Detailed Description
methods and files provided by the default cut selectors of SCIP
A detailed description what a cut selector does and how to add a cut selector to SCIP can be found here.
Modules  
Inclusion methods  
methods to include specific cut selectors into SCIP  
Functions  
SCIP_RETCODE  SCIPselectCutsDynamic (SCIP *scip, SCIP_ROW **cuts, SCIP_ROW **forcedcuts, SCIP_RANDNUMGEN *randnumgen, char filtermode, SCIP_Real mingain, SCIP_Real maxparall, SCIP_Real dircutoffdistweight, SCIP_Real efficacyweight, SCIP_Real objparalweight, SCIP_Real intsupportweight, int ncuts, int nforcedcuts, int maxselectedcuts, int *nselectedcuts) 
SCIP_RETCODE  SCIPselectCutsEnsemble (SCIP *scip, SCIP_ROW **cuts, SCIP_ROW **forcedcuts, SCIP_CUTSELDATA *cutseldata, SCIP_Bool root, int ncuts, int nforcedcuts, int maxselectedcuts, int *nselectedcuts) 
SCIP_RETCODE  SCIPselectCutsHybrid (SCIP *scip, SCIP_ROW **cuts, SCIP_ROW **forcedcuts, SCIP_RANDNUMGEN *randnumgen, SCIP_Real goodscorefac, SCIP_Real badscorefac, SCIP_Real goodmaxparall, SCIP_Real maxparall, SCIP_Real dircutoffdistweight, SCIP_Real efficacyweight, SCIP_Real objparalweight, SCIP_Real intsupportweight, int ncuts, int nforcedcuts, int maxselectedcuts, int *nselectedcuts) 
Files  
file  cutsel_dynamic.h 
dynamic cut selector  
file  cutsel_ensemble.h 
ensemble cut selector  
file  cutsel_hybrid.h 
hybrid cut selector  
Function Documentation
◆ SCIPselectCutsDynamic()
SCIP_RETCODE SCIPselectCutsDynamic  (  SCIP *  scip, 
SCIP_ROW **  cuts,  
SCIP_ROW **  forcedcuts,  
SCIP_RANDNUMGEN *  randnumgen,  
char  filtermode,  
SCIP_Real  mingain,  
SCIP_Real  maxparall,  
SCIP_Real  dircutoffdistweight,  
SCIP_Real  efficacyweight,  
SCIP_Real  objparalweight,  
SCIP_Real  intsupportweight,  
int  ncuts,  
int  nforcedcuts,  
int  maxselectedcuts,  
int *  nselectedcuts  
) 
perform a cut selection algorithm for the given array of cuts
This is an extension of the hybrid cutselector to employ a dynamic range when applying orthogonality filtering, dependent on the efficacy ratio between cuts.
The input cuts array should be resorted such that the selected cuts come first.
perform a cut selection algorithm for the given array of cuts
This is the selection method of the dynamic cut selector which implements the dynamic orthognality filtering based on the ratio of efficacies. The input cuts array gets resorted s.t the selected cuts come first and the remaining ones are the end.
 Parameters

scip SCIP data structure cuts array with cuts to perform selection algorithm forcedcuts array with forced cuts randnumgen random number generator for tiebreaking, or NULL filtermode filtering strategy during cut selection ( 'd'ynamic and 'f'ull dynamic parallelism) mingain minimum efficacy gain in percentage to filter cuts maxparall maximal parallelism for all cuts that are not good dircutoffdistweight weight of directed cutoff distance in cut score calculation efficacyweight weight of efficacy in cut score calculation objparalweight weight of objective parallelism in cut score calculation intsupportweight weight of integral support in cut score calculation ncuts number of cuts in cuts array nforcedcuts number of forced cuts maxselectedcuts maximal number of cuts from cuts array to select nselectedcuts pointer to return number of selected cuts from cuts array
Definition at line 540 of file cutsel_dynamic.c.
References computeProjectionScore(), filterWithDynamicParallelism(), NULL, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPallocBufferArray, SCIPdebugMsg, SCIPfreeBufferArray, SCIProwGetName(), scoring(), and selectBestCut().
Referenced by SCIP_DECL_CUTSELSELECT(), and SCIPincludeCutselDynamic().
◆ SCIPselectCutsEnsemble()
SCIP_RETCODE SCIPselectCutsEnsemble  (  SCIP *  scip, 
SCIP_ROW **  cuts,  
SCIP_ROW **  forcedcuts,  
SCIP_CUTSELDATA *  cutseldata,  
SCIP_Bool  root,  
int  ncuts,  
int  nforcedcuts,  
int  maxselectedcuts,  
int *  nselectedcuts  
) 
perform a cut selection algorithm for the given array of cuts
This is the selection method of the ensemble cut selector. It uses a weighted sum of normalised efficacy, normalised directed cutoff distance, normalised expected improvements, objective parallelism, integer support, sparsity, dynamism, pseudocosts, and variable locks. In addition to the weighted sum score, there are optionally parallelismbased filtering and penalties, and density filtering. There are also additional budget constraints on the number of cuts that should be added. The input cuts array gets resorted such that the selected cuts come first and the remaining ones are the end.
 Parameters

scip SCIP data structure cuts array with cuts to perform selection algorithm forcedcuts array with forced cuts cutseldata cut selector data root whether we are at the root node or not ncuts number of cuts in cuts array nforcedcuts number of forced cuts maxselectedcuts maximal number of cuts from cuts array to select nselectedcuts pointer to return number of selected cuts from cuts array
Definition at line 681 of file cutsel_ensemble.c.
References filterWithDensity(), filterWithParallelism(), NULL, penaliseWithParallelism(), SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPallocBufferArray, SCIPfreeBufferArray, SCIPgetNLPCols(), SCIProwGetNNonz(), scoring(), and selectBestCut().
Referenced by SCIP_DECL_CUTSELSELECT().
◆ SCIPselectCutsHybrid()
SCIP_RETCODE SCIPselectCutsHybrid  (  SCIP *  scip, 
SCIP_ROW **  cuts,  
SCIP_ROW **  forcedcuts,  
SCIP_RANDNUMGEN *  randnumgen,  
SCIP_Real  goodscorefac,  
SCIP_Real  badscorefac,  
SCIP_Real  goodmaxparall,  
SCIP_Real  maxparall,  
SCIP_Real  dircutoffdistweight,  
SCIP_Real  efficacyweight,  
SCIP_Real  objparalweight,  
SCIP_Real  intsupportweight,  
int  ncuts,  
int  nforcedcuts,  
int  maxselectedcuts,  
int *  nselectedcuts  
) 
perform a cut selection algorithm for the given array of cuts
This is the selection method of the hybrid cut selector which uses a weighted sum of the efficacy, parallelism, directed cutoff distance, and the integral support. The input cuts array gets resorted s.t the selected cuts come first and the remaining ones are the end.
 Parameters

scip SCIP data structure cuts array with cuts to perform selection algorithm forcedcuts array with forced cuts randnumgen random number generator for tiebreaking, or NULL goodscorefac factor of best score among the given cuts to consider a cut good and filter with less strict settings of the maximum parallelism badscorefac factor of best score among the given cuts to consider a cut bad and discard it regardless of its parallelism to other cuts goodmaxparall maximum parallelism for good cuts maxparall maximum parallelism for nongood cuts dircutoffdistweight weight of directed cutoff distance in cut score calculation efficacyweight weight of efficacy in cut score calculation objparalweight weight of objective parallelism in cut score calculation intsupportweight weight of integral support in cut score calculation ncuts number of cuts in cuts array nforcedcuts number of forced cuts maxselectedcuts maximal number of cuts from cuts array to select nselectedcuts pointer to return number of selected cuts from cuts array
Definition at line 438 of file cutsel_hybrid.c.
References filterWithParallelism(), MAX, NULL, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPallocBufferArray, SCIPfreeBufferArray, scoring(), and selectBestCut().
Referenced by doSeparation(), SCIP_DECL_CUTSELSELECT(), SCIP_DECL_SEPAEXECLP(), and separateRltCuts().