#define ROWIND_TYPE unsigned int
#define ORIG_RHS    0u
#define ORIG_LHS    1u
#define TRANSROW    2u
 
/* macro to get a unique index from the rowindex */
#define UNIQUE_INDEX(rowind) (3*(rowind).index + (rowind).type)
 
struct RowIndex
{
   unsigned int          type:2;             /**< type of row index; 0 means lp row using the right hand side,
                                              *   1 means lp row using the left hand side, and 2 means a
                                              *   transformed integral row */
   unsigned int          index:30;           /**< lp position of original row, or index of transformed integral row */
};
 
/** structure containing a transformed integral row obtained by relaxing an lp row */
struct TransIntRow
{
   SCIP_Real             slack;              /**< slack of row after transformation */
   SCIP_Real             rhs;                /**< right hand side value of integral row after transformation */
   SCIP_Real*            vals;               /**< values of row */
   int*                  varinds;            /**< problem variable indices of row */
   int                   size;               /**< alloc size of row */
   int                   len;                /**< length of row */
   int                   rank;               /**< rank of row */
   SCIP_Bool             local;              /**< is row local? */
};
 
/** structure representing a row in the mod 2 system */
struct Mod2Row
{
   ROWINDEX*             rowinds;            /**< index set of rows associated with the mod 2 row */
   MOD2_COL**            nonzcols;           /**< sorted array of non-zero mod 2 columns in this mod 2 row */
   SCIP_Real             slack;              /**< slack of mod 2 row */
   SCIP_Real             maxsolval;          /**< maximum solution value of columns in mod 2 row */
   int                   index;              /**< unique index of mod 2 row */
   int                   pos;                /**< position of mod 2 row in mod 2 matrix rows array */
   int                   rhs;                /**< rhs of row */
   int                   nrowinds;           /**< number of elements in rowinds */
   int                   rowindssize;        /**< size of rowinds array */
   int                   nnonzcols;          /**< number of columns in nonzcols */
   int                   nonzcolssize;       /**< size of nonzcols array */
};
 
/** structure representing a column in the mod 2 system */
struct Mod2Col
{
   SCIP_HASHSET*         nonzrows;           /**< the set of rows that contain this column */
   SCIP_Real             solval;             /**< solution value of the column */
   int                   pos;                /**< position of column in matrix */
   int                   index;              /**< index of SCIP column associated to this column */
};
 
/** matrix representing the modulo 2 system */
struct Mod2Matrix
{
   MOD2_COL**            cols;               /**< columns of the matrix */
   MOD2_ROW**            rows;               /**< rows of the matrix */
   TRANSINTROW*          transintrows;       /**< transformed integral rows obtained from non-integral lp rows */
   int                   ntransintrows;      /**< number of transformed integral rows obtained from non-integral lp rows */
   int                   nzeroslackrows;     /**< number of rows with zero slack */
   int                   nrows;              /**< number of rows of the matrix; number of elements in rows */
   int                   ncols;              /**< number of cols of the matrix; number of elements in cols */
   int                   rowssize;           /**< length of rows array */
   int                   colssize;           /**< length of cols array */
};
 
/** data of separator */
struct SCIP_SepaData
{
   SCIP_RANDNUMGEN*      randnumgen;         /**< random generator for tiebreaking */
   SCIP_AGGRROW*         aggrrow;            /**< aggregation row used for generating cuts */
   SCIP_ROW**            cuts;               /**< generated in the current call */
   SCIP_Real             minviol;            /**< minimal violation to generate zerohalfcut for */
   SCIP_Real             maxslack;           /**< maximal slack of rows to be used in aggregation */
   SCIP_Real             maxslackroot;       /**< maximal slack of rows to be used in aggregation in the root node */
   SCIP_Real             maxrowdensity;      /**< maximal density of row to be used in aggregation */
   SCIP_Real             goodscore;          /**< threshold for score of cut relative to best score to be considered good,
                                              *   so that less strict filtering is applied */
   SCIP_Real             badscore;           /**< threshold for score of cut relative to best score to be discarded */
   SCIP_Real             objparalweight;     /**< weight of objective parallelism in cut score calculation */
   SCIP_Real             efficacyweight;     /**< weight of efficacy in cut score calculation */
   SCIP_Real             dircutoffdistweight;/**< weight of directed cutoff distance in cut score calculation */
   SCIP_Real             goodmaxparall;      /**< maximum parallelism for good cuts */
   SCIP_Real             maxparall;          /**< maximum parallelism for non-good cuts */
   SCIP_Bool             infeasible;         /**< infeasibility was detected after adding a zerohalf cut */
   SCIP_Bool             dynamiccuts;        /**< should generated cuts be removed from the LP if they are no longer tight? */
   int                   maxrounds;          /**< maximal number of zerohalf separation rounds per node (-1: unlimited) */
   int                   maxroundsroot;      /**< maximal number of zerohalf separation rounds in the root node (-1: unlimited) */
   int                   maxsepacuts;        /**< maximal number of zerohalf cuts separated per separation round */
   int                   maxsepacutsroot;    /**< maximal number of zerohalf cuts separated per separation round in root node */
   int                   maxcutcands;        /**< maximal number of zerohalf cuts considered per separation round */
   int                   densityoffset;      /**< additional number of variables allowed in row on top of density */
   int                   initseed;           /**< initial seed used for random tie-breaking in cut selection */
   int                   cutssize;           /**< size of cuts and cutscores arrays */
   int                   ncuts;              /**< number of cuts generated in the current call */
   int                   nreductions;        /**< number of reductions to the mod 2 system found so far */
};
 
 
#define COLINFO_GET_MOD2COL(x) ((MOD2_COL*)  (((uintptr_t)(x)) & ~((uintptr_t)1)))
#define COLINFO_GET_RHSOFFSET(x) ((int)  (((uintptr_t)(x)) & ((uintptr_t)1)))
#define COLINFO_CREATE(mod2col, rhsoffset)  ((void*) (((uintptr_t)(mod2col)) | ((uintptr_t)(rhsoffset))))
 
 
#ifndef NDEBUG
static
void checkRow(MOD2_ROW* row)
{
   int i;
   SCIP_Real maxsolval = 0.0;
 
   for( i = 0; i < row->nnonzcols; ++i )
   {
      assert(row->nonzcols[i]->solval > 0.0);
      maxsolval = MAX(maxsolval, row->nonzcols[i]->solval);
 
      if( i + 1 < row->nnonzcols )
         assert(row->nonzcols[i]->index < row->nonzcols[i+1]->index);
   }
 
   assert(row->maxsolval == maxsolval); /*lint !e777*/
}
#else
#define checkRow(x)
#endif
 
/** compare to mod 2 columns by there index */
static
SCIP_DECL_SORTPTRCOMP(compareColIndex)
{
   MOD2_COL* col1;
   MOD2_COL* col2;
 
   col1 = (MOD2_COL*) elem1;
   col2 = (MOD2_COL*) elem2;
 
   if( col1->index < col2->index )
      return -1;
   if( col2->index < col1->index )
      return 1;
 
   return 0;
}
 
/** comparison function for slack of mod 2 rows */
static
SCIP_DECL_SORTPTRCOMP(compareRowSlack)
{
   MOD2_ROW* row1;
   MOD2_ROW* row2;
   SCIP_Bool slack1iszero;
   SCIP_Bool slack2iszero;
 
   row1 = (MOD2_ROW*) elem1;
   row2 = (MOD2_ROW*) elem2;
 
   slack1iszero = EPSZ(row1->slack, SCIP_DEFAULT_EPSILON);
   slack2iszero = EPSZ(row2->slack, SCIP_DEFAULT_EPSILON);
 
   /* zero slack comes first */
   if( slack1iszero && !slack2iszero )
      return -1;
   if( slack2iszero && !slack1iszero )
      return 1;
   if( !slack1iszero && !slack2iszero )
      return 0;
 
   /* prefer rows that contain columns with large solution value */
   if( row1->maxsolval > row2->maxsolval )
      return -1;
   if( row2->maxsolval > row1->maxsolval )
      return 1;
 
   /* rows with less non-zeros come first rows */
   if( row1->nnonzcols < row2->nnonzcols )
      return -1;
   if( row2->nnonzcols < row1->nnonzcols )
      return 1;
 
   return 0;
}
 
/** take integral real value modulo 2 */
static
int mod2(
   SCIP*                 scip,               /**< scip data structure */
   SCIP_Real             val                 /**< value to take mod 2 */
)
{
   assert(SCIPisFeasIntegral(scip, val));
   val *= 0.5;
   return (REALABS(SCIPround(scip, val) - val) > 0.1) ? 1 : 0;
}
 
/** returns the integral value for the given scaling parameters, see SCIPcalcIntegralScalar() */
static
void getIntegralScalar(
   SCIP_Real             val,                /**< value that should be scaled to an integral value */
   SCIP_Real             scalar,             /**< scalar that should be tried */
   SCIP_Real             mindelta,           /**< minimal relative allowed difference of scaled coefficient s*c and integral i */
   SCIP_Real             maxdelta,           /**< maximal relative allowed difference of scaled coefficient s*c and integral i */
   SCIP_Real*            sval,               /**< pointer to store the scaled value */
   SCIP_Real*            intval              /**< pointer to store the scaled integral value */
   )
{
   SCIP_Real upviol;
   SCIP_Real downviol;
   SCIP_Real downval;
   SCIP_Real upval;
 
   assert(mindelta <= 0.0);
   assert(maxdelta >= 0.0);
 
   *sval = val * scalar;
   downval = floor(*sval);
   upval = ceil(*sval);
 
   downviol = SCIPrelDiff(*sval, downval) - maxdelta;
   upviol = mindelta - SCIPrelDiff(*sval, upval);
 
   if( downviol < upviol )
      *intval = downval;
   else
      *intval = upval;
}
 
/** Tries to transform a non-integral row into an integral row that can be used in zerohalf separation */
static
SCIP_RETCODE transformNonIntegralRow(
   SCIP*                 scip,               /**< scip data structure */
   SCIP_SOL*             sol,                /**< solution to separate, or NULL for LP solution */
   SCIP_Bool             allowlocal,         /**< should local cuts be allowed */
   SCIP_Real             maxslack,           /**< maximum slack allowed for transformed row */
   int                   sign,               /**< +1 or -1 scale to select the side of the row */
   SCIP_Bool             local,              /**< is the row only valid locally? */
   int                   rank,               /**< rank of row */
   int                   rowlen,             /**< length of row */
   SCIP_Real*            rowvals,            /**< coefficients of columns in row */
   SCIP_COL**            rowcols,            /**< columns of row */
   SCIP_Real             rhs,                /**< right hand side of row */
   int*                  intvarpos,          /**< clean buffer array of size SCIPgetNVars that will be clean when the function returns */
   TRANSINTROW*          introw,             /**< pointer to return transformed row */
   SCIP_Bool*            success             /**< pointer to return whether the transformation succeeded */
   )
{
   int i;
   int transrowlen;
   SCIP_Real transrowrhs;
   int* transrowvars;
   SCIP_Real* transrowvals;
 
   assert(scip != NULL);
   assert(sign == +1 || sign == -1);
   assert(rowvals != NULL || rowlen == 0);
   assert(rowcols != NULL || rowlen == 0);
   assert(intvarpos != NULL);
   assert(introw != NULL);
   assert(success != NULL);
 
   SCIP_CALL( SCIPallocBlockMemoryArray(scip, &transrowvars, rowlen) );
   SCIP_CALL( SCIPallocBlockMemoryArray(scip, &transrowvals, rowlen) );
   transrowlen = 0;
   transrowrhs = rhs;
 
   /* first add all integral variables to the transformed row and remember their positions in the row */
   for( i = 0; i < rowlen; ++i )
   {
      int probindex;
 
      if( !SCIPcolIsIntegral(rowcols[i]) )  /*lint !e613*/
         continue;
 
      probindex = SCIPcolGetVarProbindex(rowcols[i]);
      transrowvars[transrowlen] = probindex;
      transrowvals[transrowlen] = sign * rowvals[i];
      intvarpos[probindex] = ++transrowlen;
   }
 
   /* now loop over the non-integral columns of the row and project them out using simple or variable bounds */
   *success = TRUE;
 
   for( i = 0; i < rowlen; ++i )
   {
      int closestvbdind;
      SCIP_Real closestbound;
      SCIP_VAR* vbdvar;
      SCIP_Real vbdcoef;
      SCIP_Real vbdconst;
      SCIP_VAR* colvar;
      SCIP_Real val;
      SCIP_Real closestvbd;
      SCIP_Bool localbound;
 
      if( SCIPcolIsIntegral(rowcols[i]) ) /*lint !e613*/
         continue;
 
      localbound = FALSE;
 
      colvar = SCIPcolGetVar(rowcols[i]); /*lint !e613*/
 
      val = sign * rowvals[i]; /*lint !e613*/
 
      /* if the value is positive we need to use a lower bound constraint */
      if( val > 0.0 )
      {
         /* retrieve simple variable bound */
         closestbound = SCIPvarGetLbGlobal(colvar);
         if( allowlocal && SCIPisSumGT(scip, SCIPvarGetLbLocal(colvar), closestbound) )
         {
            /* only use local bound if it is better thatn the global bound */
            closestbound = SCIPvarGetLbLocal(colvar);
            localbound = TRUE;
         }
 
         /* retrieve closest variable bound */
         SCIP_CALL( SCIPgetVarClosestVlb(scip, colvar, NULL, &closestvbd, &closestvbdind) );
 
         /* if a suitable variable bound exists which is at least as good as a local simple bound
          * or better than a global simple bound we use it
          */
         if( closestvbdind >= 0 && (SCIPisGT(scip, closestvbd, closestbound) || (localbound && SCIPisSumEQ(scip, closestvbd, closestbound))) )
         {
            vbdcoef = SCIPvarGetVlbCoefs(colvar)[closestvbdind];
            vbdvar = SCIPvarGetVlbVars(colvar)[closestvbdind];
            vbdconst = SCIPvarGetVlbConstants(colvar)[closestvbdind];
            closestbound = closestvbd;
         }
         else
         {
            closestvbdind = -1;
         }
      }
      else
      {
         /* retrieve simple variable bound */
         closestbound = SCIPvarGetUbGlobal(colvar);
         if( allowlocal && SCIPisSumLT(scip, SCIPvarGetUbLocal(colvar), closestbound) )
         {
            closestbound = SCIPvarGetUbLocal(colvar);
            localbound = TRUE;
         }
 
         /* retrieve closest variable bound */
         SCIP_CALL( SCIPgetVarClosestVub(scip, colvar, NULL, &closestvbd, &closestvbdind) );
 
         /* if a suitable variable bound exists which is at least as good as a local simple bound
          * or better than a global simple bound we use it
          */
         if( closestvbdind >= 0 && (SCIPisLT(scip, closestvbd, closestbound) || (localbound && SCIPisSumEQ(scip, closestvbd, closestbound))) )
         {
            vbdcoef = SCIPvarGetVubCoefs(colvar)[closestvbdind];
            vbdvar = SCIPvarGetVubVars(colvar)[closestvbdind];
            vbdconst = SCIPvarGetVubConstants(colvar)[closestvbdind];
            closestbound = closestvbd;
         }
         else
         {
            closestvbdind = -1;
         }
      }
 
      if( closestvbdind >= 0 )
      {
         SCIP_Real coef;
         int pos;
 
         coef = val * vbdcoef; /*lint !e644*/
         transrowrhs -= val * vbdconst; /*lint !e644*/
 
         pos = intvarpos[SCIPvarGetProbindex(vbdvar)] - 1; /*lint !e644*/
         if( pos >= 0 )
         {
            transrowvals[pos] += coef;
         }
         else
         {
            transrowvars[transrowlen] = SCIPvarGetProbindex(vbdvar);
            transrowvals[transrowlen] = coef;
            intvarpos[SCIPvarGetProbindex(vbdvar)] = ++transrowlen;
         }
      }
      else if( !SCIPisInfinity(scip, REALABS(closestbound)) )
      {
         local = local || localbound;
         transrowrhs -= val * closestbound;
      }
      else
      {
         *success = FALSE;
         break;
      }
   }
 
   for( i = 0; i < transrowlen;)
   {
      intvarpos[transrowvars[i]] = 0;
      if( SCIPisZero(scip, transrowvals[i]) )
      {
         --transrowlen;
         transrowvals[i] = transrowvals[transrowlen];
         transrowvars[i] = transrowvars[transrowlen];
      }
      else
         ++i;
   }
 
   if( transrowlen <= 1 )
      *success = FALSE;
 
   if( *success )
   {
      SCIP_Real mindelta;
      SCIP_Real maxdelta;
      SCIP_Real intscalar;
      int nchgcoefs;
 
      SCIP_VAR** vars = SCIPgetVars(scip);
 
      *success = ! SCIPcutsTightenCoefficients(scip, local, transrowvals, &transrowrhs, transrowvars, &transrowlen, &nchgcoefs);
 
      mindelta = -SCIPepsilon(scip);
      maxdelta = SCIPsumepsilon(scip);
 
      if( *success )
      {
         SCIP_CALL( SCIPcalcIntegralScalar(transrowvals, transrowlen, mindelta, maxdelta, MAXDNOM, MAXSCALE, &intscalar, success) );
 
         if( *success )
         {
            SCIP_Real floorrhs;
            SCIP_Real slack;
 
            transrowrhs *= intscalar; /*lint !e644*/
 
            /* slack is initialized to zero since the transrowrhs can still change due to bound usage in the loop below;
             * the floored right hand side is then added afterwards
             */
            slack = 0.0;
            for( i = 0; i < transrowlen; ++i )
            {
               SCIP_Real solval = SCIPgetSolVal(scip, sol, vars[transrowvars[i]]);
               SCIP_Real intval;
               SCIP_Real newval;
 
               getIntegralScalar(transrowvals[i], intscalar, mindelta, maxdelta, &newval, &intval);
 
               if( !SCIPisEQ(scip, intval, newval) )
               {
                  if( intval < newval )
                  {
                     SCIP_Real lb = local ? SCIPvarGetLbLocal(vars[transrowvars[i]]) : SCIPvarGetLbGlobal(vars[transrowvars[i]]);
 
                     if( SCIPisInfinity(scip, -lb) )
                     {
                        *success = FALSE;
                        break;
                     }
 
                     transrowrhs += (intval - newval) * lb;
                  }
                  else
                  {
                     SCIP_Real ub = local ? SCIPvarGetUbLocal(vars[transrowvars[i]]) : SCIPvarGetUbGlobal(vars[transrowvars[i]]);
 
                     if( SCIPisInfinity(scip, ub) )
                     {
                        *success = FALSE;
                        break;
                     }
 
                     transrowrhs += (intval - newval) * ub;
                  }
               }
 
               slack -= solval * intval;
               transrowvals[i] = intval;
            }
 
            if( *success )
            {
               floorrhs = SCIPfeasFloor(scip, transrowrhs);
               slack += floorrhs;
 
               if( slack <= maxslack )
               {
                  introw->rhs = floorrhs;
                  introw->slack = slack;
                  introw->vals = transrowvals;
                  introw->varinds = transrowvars;
                  introw->len = transrowlen;
                  introw->size = rowlen;
                  introw->local = local;
                  introw->rank = rank;
 
                  if( !SCIPisEQ(scip, floorrhs, transrowrhs) )
                     introw->rank += 1;
               }
               else
               {
                  *success = FALSE;
               }
            }
         }
      }
   }
 
   if( !(*success) )
   {
      SCIPfreeBlockMemoryArray(scip, &transrowvals, rowlen);
      SCIPfreeBlockMemoryArray(scip, &transrowvars, rowlen);
   }
 
   return SCIP_OKAY;
}
 
 
/** Tries to transform non-integral rows into an integral form by using simple and variable bounds */
static
SCIP_RETCODE mod2MatrixTransformContRows(
   SCIP*                 scip,               /**< scip data structure */
   SCIP_SOL*             sol,                /**< solution to separate, or NULL for LP solution */
   SCIP_SEPADATA*        sepadata,           /**< zerohalf separator data */
   MOD2_MATRIX*          mod2matrix,         /**< mod2 matrix structure */
   SCIP_Bool             allowlocal,         /**< should local cuts be allowed */
   SCIP_Real             maxslack            /**< maximum slack allowed for mod 2 rows */
   )
{
   SCIP_ROW** rows;
   int nrows;
   int* intvarpos;
   int i;
   int maxnonzeros;
   SCIP_CALL( SCIPgetLPRowsData(scip, &rows, &nrows) );
   SCIP_CALL( SCIPallocBlockMemoryArray(scip, &mod2matrix->transintrows, 2*nrows) );
   mod2matrix->ntransintrows = 0;
 
   SCIP_CALL( SCIPallocCleanBufferArray(scip, &intvarpos, SCIPgetNVars(scip)) );
 
   maxnonzeros = (int)(SCIPgetNLPCols(scip) * sepadata->maxrowdensity) + sepadata->densityoffset;
 
   for( i = 0; i < nrows; ++i )
   {
      int rowlen;
      SCIP_Real activity;
      SCIP_Real lhs;
      SCIP_Real rhs;
      SCIP_Real lhsslack;
      SCIP_Real rhsslack;
      SCIP_Real* rowvals;
      SCIP_COL** rowcols;
 
      /* skip integral rows and rows not suitable for generating cuts */
      if( SCIProwIsModifiable(rows[i]) || SCIProwIsIntegral(rows[i]) || (SCIProwIsLocal(rows[i]) && !allowlocal) || SCIProwGetNNonz(rows[i]) > maxnonzeros )
         continue;
 
      lhs = SCIProwGetLhs(rows[i]) - SCIProwGetConstant(rows[i]);
      rhs = SCIProwGetRhs(rows[i]) - SCIProwGetConstant(rows[i]);
      activity = SCIPgetRowSolActivity(scip, rows[i], sol) - SCIProwGetConstant(rows[i]);
 
      /* compute lhsslack: activity - lhs */
      if( SCIPisInfinity(scip, -SCIProwGetLhs(rows[i])) )
         lhsslack = SCIPinfinity(scip);
      else
      {
         lhsslack = activity - lhs;
      }
 
      /* compute rhsslack: rhs - activity */
      if( SCIPisInfinity(scip, SCIProwGetRhs(rows[i])) )
         rhsslack = SCIPinfinity(scip);
      else
         rhsslack = rhs - activity;
 
      if( rhsslack > maxslack && lhsslack > maxslack )
         continue;
 
      rowlen = SCIProwGetNLPNonz(rows[i]);
      rowvals = SCIProwGetVals(rows[i]);
      rowcols = SCIProwGetCols(rows[i]);
 
      if( rhsslack <= maxslack )
      {
         SCIP_Bool success;
         TRANSINTROW* introw = &mod2matrix->transintrows[mod2matrix->ntransintrows];
         SCIP_CALL( transformNonIntegralRow(scip, sol, allowlocal, maxslack, 1, SCIProwIsLocal(rows[i]), SCIProwGetRank(rows[i]), \
               rowlen, rowvals, rowcols, rhs, intvarpos, introw, &success) );
 
         assert(success == 1 || success == 0);
         mod2matrix->ntransintrows += (int)success;
      }
 
      if( lhsslack <= maxslack )
      {
         SCIP_Bool success;
         TRANSINTROW* introw = &mod2matrix->transintrows[mod2matrix->ntransintrows];
         SCIP_CALL( transformNonIntegralRow(scip, sol, allowlocal, maxslack, -1, SCIProwIsLocal(rows[i]), SCIProwGetRank(rows[i]), \
               rowlen, rowvals, rowcols, -lhs, intvarpos, introw, &success) );
 
         assert(success == 1 || success == 0);
         mod2matrix->ntransintrows += (int)success;
      }
   }
 
   SCIPfreeCleanBufferArray(scip, &intvarpos);
 
   return SCIP_OKAY;
}
 
 
/** adds new column to the mod 2 matrix */
static
SCIP_RETCODE mod2MatrixAddCol(
   SCIP*                 scip,               /**< SCIP datastructure */
   MOD2_MATRIX*          mod2matrix,         /**< mod 2 matrix */
   SCIP_HASHMAP*         origvar2col,        /**< hash map for mapping of problem variables to mod 2 columns */
   SCIP_VAR*             origvar,            /**< problem variable to create mod 2 column for */
   SCIP_Real             solval,             /**< solution value of problem variable */
   int                   rhsoffset           /**< offset in right hand side due complementation (mod 2) */
   )
{
   MOD2_COL* col;
 
   /* allocate memory */
   SCIP_CALL( SCIPallocBlockMemory(scip, &col) );
 
   /* initialize fields */
   col->pos = mod2matrix->ncols++;
   col->index = SCIPvarGetProbindex(origvar);
   col->solval = solval;
   SCIP_CALL( SCIPhashsetCreate(&col->nonzrows, SCIPblkmem(scip), 1) );
 
   /* add column to mod 2 matrix */
   SCIP_CALL( SCIPensureBlockMemoryArray(scip, &mod2matrix->cols, &mod2matrix->colssize, mod2matrix->ncols) );
   mod2matrix->cols[col->pos] = col;
 
   /* create mapping of problem variable to mod 2 column with its right hand side offset */
   assert(rhsoffset >= 0);
   SCIP_CALL( SCIPhashmapInsert(origvar2col, (void*) origvar, COLINFO_CREATE(col, rhsoffset)) ); /*lint !e571*/
 
   return SCIP_OKAY;
}
 
/** links row to mod 2 column */
static
SCIP_RETCODE mod2colLinkRow(
   BMS_BLKMEM*           blkmem,             /**< block memory shell */
   MOD2_COL*             col,                /**< mod 2 column */
   MOD2_ROW*             row                 /**< mod 2 row */
   )
{
   SCIP_CALL( SCIPhashsetInsert(col->nonzrows, blkmem, (void*)row) );
 
   assert(SCIPhashsetExists(col->nonzrows, (void*)row));
 
   row->maxsolval = MAX(col->solval, row->maxsolval);
 
   return SCIP_OKAY;
}
 
/** unlinks row from mod 2 column */
static
SCIP_RETCODE mod2colUnlinkRow(
   MOD2_COL*             col,                /**< mod 2 column */
   MOD2_ROW*             row                 /**< mod 2 row */
   )
{
   SCIP_CALL( SCIPhashsetRemove(col->nonzrows, (void*)row) );
 
   assert(!SCIPhashsetExists(col->nonzrows, (void*)row));
#ifndef NDEBUG
   {
      int nslots = SCIPhashsetGetNSlots(col->nonzrows);
      MOD2_ROW** rows = (MOD2_ROW**) SCIPhashsetGetSlots(col->nonzrows);
      int i;
 
      for( i = 0; i < nslots; ++i )
      {
         assert(rows[i] != row);
      }
   }
#endif
 
   return SCIP_OKAY;
}
 
/** unlinks row from mod 2 column */
static
void mod2rowUnlinkCol(
   MOD2_ROW*             row                 /**< mod 2 row */,
   MOD2_COL*             col                 /**< mod 2 column */
   )
{
   int i;
 
   assert(row->nnonzcols == 0 || row->nonzcols != NULL);
 
   SCIP_UNUSED( SCIPsortedvecFindPtr((void**) row->nonzcols, compareColIndex, col, row->nnonzcols, &i) );
   assert(row->nonzcols[i] == col);
 
   --row->nnonzcols;
   BMSmoveMemoryArray(row->nonzcols + i, row->nonzcols + i + 1, row->nnonzcols - i); /*lint !e866*/
 
   if( col->solval >= row->maxsolval )
   {
      row->maxsolval = 0.0;
      for( i = 0; i < row->nnonzcols; ++i )
      {
         row->maxsolval = MAX(row->nonzcols[i]->solval, row->maxsolval);
      }
   }
}
 
/** adds a SCIP_ROW to the mod 2 matrix */
static
SCIP_RETCODE mod2MatrixAddOrigRow(
   SCIP*                 scip,               /**< scip data structure */
   BMS_BLKMEM*           blkmem,             /**< block memory shell */
   MOD2_MATRIX*          mod2matrix,         /**< modulo 2 matrix */
   SCIP_HASHMAP*         origcol2col,        /**< hashmap to retrieve the mod 2 column from a SCIP_COL */
   SCIP_ROW*             origrow,            /**< original SCIP row */
   SCIP_Real             slack,              /**< slack of row */
   ROWIND_TYPE           side,               /**< side of row that is used for mod 2 row, must be ORIG_RHS or ORIG_LHS */
   int                   rhsmod2             /**< modulo 2 value of the row's right hand side */
   )
{
   SCIP_Real* rowvals;
   SCIP_COL** rowcols;
   int rowlen;
   int i;
   MOD2_ROW* row;
 
   SCIP_ALLOC( BMSallocBlockMemory(blkmem, &row) );
 
   row->index = mod2matrix->nrows++;
   SCIP_CALL( SCIPensureBlockMemoryArray(scip, &mod2matrix->rows, &mod2matrix->rowssize, mod2matrix->nrows) );
   mod2matrix->rows[row->index] = row;
 
   row->slack = MAX(0.0, slack);
   row->maxsolval = 0.0;
   row->rhs = rhsmod2;
   row->nrowinds = 1;
   row->rowinds = NULL;
   row->rowindssize = 0;
 
   if( SCIPisZero(scip, row->slack) )
      ++mod2matrix->nzeroslackrows;
 
   SCIP_CALL( SCIPensureBlockMemoryArray(scip, &row->rowinds, &row->rowindssize, row->nrowinds) );
   row->rowinds[0].type = side;
   row->rowinds[0].index = (unsigned int)SCIProwGetLPPos(origrow);
 
   row->nnonzcols = 0;
   row->nonzcolssize = 0;
   row->nonzcols = NULL;
 
   rowlen = SCIProwGetNNonz(origrow);
   rowvals = SCIProwGetVals(origrow);
   rowcols = SCIProwGetCols(origrow);
 
   for( i = 0; i < rowlen; ++i )
   {
      if( mod2(scip, rowvals[i]) == 1 )
      {
         void* colinfo;
         MOD2_COL* col;
         int rhsoffset;
 
         colinfo = SCIPhashmapGetImage(origcol2col, (void*)SCIPcolGetVar(rowcols[i]));
 
         /* extract the righthand side offset from the colinfo and update the righthand side */
         rhsoffset = COLINFO_GET_RHSOFFSET(colinfo);
         row->rhs = (row->rhs + rhsoffset) % 2;
 
         /* extract the column pointer from the colinfo */
         col = COLINFO_GET_MOD2COL(colinfo);
 
         if( col != NULL )
         {
            int k;
 
            k = row->nnonzcols++;
 
            SCIP_CALL( SCIPensureBlockMemoryArray(scip, &row->nonzcols, &row->nonzcolssize, row->nnonzcols) );
            row->nonzcols[k] = col;
 
            SCIP_CALL( mod2colLinkRow(blkmem, col, row) );
         }
      }
   }
 
   SCIPsortPtr((void**)row->nonzcols, compareColIndex, row->nnonzcols);
 
   checkRow(row);
 
   return SCIP_OKAY;
}
 
/** adds a transformed integral row to the mod 2 matrix */
static
SCIP_RETCODE mod2MatrixAddTransRow(
   SCIP*                 scip,               /**< scip data structure */
   MOD2_MATRIX*          mod2matrix,         /**< modulo 2 matrix */
   SCIP_HASHMAP*         origcol2col,        /**< hashmap to retrieve the mod 2 column from a SCIP_COL */
   int                   transrowind         /**< index to transformed int row */
   )
{
   int i;
   SCIP_VAR** vars;
   BMS_BLKMEM* blkmem;
   MOD2_ROW* row;
   TRANSINTROW* introw;
 
   SCIP_CALL( SCIPallocBlockMemory(scip, &row) );
 
   vars = SCIPgetVars(scip);
   introw = &mod2matrix->transintrows[transrowind];
 
   blkmem = SCIPblkmem(scip);
   row->index = mod2matrix->nrows++;
   SCIP_CALL( SCIPensureBlockMemoryArray(scip, &mod2matrix->rows, &mod2matrix->rowssize, mod2matrix->nrows) );
   mod2matrix->rows[row->index] = row;
 
   row->slack = MAX(0.0, introw->slack);
   row->rhs = mod2(scip, introw->rhs);
   row->nrowinds = 1;
   row->rowinds = NULL;
   row->rowindssize = 0;
   row->maxsolval = 0.0;
 
   if( SCIPisZero(scip, row->slack) )
      ++mod2matrix->nzeroslackrows;
 
   SCIP_CALL( SCIPensureBlockMemoryArray(scip, &row->rowinds, &row->rowindssize, row->nrowinds) );
   row->rowinds[0].type = TRANSROW;
   row->rowinds[0].index = (unsigned int)transrowind;
 
   row->nnonzcols = 0;
   row->nonzcolssize = 0;
   row->nonzcols = NULL;
 
   for( i = 0; i < introw->len; ++i )
   {
      if( mod2(scip, introw->vals[i]) == 1 )
      {
         void* colinfo;
         MOD2_COL* col;
         int rhsoffset;
 
         colinfo = SCIPhashmapGetImage(origcol2col, (void*)vars[introw->varinds[i]]);
 
         /* extract the righthand side offset from the colinfo and update the righthand side */
         rhsoffset = COLINFO_GET_RHSOFFSET(colinfo);
         row->rhs = (row->rhs + rhsoffset) % 2;
 
         /* extract the column pointer from the colinfo */
         col = COLINFO_GET_MOD2COL(colinfo);
 
         if( col != NULL )
         {
            int k;
 
            k = row->nnonzcols++;
 
            SCIP_CALL( SCIPensureBlockMemoryArray(scip, &row->nonzcols, &row->nonzcolssize, row->nnonzcols) );
            row->nonzcols[k] = col;
 
            SCIP_CALL( mod2colLinkRow(blkmem, col, row) );
         }
      }
   }
 
   SCIPsortPtr((void**)row->nonzcols, compareColIndex, row->nnonzcols);
 
   checkRow(row);
 
   return SCIP_OKAY;
}
 
/** free all resources held by the mod 2 matrix */
static
void destroyMod2Matrix(
   SCIP*                 scip,               /**< scip data structure */
   MOD2_MATRIX*          mod2matrix          /**< pointer to mod2 matrix structure */
   )
{
   int i;
 
   for( i = 0; i < mod2matrix->ncols; ++i )
   {
      SCIPhashsetFree(&mod2matrix->cols[i]->nonzrows, SCIPblkmem(scip));
      SCIPfreeBlockMemory(scip, &mod2matrix->cols[i]); /*lint !e866*/
   }
 
   for( i = 0; i < mod2matrix->nrows; ++i )
   {
      SCIPfreeBlockMemoryArrayNull(scip, &mod2matrix->rows[i]->nonzcols, mod2matrix->rows[i]->nonzcolssize);
      SCIPfreeBlockMemoryArrayNull(scip, &mod2matrix->rows[i]->rowinds, mod2matrix->rows[i]->rowindssize);
      SCIPfreeBlockMemory(scip, &mod2matrix->rows[i]); /*lint !e866*/
   }
 
   for( i = 0; i < mod2matrix->ntransintrows; ++i )
   {
      SCIPfreeBlockMemoryArray(scip, &mod2matrix->transintrows[i].vals, mod2matrix->transintrows[i].size);
      SCIPfreeBlockMemoryArray(scip, &mod2matrix->transintrows[i].varinds, mod2matrix->transintrows[i].size);
   }
 
   SCIPfreeBlockMemoryArray(scip, &mod2matrix->transintrows, 2*SCIPgetNLPRows(scip)); /*lint !e647*/
 
   SCIPfreeBlockMemoryArrayNull(scip, &mod2matrix->rows, mod2matrix->rowssize);
   SCIPfreeBlockMemoryArrayNull(scip, &mod2matrix->cols, mod2matrix->colssize);
}
 
/** build the modulo 2 matrix from all integral rows in the LP, and non-integral rows
 *  if the transformation to an integral row succeeds
 */
static
SCIP_RETCODE buildMod2Matrix(
   SCIP*                 scip,               /**< scip data structure */
   SCIP_SOL*             sol,                /**< solution to separate, or NULL for LP solution */
   SCIP_SEPADATA*        sepadata,           /**< zerohalf separator data */
   BMS_BLKMEM*           blkmem,             /**< block memory shell */
   MOD2_MATRIX*          mod2matrix,         /**< mod 2 matrix */
   SCIP_Bool             allowlocal,         /**< should local cuts be allowed */
   SCIP_Real             maxslack            /**< maximum slack allowed for mod 2 rows */
   )
{
   SCIP_VAR** vars;
   SCIP_ROW** rows;
   SCIP_COL** cols;
   SCIP_HASHMAP* origcol2col;
   int ncols;
   int nrows;
   int nintvars;
   int maxnonzeros;
   int i;
   SCIP_CALL( SCIPgetLPRowsData(scip, &rows, &nrows) );
   SCIP_CALL( SCIPgetLPColsData(scip, &cols, &ncols) );
 
   nintvars = SCIPgetNVars(scip) - SCIPgetNContVars(scip);
   vars = SCIPgetVars(scip);
 
   /* initialize fields */
   mod2matrix->cols = NULL;
   mod2matrix->colssize = 0;
   mod2matrix->ncols = 0;
   mod2matrix->rows = NULL;
   mod2matrix->rowssize = 0;
   mod2matrix->nrows = 0;
   mod2matrix->nzeroslackrows = 0;
 
   SCIP_CALL( SCIPhashmapCreate(&origcol2col, SCIPblkmem(scip), 1) );
 
   /* add all integral vars if they are not at their bound */
   for( i = 0; i < nintvars; ++i )
   {
      SCIP_Real lb;
      SCIP_Real ub;
      SCIP_Real lbsol;
      SCIP_Real ubsol;
      SCIP_Real primsol;
      SCIP_Bool useub;
 
      primsol = SCIPgetSolVal(scip, sol, vars[i]);
 
      lb = allowlocal ? SCIPvarGetLbLocal(vars[i]) : SCIPvarGetLbGlobal(vars[i]);
      lbsol = MAX(0.0, primsol - lb);
      if( SCIPisZero(scip, lbsol) )
      {
         SCIP_CALL( SCIPhashmapInsert(origcol2col, (void*) vars[i], COLINFO_CREATE(NULL, mod2(scip, lb))) ); /*lint !e571*/
         continue;
      }
 
      ub = allowlocal ? SCIPvarGetUbLocal(vars[i]) : SCIPvarGetUbGlobal(vars[i]);
      ubsol = MAX(0.0, ub - primsol);
      if( SCIPisZero(scip, ubsol) )
      {
         SCIP_CALL( SCIPhashmapInsert(origcol2col, (void*) vars[i], COLINFO_CREATE(NULL, mod2(scip, ub))) ); /*lint !e571*/
         continue;
      }
 
      if( SCIPisInfinity(scip, ub) ) /* if there is no ub, use lb */
         useub = FALSE;
      else if( SCIPisInfinity(scip, -lb) ) /* if there is no lb, use ub */
         useub = TRUE;
      else if( SCIPisLT(scip, primsol, (1.0 - BOUNDSWITCH) * lb + BOUNDSWITCH * ub) )
         useub = FALSE;
      else
         useub = TRUE;
 
      if( useub )
      {
         assert(ubsol > 0.0);
 
         /* coverity[var_deref_model] */
         SCIP_CALL( mod2MatrixAddCol(scip, mod2matrix, origcol2col, vars[i], ubsol, mod2(scip, ub)) );
      }
      else
      {
         assert(lbsol > 0.0);
 
         /* coverity[var_deref_model] */
         SCIP_CALL( mod2MatrixAddCol(scip, mod2matrix, origcol2col, vars[i], lbsol, mod2(scip, lb)) );
      }
   }
 
   maxnonzeros = (int)(SCIPgetNLPCols(scip) * sepadata->maxrowdensity) + sepadata->densityoffset;
 
   /* add all integral rows using the created columns */
   for( i = 0; i < nrows; ++i )
   {
      SCIP_Real lhs;
      SCIP_Real rhs;
      SCIP_Real activity;
      SCIP_Real lhsslack;
      SCIP_Real rhsslack;
      int lhsmod2;
      int rhsmod2;
 
      /* skip non-integral rows and rows not suitable for generating cuts */
      if( SCIProwIsModifiable(rows[i]) || !SCIProwIsIntegral(rows[i]) ||
            (SCIProwIsLocal(rows[i]) && !allowlocal) || SCIProwGetNNonz(rows[i]) > maxnonzeros )
         continue;
 
      lhsmod2 = 0;
      rhsmod2 = 0;
      activity = SCIPgetRowSolActivity(scip, rows[i], sol) - SCIProwGetConstant(rows[i]);
 
      /* since row is integral we can ceil/floor the lhs/rhs after subtracting the constant */
      lhs = SCIPfeasCeil(scip, SCIProwGetLhs(rows[i]) - SCIProwGetConstant(rows[i]));
      rhs = SCIPfeasFloor(scip, SCIProwGetRhs(rows[i]) - SCIProwGetConstant(rows[i]));
 
      /* compute lhsslack: activity - lhs */
      if( SCIPisInfinity(scip, -SCIProwGetLhs(rows[i])) )
         lhsslack = SCIPinfinity(scip);
      else
      {
         lhsslack = activity - lhs;
         lhsmod2 = mod2(scip, lhs);
      }
 
      /* compute rhsslack: rhs - activity */
      if( SCIPisInfinity(scip, SCIProwGetRhs(rows[i])) )
         rhsslack = SCIPinfinity(scip);
      else
      {
         rhsslack = rhs - activity;
         rhsmod2 = mod2(scip, rhs);
      }
 
      if( rhsslack <= maxslack && lhsslack <= maxslack )
      {
         if( lhsmod2 == rhsmod2 )
         {
            /* maxslack < 1 implies rhs - lhs = rhsslack + lhsslack < 2. Therefore lhs = rhs (mod2) can only hold if they
             * are equal
             */
            assert(SCIPisEQ(scip, lhs, rhs));
 
            /* use rhs */
            /* coverity[var_deref_model] */
            SCIP_CALL( mod2MatrixAddOrigRow(scip, blkmem, mod2matrix, origcol2col, rows[i], rhsslack, ORIG_RHS, rhsmod2) );
         }
         else
         {
            /* use both */
            /* coverity[var_deref_model] */
            SCIP_CALL( mod2MatrixAddOrigRow(scip, blkmem, mod2matrix, origcol2col, rows[i], lhsslack, ORIG_LHS, lhsmod2) );
            SCIP_CALL( mod2MatrixAddOrigRow(scip, blkmem, mod2matrix, origcol2col, rows[i], rhsslack, ORIG_RHS, rhsmod2) );
         }
      }
      else if( rhsslack <= maxslack )
      {
         /* use rhs */
         /* coverity[var_deref_model] */
         SCIP_CALL( mod2MatrixAddOrigRow(scip, blkmem, mod2matrix, origcol2col, rows[i], rhsslack, ORIG_RHS, rhsmod2) );
      }
      else if( lhsslack <= maxslack )
      {
         /* use lhs */
         /* coverity[var_deref_model] */
         SCIP_CALL( mod2MatrixAddOrigRow(scip, blkmem, mod2matrix, origcol2col, rows[i], lhsslack, ORIG_LHS, lhsmod2) );
      }
   }
 
   /* transform non-integral rows */
   SCIP_CALL( mod2MatrixTransformContRows(scip, sol, sepadata, mod2matrix, allowlocal, maxslack) );
 
   /* add all transformed integral rows using the created columns */
   for( i = 0; i < mod2matrix->ntransintrows; ++i )
   {
      SCIP_CALL( mod2MatrixAddTransRow(scip, mod2matrix, origcol2col, i) );
   }
 
   SCIPhashmapFree(&origcol2col);
 
   return SCIP_OKAY;
}
 
/* compare two mod 2 columns for equality */
static
SCIP_DECL_HASHKEYEQ(columnsEqual)
{  /*lint --e{715}*/
   MOD2_COL* col1;
   MOD2_COL* col2;
   int nslotscol1;
   MOD2_ROW** col1rows;
   int i;
 
   col1 = (MOD2_COL*) key1;
   col2 = (MOD2_COL*) key2;
 
   if( SCIPhashsetGetNElements(col1->nonzrows) != SCIPhashsetGetNElements(col2->nonzrows) )
      return FALSE;
 
   nslotscol1 = SCIPhashsetGetNSlots(col1->nonzrows);
   col1rows = (MOD2_ROW**) SCIPhashsetGetSlots(col1->nonzrows);
   for( i = 0; i < nslotscol1; ++i )
   {
      if( col1rows[i] != NULL && !SCIPhashsetExists(col2->nonzrows, (void*)col1rows[i]) )
         return FALSE;
   }
 
   return TRUE;
}
 
/* compute a signature of the rows in a mod 2 matrix as hash value */
static
SCIP_DECL_HASHKEYVAL(columnGetSignature)
{  /*lint --e{715}*/
   MOD2_COL* col;
   MOD2_ROW** rows;
   uint64_t signature;
   int i;
   int nslots;
 
   col = (MOD2_COL*) key;
 
   nslots = SCIPhashsetGetNSlots(col->nonzrows);
   rows = (MOD2_ROW**) SCIPhashsetGetSlots(col->nonzrows);
 
   signature = 0;
   for( i = 0; i < nslots; ++i )
   {
      if( rows[i] != NULL )
         signature |= SCIPhashSignature64(rows[i]->index);
   }
 
   return signature;
}
 
/* compare two mod 2 rows for equality */
static
SCIP_DECL_HASHKEYEQ(rowsEqual)
{  /*lint --e{715}*/
   MOD2_ROW* row1;
   MOD2_ROW* row2;
   int i;
 
   row1 = (MOD2_ROW*) key1;
   row2 = (MOD2_ROW*) key2;
 
   assert(row1 != NULL);
   assert(row2 != NULL);
   assert(row1->nnonzcols == 0 || row1->nonzcols != NULL);
   assert(row2->nnonzcols == 0 || row2->nonzcols != NULL);
 
   if( row1->nnonzcols != row2->nnonzcols || row1->rhs != row2->rhs )
      return FALSE;
 
   for( i = 0; i < row1->nnonzcols; ++i )
   {
      if( row1->nonzcols[i] != row2->nonzcols[i] )
         return FALSE;
   }
 
   return TRUE;
}
 
/* compute a signature of a mod 2 row as hash value */
static
SCIP_DECL_HASHKEYVAL(rowGetSignature)
{  /*lint --e{715}*/
   MOD2_ROW* row;
   int i;
   uint64_t signature;
 
   row = (MOD2_ROW*) key;
   assert(row->nnonzcols == 0 || row->nonzcols != NULL);
 
   signature = row->rhs; /*lint !e732*/
 
   for( i = 0; i < row->nnonzcols; ++i )
      signature |= SCIPhashSignature64(row->nonzcols[i]->index);
 
   return signature;
}
 
/** removes a row from the mod 2 matrix */
static
SCIP_RETCODE mod2matrixRemoveRow(
   SCIP*                 scip,               /**< scip data structure */
   MOD2_MATRIX*          mod2matrix,         /**< the mod 2 matrix */
   MOD2_ROW*             row                 /**< mod 2 row */
   )
{
   int i;
   int position = row->pos;
 
   checkRow(row);
 
   /* update counter for zero slack rows */
   if( SCIPisZero(scip, row->slack) )
      --mod2matrix->nzeroslackrows;
 
   /* remove the row from the array */
   --mod2matrix->nrows;
   mod2matrix->rows[position] = mod2matrix->rows[mod2matrix->nrows];
   mod2matrix->rows[position]->pos = position;
 
   /* unlink columns from row */
   for( i = 0; i < row->nnonzcols; ++i )
   {
      SCIP_CALL( mod2colUnlinkRow(row->nonzcols[i], row) );
   }
 
   /* free row */
   SCIPfreeBlockMemoryArrayNull(scip, &row->nonzcols, row->nonzcolssize);
   SCIPfreeBlockMemoryArray(scip, &row->rowinds, row->rowindssize);
   SCIPfreeBlockMemory(scip, &row);
 
   return SCIP_OKAY;
}
 
/** removes a column from the mod 2 matrix */
static
void mod2matrixRemoveCol(
   SCIP*                 scip,               /**< scip data structure */
   MOD2_MATRIX*          mod2matrix,         /**< the mod 2 matrix */
   MOD2_COL*             col                 /**< a column in the mod 2 matrix */
   )
{
   int i;
   int nslots;
   MOD2_ROW** rows;
   int position;
 
   assert(col != NULL);
 
   position = col->pos;
 
   /* remove column from arrays */
   --mod2matrix->ncols;
   mod2matrix->cols[position] = mod2matrix->cols[mod2matrix->ncols];
   mod2matrix->cols[position]->pos = position;
 
   nslots = SCIPhashsetGetNSlots(col->nonzrows);
   rows = (MOD2_ROW**) SCIPhashsetGetSlots(col->nonzrows);
 
   /* adjust rows of column */
   for( i = 0; i < nslots; ++i )
   {
      if( rows[i] != NULL )
         mod2rowUnlinkCol(rows[i], col);
   }
 
   /* free column */
   SCIPhashsetFree(&col->nonzrows, SCIPblkmem(scip));
   SCIPfreeBlockMemory(scip, &col);
}
 
/* remove columns that are (Prop3 iii) zero (Prop3 iv) identify indentical columns (Prop3 v) unit vector columns */
static
SCIP_RETCODE mod2matrixPreprocessColumns(
   SCIP*                 scip,               /**< scip data structure */
   MOD2_MATRIX*          mod2matrix,         /**< mod 2 matrix */
   SCIP_SEPADATA*        sepadata            /**< zerohalf separator data */
   )
{
   int i;
   SCIP_HASHTABLE* columntable;
 
   SCIP_CALL( SCIPhashtableCreate(&columntable, SCIPblkmem(scip), mod2matrix->ncols,
                                  SCIPhashGetKeyStandard, columnsEqual, columnGetSignature, NULL) );
 
   for( i = 0; i < mod2matrix->ncols; )
   {
      MOD2_COL* col = mod2matrix->cols[i];
      int nnonzrows = SCIPhashsetGetNElements(col->nonzrows);
      if( nnonzrows == 0 )
      { /* Prop3 iii */
         mod2matrixRemoveCol(scip, mod2matrix, col);
      }
      else if( nnonzrows == 1 )
      { /* Prop3 v */
         MOD2_ROW* row;
 
         {
            int j = 0;
            MOD2_ROW** rows;
            rows = (MOD2_ROW**) SCIPhashsetGetSlots(col->nonzrows);
            while( rows[j] == NULL )
               ++j;
 
            row = rows[j];
         }
 
         checkRow(row);
 
         /* column is unit vector, so add its solution value to the rows slack and remove it */
         if( SCIPisZero(scip, row->slack) )
            --mod2matrix->nzeroslackrows;
 
         row->slack += col->solval;
         assert(!SCIPisZero(scip, row->slack));
 
         mod2matrixRemoveCol(scip, mod2matrix, col);
         ++sepadata->nreductions;
 
         checkRow(row);
      }
      else
      {
         MOD2_COL* identicalcol;
         identicalcol = (MOD2_COL*)SCIPhashtableRetrieve(columntable, col);
         if( identicalcol != NULL )
         {
            assert(identicalcol != col);
 
            /* column is identical to other column so add its solution value to the other one and then remove and free it */
            identicalcol->solval += col->solval;
 
            /* also adjust the solval of the removed column so that the maxsolval of each row is properly updated */
            col->solval = identicalcol->solval;
 
            mod2matrixRemoveCol(scip, mod2matrix, col);
         }
         else
         {
            SCIP_CALL( SCIPhashtableInsert(columntable, (void*)col) );
            ++i;
         }
      }
   }
 
   SCIPhashtableFree(&columntable);
 
   return SCIP_OKAY;
}
 
#define NONZERO(x)   (COPYSIGN(1e-100, (x)) + (x))
 
/** add original row to aggregation with weight 0.5 */
static
void addOrigRow(
   SCIP*                 scip,               /**< SCIP datastructure */
   SCIP_Real*            tmpcoefs,           /**< array to add coefficients to */
   SCIP_Real*            cutrhs,             /**< pointer to add right hand side */
   int*                  nonzeroinds,        /**< array of non-zeros in the aggregation */
   int*                  nnz,                /**< pointer to update number of non-zeros */
   int*                  cutrank,            /**< pointer to update cut rank */
   SCIP_Bool*            cutislocal,         /**< pointer to update local flag */
   SCIP_ROW*             row,                /**< row to add */
   int                   sign                /**< sign for weight, i.e. +1 to use right hand side or -1 to use left hand side */
   )
{
   int i;
   SCIP_Real weight = 0.5 * sign;
   SCIP_COL** rowcols;
   SCIP_Real* rowvals;
   int rowlen;
 
   rowlen = SCIProwGetNNonz(row);
   rowcols = SCIProwGetCols(row);
   rowvals = SCIProwGetVals(row);
   for( i = 0; i < rowlen; ++i )
   {
      SCIP_Real val;
      int probindex;
 
      probindex = SCIPcolGetVarProbindex(rowcols[i]);
      val = tmpcoefs[probindex];
      if( val == 0.0 )
      {
         nonzeroinds[(*nnz)++] = probindex;
      }
 
      val += weight * rowvals[i];
      tmpcoefs[probindex] = NONZERO(val);
   }
 
   if( sign == +1 )
   {
      *cutrhs += weight * SCIPfeasFloor(scip, SCIProwGetRhs(row) - SCIProwGetConstant(row));
   }
   else
   {
      assert(sign == -1);
      *cutrhs += weight * SCIPfeasCeil(scip, SCIProwGetLhs(row) - SCIProwGetConstant(row));
   }
 
   if( SCIProwGetRank(row) > *cutrank )
      *cutrank = SCIProwGetRank(row);
   *cutislocal = *cutislocal || SCIProwIsLocal(row);
}
 
/** add transformed integral row to aggregation with weight 0.5 */
static
void addTransRow(
   SCIP_Real*            tmpcoefs,           /**< array to add coefficients to */
   SCIP_Real*            cutrhs,             /**< pointer to add right hand side */
   int*                  nonzeroinds,        /**< array of non-zeros in the aggregation */
   int*                  nnz,                /**< pointer to update number of non-zeros */
   int*                  cutrank,            /**< pointer to update cut rank */
   SCIP_Bool*            cutislocal,         /**< pointer to update local flag */
   TRANSINTROW*          introw              /**< transformed integral row to add to the aggregation */
   )
{
   int i;
 
   for( i = 0; i < introw->len; ++i )
   {
      int probindex = introw->varinds[i];
      SCIP_Real val = tmpcoefs[probindex];
 
      if( val == 0.0 )
      {
         nonzeroinds[(*nnz)++] = probindex;
      }
 
      val += 0.5 * introw->vals[i];
      tmpcoefs[probindex] = NONZERO(val);
   }
 
   *cutrhs += 0.5 * introw->rhs;
 
   *cutrank = MAX(*cutrank, introw->rank);
   *cutislocal = *cutislocal || introw->local;
}
 
/* calculates the cuts efficacy of cut */
static
SCIP_Real calcEfficacy(
   SCIP*                 scip,               /**< SCIP data structure */
   SCIP_SOL*             sol,                /**< solution to separate, or NULL for LP solution */
   SCIP_Real*            cutcoefs,           /**< array of the non-zero coefficients in the cut */
   SCIP_Real             cutrhs,             /**< the right hand side of the cut */
   int*                  cutinds,            /**< array of the problem indices of variables with a non-zero coefficient in the cut */
   int                   cutnnz              /**< the number of non-zeros in the cut */
   )
{
   SCIP_VAR** vars;
   SCIP_Real norm;
   SCIP_Real activity;
   int i;
 
   assert(scip != NULL);
   assert(cutcoefs != NULL);
   assert(cutinds != NULL);
 
   norm = SCIPgetVectorEfficacyNorm(scip, cutcoefs, cutnnz);
   vars = SCIPgetVars(scip);
 
   activity = 0.0;
   for( i = 0; i < cutnnz; ++i )
      activity += cutcoefs[i] * SCIPgetSolVal(scip, sol, vars[cutinds[i]]);
 
   return (activity - cutrhs) / MAX(1e-6, norm);
}
 
/** computes maximal violation that can be achieved for zerohalf cuts where this row particiaptes */
static
SCIP_Real computeMaxViolation(
   MOD2_ROW*             row                 /**< mod 2 row */
   )
{
   SCIP_Real viol;
 
   viol = 1.0 - row->slack;
   viol *= 0.5;
 
   return viol;
}
 
/** computes violation of zerohalf cut generated from given mod 2 row */
static
SCIP_Real computeViolation(
   MOD2_ROW*             row                 /**< mod 2 row */
   )
{
   int i;
   SCIP_Real viol;
 
   viol = 1.0 - row->slack;
 
   for( i = 0; i < row->nnonzcols; ++i )
   {
      viol -= row->nonzcols[i]->solval;
   }
 
   viol *= 0.5;
 
   return viol;
}
 
/** generate a zerohalf cut from a given mod 2 row, i.e., try if aggregations of rows of the
 *  mod2 matrix give violated cuts
 */
static
SCIP_RETCODE generateZerohalfCut(
   SCIP*                 scip,               /**< scip data structure */
   SCIP_SOL*             sol,                /**< solution to separate, or NULL for LP solution */
   MOD2_MATRIX*          mod2matrix,         /**< mod 2 matrix */
   SCIP_SEPA*            sepa,               /**< zerohalf separator */
   SCIP_SEPADATA*        sepadata,           /**< zerohalf separator data */
   SCIP_Bool             allowlocal,         /**< should local cuts be allowed */
   MOD2_ROW*             row                 /**< mod 2 row */
   )
{
   SCIP_Bool cutislocal;
   int i;
   int cutnnz;
   int cutrank;
   int nvars;
   int maxaggrlen;
   int nchgcoefs;
   int* cutinds;
   SCIP_ROW** rows;
   SCIP_VAR** vars;
   SCIP_Real* tmpcoefs;
   SCIP_Real* cutcoefs;
   SCIP_Real cutrhs;
   SCIP_Real cutefficacy;
 
   if( computeViolation(row) < sepadata->minviol )
      return SCIP_OKAY;
 
   rows = SCIPgetLPRows(scip);
   nvars = SCIPgetNVars(scip);
   vars = SCIPgetVars(scip);
 
   maxaggrlen = MAXAGGRLEN(SCIPgetNLPCols(scip));
 
   /* right hand side must be odd, otherwise no cut can be generated */
   assert(row->rhs == 1);
 
   /* perform the summation of the rows defined by the mod 2 row*/
   SCIP_CALL( SCIPallocCleanBufferArray(scip, &tmpcoefs, nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &cutinds,  nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &cutcoefs, nvars) );
 
   /* the right hand side of the zerohalf cut will be rounded down by 0.5
    * thus we can instead subtract 0.5 directly
    */
   cutrhs = -0.5;
   cutnnz = 0;
   cutrank = 0;
   cutislocal = FALSE;
 
   /* compute the aggregation of the rows with weight 0.5 */
   for( i = 0; i < row->nrowinds; ++i )
   {
      switch( row->rowinds[i].type )
      {
         case ORIG_RHS:
            addOrigRow(scip, tmpcoefs, &cutrhs, cutinds, &cutnnz, &cutrank, &cutislocal, rows[row->rowinds[i].index], 1);
            break;
         case ORIG_LHS:
            addOrigRow(scip, tmpcoefs, &cutrhs, cutinds, &cutnnz, &cutrank, &cutislocal, rows[row->rowinds[i].index], -1);
            break;
         case TRANSROW: {
            TRANSINTROW* introw = &mod2matrix->transintrows[row->rowinds[i].index];
            SCIPdebugMsg(scip, "using transformed row %i of length %i with slack %f and rhs %f for cut\n", row->rowinds[i].index, introw->len, introw->slack, introw->rhs);
            addTransRow(tmpcoefs, &cutrhs, cutinds, &cutnnz, &cutrank, &cutislocal, introw);
            break;
         }
         default:
            SCIPABORT();
      }
   }
 
   /* abort if aggregation is too long */
   if( cutnnz > maxaggrlen )
   {
      /* clean buffer array must be set to zero before jumping to the terminate label */
      for( i = 0; i < cutnnz; ++i )
      {
         int k = cutinds[i];
         tmpcoefs[k] = 0.0;
      }
      goto TERMINATE;
   }
 
   /* compute the cut coefficients and update right handside due to complementation if necessary */
   for( i = 0; i < cutnnz; )
   {
      int k = cutinds[i];
      SCIP_Real coef = tmpcoefs[k];
      SCIP_Real floorcoef = SCIPfeasFloor(scip, coef);
      tmpcoefs[k] = 0.0;
 
      /* only check complementation if the coefficient was rounded down */
      if( REALABS(coef - floorcoef) > 0.1 )
      {
         SCIP_Real lb;
         SCIP_Real ub;
         SCIP_Bool loclb;
         SCIP_Bool locub;
         SCIP_Real primsol;
         SCIP_Bool useub;
 
         /* complement with closest bound */
         primsol = SCIPgetSolVal(scip, sol, vars[k]);
         lb = SCIPvarGetLbGlobal(vars[k]);
         ub = SCIPvarGetUbGlobal(vars[k]);
         loclb = FALSE;
         locub = FALSE;
 
         /* use local bounds if better */
         if( allowlocal )
         {
            if( SCIPisGT(scip, SCIPvarGetLbLocal(vars[k]), lb) )
            {
               loclb = TRUE;
               lb = SCIPvarGetLbLocal(vars[k]);
            }
 
            if( SCIPisLT(scip, SCIPvarGetUbLocal(vars[k]), ub) )
            {
               locub = TRUE;
               ub = SCIPvarGetUbLocal(vars[k]);
            }
         }
 
         if( SCIPisInfinity(scip, ub) ) /* if there is no ub, use lb */
            useub = FALSE;
         else if( SCIPisInfinity(scip, -lb) ) /* if there is no lb, use ub */
            useub = TRUE;
         else if( SCIPisLT(scip, primsol, (1.0 - BOUNDSWITCH) * lb + BOUNDSWITCH * ub) )
            useub = FALSE;
         else
            useub = TRUE;
 
         if( useub )
         {
            /* set local flag if local bound was used */
            if( locub )
               cutislocal = TRUE;
 
            /* upper bound was used so floor was the wrong direction to round, coefficient must be ceiled instead */
            floorcoef += 1.0;
 
            assert(SCIPisFeasEQ(scip, floorcoef - coef, 0.5));
 
            /* add delta of complementing then rounding by 0.5 and complementing back to the right hand side */
            cutrhs += 0.5 * ub;
         }
         else
         {
            /* set local flag if local bound was used */
            if( loclb )
               cutislocal = TRUE;
 
            assert(SCIPisFeasEQ(scip, coef - floorcoef, 0.5));
 
            /* add delta of complementing then rounding by 0.5 and complementing back to the right hand side */
            cutrhs -= 0.5 * lb;
         }
      }
 
      /* make coefficient exactly integral */
      assert(SCIPisFeasIntegral(scip, floorcoef));
      floorcoef = SCIPfeasRound(scip, floorcoef);
 
      /* if coefficient is zero remove entry, otherwise set to floorcoef */
      if( floorcoef == 0.0 )
      {
         --cutnnz;
         cutinds[i] = cutinds[cutnnz];
      }
      else
      {
         cutcoefs[i] = floorcoef;
         ++i;
      }
   }
 
   /* make right hand side exactly integral */
   assert(SCIPisFeasIntegral(scip, cutrhs));
   cutrhs = SCIPfeasRound(scip, cutrhs);
 
   if( ! SCIPcutsTightenCoefficients(scip, cutislocal, cutcoefs, &cutrhs, cutinds, &cutnnz, &nchgcoefs) )
   {
      /* calculate efficacy */
      cutefficacy = calcEfficacy(scip, sol, cutcoefs, cutrhs, cutinds, cutnnz);
 
      if( SCIPisEfficacious(scip, cutefficacy) )
      {
         SCIP_ROW* cut;
         char cutname[SCIP_MAXSTRLEN];
         int v;
 
         /* increase rank by 1 */
         cutrank += 1;
 
         assert(allowlocal || !cutislocal);
 
         /* create the cut */
         (void) SCIPsnprintf(cutname, SCIP_MAXSTRLEN, "zerohalf%" SCIP_LONGINT_FORMAT "_x%d", SCIPgetNLPs(scip), row->index);
 
         SCIP_CALL( SCIPcreateEmptyRowSepa(scip, &cut, sepa, cutname, -SCIPinfinity(scip), cutrhs, cutislocal, FALSE, sepadata->dynamiccuts) );
 
         SCIProwChgRank(cut, cutrank);
 
         /* cache the row extension and only flush them if the cut gets added */
         SCIP_CALL( SCIPcacheRowExtensions(scip, cut) );
 
         /* collect all non-zero coefficients */
         for( v = 0; v < cutnnz; ++v )
         {
            SCIP_CALL( SCIPaddVarToRow(scip, cut, vars[cutinds[v]], cutcoefs[v]) );
         }
 
         /* flush all changes before adding the cut */
         SCIP_CALL( SCIPflushRowExtensions(scip, cut) );
 
         if( SCIPisCutNew(scip, cut) )
         {
            int pos = sepadata->ncuts++;
 
            if( sepadata->ncuts > sepadata->cutssize )
            {
               int newsize = SCIPcalcMemGrowSize(scip, sepadata->ncuts);
               SCIP_CALL( SCIPreallocBlockMemoryArray(scip, &sepadata->cuts, sepadata->cutssize, newsize) );
               sepadata->cutssize = newsize;
            }
 
            sepadata->cuts[pos] = cut;
         }
         else
         {
            /* release the row */
            SCIP_CALL( SCIPreleaseRow(scip, &cut) );
         }
      }
   }
 
  TERMINATE:
   SCIPfreeBufferArray(scip, &cutcoefs);
   SCIPfreeBufferArray(scip, &cutinds);
   SCIPfreeCleanBufferArray(scip, &tmpcoefs);
 
   return SCIP_OKAY;
}
 
 
/** remove rows that are (a) zero (b) identical to other rows (keep the one with smallest slack) (c) have slack greater
 * than 1 (d) for zero rows with 1 as rhs and slack less than 1, we can directly generate a cut and remove the row (Lemma 4)
 */
static
SCIP_RETCODE mod2matrixPreprocessRows(
   SCIP*                 scip,               /**< scip data structure */
   SCIP_SOL*             sol,                /**< solution to separate, or NULL for LP solution */
   MOD2_MATRIX*          mod2matrix,         /**< the mod 2 matrix */
   SCIP_SEPA*            sepa,               /**< the zerohalf separator */
   SCIP_SEPADATA*        sepadata,           /**< data of the zerohalf separator */
   SCIP_Bool             allowlocal          /**< should local cuts be allowed */
   )
{
   int i;
   SCIP_HASHTABLE* rowtable;
 
   SCIP_CALL( SCIPhashtableCreate(&rowtable, SCIPblkmem(scip), mod2matrix->nrows,
                                  SCIPhashGetKeyStandard, rowsEqual, rowGetSignature, NULL) );
 
   for( i = 0; i < mod2matrix->nrows; )
   {
      MOD2_ROW* row = mod2matrix->rows[i];
      row->pos = i;
 
      checkRow(row);
 
      assert(row->nnonzcols == 0 || row->nonzcols != NULL);
 
      if( (row->nnonzcols == 0 && row->rhs == 0) || computeMaxViolation(row) < sepadata->minviol )
      { /* (a) and (c) */
         sepadata->nreductions += row->nnonzcols;
         SCIP_CALL( mod2matrixRemoveRow(scip, mod2matrix, row) );
      }
      else if( row->nnonzcols > 0 )
      { /* (b) */
         MOD2_ROW* identicalrow;
         identicalrow = (MOD2_ROW*)SCIPhashtableRetrieve(rowtable, (void*)row);
         if( identicalrow != NULL )
         {
            assert(identicalrow != row);
            assert(identicalrow->nnonzcols == 0 || identicalrow->nonzcols != NULL);
 
            checkRow(identicalrow);
 
            /* row is identical to other row; only keep the one with smaller slack */
            if( identicalrow->slack <= row->slack )
            {
               SCIP_CALL( mod2matrixRemoveRow(scip, mod2matrix, row) );
            }
            else
            {
               assert(SCIPhashtableExists(rowtable, (void*)identicalrow));
 
               SCIP_CALL( SCIPhashtableRemove(rowtable, (void*)identicalrow) );
               assert(!SCIPhashtableExists(rowtable, (void*)identicalrow));
 
               SCIP_CALL( SCIPhashtableInsert(rowtable, (void*)row) );
 
               SCIPswapPointers((void**) &mod2matrix->rows[row->pos], (void**) &mod2matrix->rows[identicalrow->pos]);
               SCIPswapInts(&row->pos, &identicalrow->pos);
 
               assert(mod2matrix->rows[row->pos] == row && mod2matrix->rows[identicalrow->pos] == identicalrow);
               assert(identicalrow->pos == i);
               assert(row->pos < i);
 
               SCIP_CALL( mod2matrixRemoveRow(scip, mod2matrix, identicalrow) );
            }
         }
         else
         {
            SCIP_CALL( SCIPhashtableInsert(rowtable, (void*)row) );
            ++i;
         }
      }
      else
      {
         /* (d) */
         assert(row->nnonzcols == 0 && row->rhs == 1 && SCIPisLT(scip, row->slack, 1.0));
 
         SCIP_CALL( generateZerohalfCut(scip, sol, mod2matrix, sepa, sepadata, allowlocal, row) );
 
         if( sepadata->infeasible )
            goto TERMINATE;
 
         SCIP_CALL( mod2matrixRemoveRow(scip, mod2matrix, row) );
         ++i;
      }
   }
TERMINATE:
   SCIPhashtableFree(&rowtable);
 
   return SCIP_OKAY;
}
 
/** add a mod2 row to another one */
static
SCIP_RETCODE mod2rowAddRow(
   SCIP*                 scip,               /**< scip data structure */
   BMS_BLKMEM*           blkmem,             /**< block memory shell */
   MOD2_MATRIX*          mod2matrix,         /**< mod 2 matrix */
   MOD2_ROW*             row,                /**< mod 2 row */
   MOD2_ROW*             rowtoadd            /**< mod 2 row that is added to the other mod 2 row */
   )
{
   SCIP_Shortbool* contained;
   int i;
   int j;
   int k;
   int nnewentries;
   int nlprows;
   MOD2_COL** newnonzcols;
   SCIP_Real newslack;
 
   checkRow(row);
   checkRow(rowtoadd);
 
   assert(row->nnonzcols == 0 || row->nonzcols != NULL);
   assert(rowtoadd->nnonzcols == 0 || rowtoadd->nonzcols != NULL);
 
   nlprows = SCIPgetNLPRows(scip);
   row->rhs ^= rowtoadd->rhs;
 
   newslack = row->slack + rowtoadd->slack;
   blkmem = SCIPblkmem(scip);
 
   if( SCIPisZero(scip, row->slack) && !SCIPisZero(scip, newslack) )
      --mod2matrix->nzeroslackrows;
 
   row->slack = newslack;
 
   {
      /* the maximum index return by the UNIQUE_INDEX macro is 3 times
       * the maximum index value in the ROWINDEX struct. The index value could
       * be the lp position of an original row or the index of a transformed row.
       * Hence we need to allocate 3 times the maximum of these two possible
       * index types.
       */
      int allocsize = 3 * MAX(nlprows, mod2matrix->ntransintrows);
      SCIP_CALL( SCIPallocCleanBufferArray(scip, &contained, allocsize) );
   }
 
   /* remember entries that are in the row to add */
   for( i = 0; i < rowtoadd->nrowinds; ++i )
   {
      contained[UNIQUE_INDEX(rowtoadd->rowinds[i])] = 1;
   }
 
   /* remove the entries that are in both rows from the row (1 + 1 = 0 (mod 2)) */
   nnewentries = rowtoadd->nrowinds;
   for( i = 0; i < row->nrowinds; )
   {
      if( contained[UNIQUE_INDEX(row->rowinds[i])] )
      {
         --nnewentries;
         contained[UNIQUE_INDEX(row->rowinds[i])] = 0;
         --row->nrowinds;
         row->rowinds[i] = row->rowinds[row->nrowinds];
      }
      else
      {
         ++i;
      }
   }
 
   SCIP_CALL( SCIPensureBlockMemoryArray(scip, &row->rowinds, &row->rowindssize, row->nrowinds + nnewentries) );
 
   /* add remaining entries of row to add */
   for ( i = 0; i < rowtoadd->nrowinds; ++i )
   {
      if( contained[UNIQUE_INDEX(rowtoadd->rowinds[i])] )
      {
         contained[UNIQUE_INDEX(rowtoadd->rowinds[i])] = 0;
         row->rowinds[row->nrowinds++] = rowtoadd->rowinds[i];
      }
   }
 
   SCIPfreeCleanBufferArray(scip, &contained);
 
   SCIP_CALL( SCIPallocBufferArray(scip, &newnonzcols, row->nnonzcols + rowtoadd->nnonzcols) );
 
   i = 0;
   j = 0;
   k = 0;
   row->maxsolval = 0.0;
 
   /* since columns are sorted we can merge them */
   while( i < row->nnonzcols && j < rowtoadd->nnonzcols )
   {
      if( row->nonzcols[i] == rowtoadd->nonzcols[j] )
      {
         SCIP_CALL( mod2colUnlinkRow(row->nonzcols[i], row) );
         ++i;
         ++j;
      }
      else if( row->nonzcols[i]->index < rowtoadd->nonzcols[j]->index )
      {
         row->maxsolval = MAX(row->maxsolval, row->nonzcols[i]->solval);
         newnonzcols[k++] = row->nonzcols[i++];
      }
      else
      {
         SCIP_CALL( mod2colLinkRow(blkmem, rowtoadd->nonzcols[j], row) );
         newnonzcols[k++] = rowtoadd->nonzcols[j++];
      }
   }
 
   while( i < row->nnonzcols )
   {
      row->maxsolval = MAX(row->maxsolval, row->nonzcols[i]->solval);
      newnonzcols[k++] = row->nonzcols[i++];
   }
 
   while( j <  rowtoadd->nnonzcols )
   {
      SCIP_CALL( mod2colLinkRow(blkmem, rowtoadd->nonzcols[j], row) );
      newnonzcols[k++] = rowtoadd->nonzcols[j++];
   }
 
   row->nnonzcols = k;
   SCIP_CALL( SCIPensureBlockMemoryArray(scip, &row->nonzcols, &row->nonzcolssize, row->nnonzcols) );
   BMScopyMemoryArray(row->nonzcols, newnonzcols, row->nnonzcols);
 
   SCIPfreeBufferArray(scip, &newnonzcols);
 
   assert(row->nnonzcols == 0 || row->nonzcols != NULL);
   checkRow(row);
   checkRow(rowtoadd);
 
   return SCIP_OKAY;
}
 
/* --------------------------------------------------------------------------------------------------------------------
 * callback methods of separator
 * -------------------------------------------------------------------------------------------------------------------- */
 
/** copy method for separator plugins (called when SCIP copies plugins) */
static
SCIP_DECL_SEPACOPY(sepaCopyZerohalf)
{  /*lint --e{715}*/
   assert(scip != NULL);
   assert(sepa != NULL);
 
   SCIP_STRINGEQ( SCIPsepaGetName(sepa), SEPA_NAME, SCIP_INVALIDCALL );
 
   /* call inclusion method of constraint handler */
   SCIP_CALL( SCIPincludeSepaZerohalf(scip) );
 
   return SCIP_OKAY;
}
 
/** destructor of separator to free user data (called when SCIP is exiting) */
static
SCIP_DECL_SEPAFREE(sepaFreeZerohalf)
{
   SCIP_SEPADATA* sepadata;
 
   SCIP_STRINGEQ( SCIPsepaGetName(sepa), SEPA_NAME, SCIP_INVALIDCALL );
 
   /* free separator data */
   sepadata = SCIPsepaGetData(sepa);
   assert(sepadata != NULL);
 
   SCIPfreeBlockMemory(scip, &sepadata);
   SCIPsepaSetData(sepa, NULL);
 
   return SCIP_OKAY;
}
 
static
SCIP_DECL_SEPAINITSOL(sepaInitsolZerohalf)
{
   SCIP_SEPADATA* sepadata;
 
   SCIP_STRINGEQ( SCIPsepaGetName(sepa), SEPA_NAME, SCIP_INVALIDCALL );
 
   /* allocate random generator */
   sepadata = SCIPsepaGetData(sepa);
   assert(sepadata != NULL);
 
   assert(sepadata->randnumgen == NULL);
   SCIP_CALL( SCIPcreateRandom(scip, &sepadata->randnumgen, (unsigned int)sepadata->initseed, TRUE) );
 
   return SCIP_OKAY;
}
 
static
SCIP_DECL_SEPAEXITSOL(sepaExitsolZerohalf)
{
   SCIP_SEPADATA* sepadata;
 
   SCIP_STRINGEQ( SCIPsepaGetName(sepa), SEPA_NAME, SCIP_INVALIDCALL );
 
   /* free random generator */
   sepadata = SCIPsepaGetData(sepa);
   assert(sepadata != NULL);
 
   SCIPfreeRandom(scip, &sepadata->randnumgen);
 
   return SCIP_OKAY;
}
 
/** perform the zerohalf cut separation */
static
SCIP_RETCODE doSeparation(
   SCIP*                 scip,
   SCIP_SEPA*            sepa,
   SCIP_SOL*             sol,
   SCIP_RESULT*          result,
   SCIP_Bool             allowlocal,
   int                   depth               /* current depth */
   )
{
   int i;
   int k;
   int maxsepacuts;
   SCIP_Real maxslack;
   SCIP_SEPADATA* sepadata;
   MOD2_MATRIX mod2matrix;
   MOD2_ROW** nonzrows;
 
   assert(result != NULL);
   assert(sepa != NULL);
 
   sepadata = SCIPsepaGetData(sepa);
   assert(sepadata != NULL);
 
   {
      int ncalls = SCIPsepaGetNCallsAtNode(sepa);
 
      /* only call the zerohalf cut separator a given number of times at each node */
      if( (depth == 0 && sepadata->maxroundsroot >= 0 && ncalls >= sepadata->maxroundsroot)
         || (depth > 0 && sepadata->maxrounds >= 0 && ncalls >= sepadata->maxrounds) )
         return SCIP_OKAY;
 
      maxsepacuts = depth == 0 ? sepadata->maxsepacutsroot : sepadata->maxsepacuts;
      maxslack = depth == 0 ? sepadata->maxslackroot : sepadata->maxslack;
      maxslack += 2 * SCIPfeastol(scip);
   }
 
   *result = SCIP_DIDNOTFIND;
 
   SCIP_CALL( SCIPaggrRowCreate(scip, &sepadata->aggrrow) );
   sepadata->ncuts = 0;
   sepadata->cutssize = 0;
   sepadata->cuts = NULL;
   sepadata->infeasible = FALSE;
 
   SCIP_CALL( buildMod2Matrix(scip, sol, sepadata, SCIPblkmem(scip), &mod2matrix, allowlocal, maxslack) );
 
   SCIPdebugMsg(scip, "built mod2 matrix (%i rows, %i cols)\n", mod2matrix.nrows, mod2matrix.ncols);
 
   SCIP_CALL( SCIPallocBufferArray(scip, &nonzrows, mod2matrix.nrows) );
 
   for( k = 0; k < MAXREDUCTIONROUNDS; ++k )
   {
      int ncancel;
 
      sepadata->nreductions = 0;
 
      assert(mod2matrix.nzeroslackrows <= mod2matrix.nrows);
      SCIP_CALL( mod2matrixPreprocessRows(scip, sol, &mod2matrix, sepa, sepadata, allowlocal) );
      assert(mod2matrix.nzeroslackrows <= mod2matrix.nrows);
 
      SCIPdebugMsg(scip, "preprocessed rows (%i rows, %i cols, %i cuts) \n", mod2matrix.nrows, mod2matrix.ncols,
                   sepadata->ncuts);
 
      if( mod2matrix.nrows == 0 )
         break;
 
      if( sepadata->ncuts >= sepadata->maxcutcands )
      {
         SCIPdebugMsg(scip, "enough cuts, stopping (%i rows, %i cols)\n", mod2matrix.nrows, mod2matrix.ncols);
         break;
      }
 
      SCIP_CALL( mod2matrixPreprocessColumns(scip, &mod2matrix, sepadata) );
 
      SCIPdebugMsg(scip, "preprocessed columns (%i rows, %i cols)\n", mod2matrix.nrows, mod2matrix.ncols);
 
      ncancel = mod2matrix.nrows;
      if( ncancel > 100 )
      {
         ncancel = 100;
         SCIPselectPtr((void**) mod2matrix.rows, compareRowSlack, ncancel, mod2matrix.nrows);
      }
 
      SCIPsortPtr((void**) mod2matrix.rows, compareRowSlack, ncancel);
 
      if( mod2matrix.ncols == 0 )
         break;
 
      assert(mod2matrix.nzeroslackrows <= mod2matrix.nrows);
 
      /* apply Prop5 */
      for( i = 0; i < ncancel; ++i )
      {
         int j;
         MOD2_COL* col = NULL;
         MOD2_ROW* row = mod2matrix.rows[i];
 
         if( SCIPisPositive(scip, row->slack) || row->nnonzcols == 0 )
            continue;
 
         SCIPdebugMsg(scip, "processing row %i/%i (%i/%i cuts)\n", i, mod2matrix.nrows, sepadata->ncuts, sepadata->maxcutcands);
 
         for( j = 0; j < row->nnonzcols; ++j )
         {
            if( row->nonzcols[j]->solval == row->maxsolval ) /*lint !e777*/
            {
               col = row->nonzcols[j];
               break;
            }
         }
 
         assert( col != NULL );
 
         {
            int nslots;
            int nnonzrows;
            MOD2_ROW** rows;
 
            ++sepadata->nreductions;
 
            nnonzrows = 0;
            nslots = SCIPhashsetGetNSlots(col->nonzrows);
            rows = (MOD2_ROW**) SCIPhashsetGetSlots(col->nonzrows);
 
            for( j = 0; j < nslots; ++j )
            {
               if( rows[j] != NULL && rows[j] != row )
                  nonzrows[nnonzrows++] = rows[j];
            }
 
            for( j = 0; j < nnonzrows; ++j )
            {
               SCIP_CALL( mod2rowAddRow(scip, SCIPblkmem(scip), &mod2matrix, nonzrows[j], row) );
            }
 
            row->slack = col->solval;
            --mod2matrix.nzeroslackrows;
 
            mod2matrixRemoveCol(scip, &mod2matrix, col);
         }
      }
 
      SCIPdebugMsg(scip, "applied proposition five (%i rows, %i cols)\n", mod2matrix.nrows, mod2matrix.ncols);
 
      if( sepadata->nreductions == 0 )
      {
         SCIPdebugMsg(scip, "no change, stopping (%i rows, %i cols)\n", mod2matrix.nrows, mod2matrix.ncols);
         break;
      }
   }
 
   for( i = 0; i < mod2matrix.nrows && sepadata->ncuts < sepadata->maxcutcands; ++i )
   {
      MOD2_ROW* row = mod2matrix.rows[i];
 
      if( computeMaxViolation(row) < sepadata->minviol )
         break;
 
      if( row->rhs == 0 )
         continue;
 
      SCIP_CALL( generateZerohalfCut(scip, sol, &mod2matrix, sepa, sepadata, allowlocal, row) );
   }
 
   SCIPdebugMsg(scip, "total number of cuts found: %i\n", sepadata->ncuts);
 
   /* If cuts where found we apply a filtering procedure using the scores and the orthogonalities,
    * similar to the sepastore. We only add the cuts that make it through this process and discard
    * the rest.
    */
   if( sepadata->ncuts > 0  )
   {
      int nselectedcuts;
 
      SCIP_CALL( SCIPselectCutsHybrid(scip, sepadata->cuts, NULL, sepadata->randnumgen, sepadata->goodscore, sepadata->badscore,
            sepadata->goodmaxparall, sepadata->maxparall, sepadata->dircutoffdistweight, sepadata->efficacyweight, sepadata->objparalweight, 0.0,
            sepadata->ncuts, 0, maxsepacuts, &nselectedcuts) );
 
      for( i = 0; i < sepadata->ncuts; ++i )
      {
         if( i < nselectedcuts )
         {
            /* if selected, add global cuts to the pool and local cuts to the sepastore */
            if( SCIProwIsLocal(sepadata->cuts[i]) )
            {
               SCIP_CALL( SCIPaddRow(scip, sepadata->cuts[i], FALSE, &sepadata->infeasible) );
            }
            else
            {
               SCIP_CALL( SCIPaddPoolCut(scip, sepadata->cuts[i]) );
            }
         }
 
         /* release current cut */
         SCIP_CALL( SCIPreleaseRow(scip, &sepadata->cuts[i]) );
      }
 
      SCIPfreeBlockMemoryArray(scip, &sepadata->cuts, sepadata->cutssize);
 
      if( sepadata->infeasible )
         *result = SCIP_CUTOFF;
      else
         *result = SCIP_SEPARATED;
   }
 
   SCIPfreeBufferArray(scip, &nonzrows);
   SCIPaggrRowFree(scip, &sepadata->aggrrow);
 
   destroyMod2Matrix(scip, &mod2matrix);
 
   return SCIP_OKAY;
}
 
/** LP solution separation method of separator */
static
SCIP_DECL_SEPAEXECLP(sepaExeclpZerohalf)
{
   assert(result != NULL);
   assert(sepa != NULL);
 
   SCIP_STRINGEQ( SCIPsepaGetName(sepa), SEPA_NAME, SCIP_INVALIDCALL );
 
   *result = SCIP_DIDNOTRUN;
 
   /* only call separator, if we are not close to terminating */
   if( SCIPisStopped(scip) )
      return SCIP_OKAY;
 
   /* only call separator, if an optimal LP solution is at hand */
   if( SCIPgetLPSolstat(scip) != SCIP_LPSOLSTAT_OPTIMAL )
      return SCIP_OKAY;
 
   /* only call separator, if there are fractional variables */
   if( SCIPgetNLPBranchCands(scip) == 0 )
      return SCIP_OKAY;
 
   SCIP_CALL( doSeparation(scip, sepa, NULL, result, allowlocal, depth) );
 
   return SCIP_OKAY;
}
 
/** custom solution separation method of separator */
static
SCIP_DECL_SEPAEXECSOL(sepaExecsolZerohalf)
{
   assert(result != NULL);
   assert(sepa != NULL);
 
   SCIP_STRINGEQ( SCIPsepaGetName(sepa), SEPA_NAME, SCIP_INVALIDCALL );
 
   *result = SCIP_DIDNOTRUN;
 
   /* only call separator, if we are not close to terminating */
   if( SCIPisStopped(scip) )
      return SCIP_OKAY;
 
   SCIP_CALL( doSeparation(scip, sepa, sol, result, allowlocal, depth) );
 
   return SCIP_OKAY;
}
 
/** creates the zerohalf separator and includes it in SCIP */
SCIP_RETCODE SCIPincludeSepaZerohalf(
   SCIP*                 scip                /**< SCIP data structure */
   )
{
   SCIP_SEPADATA* sepadata;
   SCIP_SEPA* sepa;
 
   /* create zerohalf separator data */
   SCIP_CALL( SCIPallocBlockMemory(scip, &sepadata) );
   BMSclearMemory(sepadata);
 
   /* include separator */
   SCIP_CALL( SCIPincludeSepaBasic(scip, &sepa, SEPA_NAME, SEPA_DESC, SEPA_PRIORITY, SEPA_FREQ, SEPA_MAXBOUNDDIST,
                                   SEPA_USESSUBSCIP, SEPA_DELAY, sepaExeclpZerohalf, sepaExecsolZerohalf, sepadata) );
 
   assert(sepa != NULL);
 
   /* set non-NULL pointers to callback methods */
   SCIP_CALL( SCIPsetSepaCopy(scip, sepa, sepaCopyZerohalf) );
   SCIP_CALL( SCIPsetSepaFree(scip, sepa, sepaFreeZerohalf) );
   SCIP_CALL( SCIPsetSepaInitsol(scip, sepa, sepaInitsolZerohalf) );
   SCIP_CALL( SCIPsetSepaExitsol(scip, sepa, sepaExitsolZerohalf) );
 
   /* add zerohalf separator parameters */
   SCIP_CALL( SCIPaddIntParam(scip,
         "separating/" SEPA_NAME "/maxrounds",
         "maximal number of zerohalf separation rounds per node (-1: unlimited)",
         &sepadata->maxrounds, FALSE, DEFAULT_MAXROUNDS, -1, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "separating/" SEPA_NAME "/maxroundsroot",
         "maximal number of zerohalf separation rounds in the root node (-1: unlimited)",
         &sepadata->maxroundsroot, FALSE, DEFAULT_MAXROUNDSROOT, -1, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "separating/" SEPA_NAME "/maxsepacuts",
         "maximal number of zerohalf cuts separated per separation round",
         &sepadata->maxsepacuts, FALSE, DEFAULT_MAXSEPACUTS, 0, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "separating/" SEPA_NAME "/initseed",
         "initial seed used for random tie-breaking in cut selection",
         &sepadata->initseed, FALSE, DEFAULT_INITSEED, 0, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "separating/" SEPA_NAME "/maxsepacutsroot",
         "maximal number of zerohalf cuts separated per separation round in the root node",
         &sepadata->maxsepacutsroot, FALSE, DEFAULT_MAXSEPACUTSROOT, 0, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "separating/" SEPA_NAME "/maxcutcands",
         "maximal number of zerohalf cuts considered per separation round",
         &sepadata->maxcutcands, FALSE, DEFAULT_MAXCUTCANDS, 0, INT_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/maxslack",
         "maximal slack of rows to be used in aggregation",
         &sepadata->maxslack, TRUE, DEFAULT_MAXSLACK, 0.0, SCIP_REAL_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/maxslackroot",
         "maximal slack of rows to be used in aggregation in the root node",
         &sepadata->maxslackroot, TRUE, DEFAULT_MAXSLACKROOT, 0.0, SCIP_REAL_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/goodscore",
         "threshold for score of cut relative to best score to be considered good, so that less strict filtering is applied",
         &sepadata->goodscore, TRUE, DEFAULT_GOODSCORE, 0.0, 1.0, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/badscore",
         "threshold for score of cut relative to best score to be discarded",
         &sepadata->badscore, TRUE, DEFAULT_BADSCORE, 0.0, 1.0, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/objparalweight",
         "weight of objective parallelism in cut score calculation",
         &sepadata->objparalweight, TRUE, DEFAULT_OBJPARALWEIGHT, 0.0, 1.0, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/efficacyweight",
         "weight of efficacy in cut score calculation",
         &sepadata->efficacyweight, TRUE, DEFAULT_EFFICACYWEIGHT, 0.0, 1.0, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/dircutoffdistweight",
         "weight of directed cutoff distance in cut score calculation",
         &sepadata->dircutoffdistweight, TRUE, DEFAULT_DIRCUTOFFDISTWEIGHT, 0.0, 1.0, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/goodmaxparall",
         "maximum parallelism for good cuts",
         &sepadata->goodmaxparall, TRUE, DEFAULT_GOODMAXPARALL, 0.0, 1.0, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/maxparall",
         "maximum parallelism for non-good cuts",
         &sepadata->maxparall, TRUE, DEFAULT_MAXPARALL, 0.0, 1.0, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/minviol",
         "minimal violation to generate zerohalfcut for",
         &sepadata->minviol, TRUE, DEFAULT_MINVIOL, 0.0, SCIP_REAL_MAX, NULL, NULL) );
   SCIP_CALL( SCIPaddBoolParam(scip,
         "separating/" SEPA_NAME "/dynamiccuts",
         "should generated cuts be removed from the LP if they are no longer tight?",
         &sepadata->dynamiccuts, FALSE, DEFAULT_DYNAMICCUTS, NULL, NULL) );
   SCIP_CALL( SCIPaddRealParam(scip,
         "separating/" SEPA_NAME "/maxrowdensity",
         "maximal density of row to be used in aggregation",
         &sepadata->maxrowdensity, TRUE, DEFAULT_MAXROWDENSITY, 0.0, 1.0, NULL, NULL) );
   SCIP_CALL( SCIPaddIntParam(scip,
         "separating/" SEPA_NAME "/densityoffset",
         "additional number of variables allowed in row on top of density",
         &sepadata->densityoffset, TRUE, DEFAULT_DENSITYOFFSET, 0, INT_MAX, NULL, NULL) );
 
   return SCIP_OKAY;
}