Detailed Description

Lagromory separator.

Author: Suresh Bolusani; Mark Ruben Turner; Mathieu Besançon

This separator is based on the following article that discusses Lagromory separation using the relax-and-cut framework. Multiple enhancements have been implemented on top of the basic algorithm described in the article.

Fischetti M. and Salvagnin D. (2011).
A relax-and-cut framework for Gomory mixed-integer cuts.
Mathematical Programming Computation, 3, 79-102.

Consider the following linear relaxation at a node:

\[ \begin{array}{rrl} \min & c^T x &\\ & x & \in P, \end{array} \]

where \(P\) is the feasible region of the relaxation. Let the following be the cuts generated so far in the current separation round.

\[ {\alpha^i}^T x \leq \alpha^i_0, i = 1, 2, \ldots, M \]

Then, the following is the Lagrangian dual problem considered in the relax-and-cut framework used in the separator.

\[ z_D := \max\limits_{u \geq 0} \left\{L(u) := \min \left\{c^T x + \sum\limits_{i = 1}^{M} \left(u_i \left({\alpha^i}^T x - \alpha^i_0\right) \right) \mid x \in P\right\} \right\}, \]

where \(u\) are the Lagrangian multipliers (referred to as dualvector in this separator) used for penalizing the violation of the generated cuts, and \(z_D\) is the optimal objective value (which is approximated via ubparam in this separator). Then, the following are the steps of the relax-and-cut algorithm implemented in this separator.

Generate an initial pool of cuts to build the initial Lagrangian dual problem.
Select initial values for Lagrangian multipliers \(u^0\) (e.g., all zeroes vector).
In the outer main loop \(i\) of the algorithm:
1. Solve the Lagrangian dual problem until certain termination criterion is met. This results in an inner subgradient loop, whose iteration \(j\) is described below.
  1. Fix \(u^j\), and solve the LP corresponding to the Lagrangian dual with fixed multipliers. Gather its optimal simplex tableau and optimal objective value (i.e., the Lagrangian value) \(L(u^j)\).
  2. Update \(u^j\) to \(u^{j+1}\) as follows.
    \[ u^{j+1} = \left(u^j + \lambda_j s^k\right)_+, \]
    where \(\lambda_j\) is the step length:
    \[ \lambda_j = \frac{\mu_j (UB - L(u^j))}{\|s^j\|^2_2}, \]
    where \(mu_j\) is a factor (i.e., muparam) such that \(0 < \mu_j \leq 2\), UB is ubparam, and \(s^j\) is the subgradient vector defined as:
    \[ s^j_k = \left({\alpha^k}^T x - \alpha^k_0\right), k = 1, 2, \ldots, M. \]
    The factor \(mu_j\) is updated as below.
    \[ mu_j = \begin{cases} mubacktrackfactor * mu_j & \text{if } L(u^j) < bestLB - \delta\\ \begin{cases} muslab1factor * mu_j & \text{if } bestLB - avgLB < deltaslab1ub * delta\\ muslab2factor * mu_j & \text{if } deltaslab1ub * \delta \leq bestLB - avgLB < deltaslab2ub * delta\\ muslab3factor * mu_j & \text{otherwise} \end{cases} & \text{otherwise}, \end{cases} \]
    where \(bestLB\) and \(avgLB\) are best and average Lagrangian values found so far, and \(\delta = UB - bestLB\).
  3. Stabilize \(u^{j+1}\) by projecting onto a norm ball followed by taking a convex combination with a core vector of Lagrangian multipliers.
  4. Generate GMI cuts based on the optimal simplex tableau.
  5. Relax the newly generated cuts by penalizing and adding them to the objective function.
  6. Go to the next iteration \(j+1\).
2. Gather all the generated cuts and build an LP by adding all these cuts to the node relaxation.
3. Solve this LP to obtain its optimal primal and dual solutions.
4. If this primal solution is MIP primal feasible, then add this solution to the solution pool, add all the generated cuts to the cutpool or sepastore as needed, and exit the separator.
5. Otherwise, update the Lagrangian multipliers based on this optimal dual solution, and go to the next iteration \(i+1\).

Definition in file sepa_lagromory.c.

#include "scip/heur_trysol.h"
#include "scip/sepa_lagromory.h"

Go to the source code of this file.

Macros
#define	SEPA_NAME "lagromory"
#define	SEPA_DESC "separator for Lagromory cuts for MIP relaxations"
#define	SEPA_PRIORITY -8000
#define	SEPA_FREQ -1
#define	SEPA_MAXBOUNDDIST 1.0
#define	SEPA_USESSUBSCIP FALSE
#define	SEPA_DELAY FALSE
#define	DEFAULT_AWAY 0.01
#define	DEFAULT_DELAYEDCUTS FALSE
#define	DEFAULT_SEPARATEROWS TRUE
#define	DEFAULT_SORTCUTOFFSOL TRUE
#define	DEFAULT_SIDETYPEBASIS TRUE
#define	DEFAULT_DYNAMICCUTS TRUE
#define	DEFAULT_MAKEINTEGRAL FALSE
#define	DEFAULT_FORCECUTS FALSE
#define	DEFAULT_ALLOWLOCAL FALSE
#define	DEFAULT_MAXROUNDSROOT 1
#define	DEFAULT_MAXROUNDS 1
#define	DEFAULT_DUALDEGENERACYRATETHRESHOLD 0.5
#define	DEFAULT_VARCONSRATIOTHRESHOLD 1.0
#define	DEFAULT_MINRESTART 1
#define	DEFAULT_PERLPMAXCUTSROOT 50
#define	DEFAULT_PERLPMAXCUTS 10
#define	DEFAULT_PERROUNDLPITERLIMITFACTOR -1.0
#define	DEFAULT_ROOTLPITERLIMITFACTOR -1.0
#define	DEFAULT_TOTALLPITERLIMITFACTOR -1.0
#define	DEFAULT_PERROUNDMAXLPITERS 50000
#define	DEFAULT_PERROUNDCUTSFACTORROOT 1.0
#define	DEFAULT_PERROUNDCUTSFACTOR 0.5
#define	DEFAULT_TOTALCUTSFACTOR 50.0
#define	DEFAULT_MAXMAINITERS 4
#define	DEFAULT_MAXSUBGRADIENTITERS 6
#define	DEFAULT_MUPARAMCONST TRUE
#define	DEFAULT_MUPARAMINIT 0.01
#define	DEFAULT_MUPARAMLB 0.0
#define	DEFAULT_MUPARAMUB 2.0
#define	DEFAULT_MUBACKTRACKFACTOR 0.5
#define	DEFAULT_MUSLAB1FACTOR 10.0
#define	DEFAULT_MUSLAB2FACTOR 2.0
#define	DEFAULT_MUSLAB3FACTOR 0.5
#define	DEFAULT_DELTASLAB1UB 0.001
#define	DEFAULT_DELTASLAB2UB 0.01
#define	DEFAULT_UBPARAMPOSFACTOR 2.0
#define	DEFAULT_UBPARAMNEGFACTOR 0.5
#define	DEFAULT_MAXLAGRANGIANVALSFORAVG 2
#define	DEFAULT_MAXCONSECITERSFORMUUPDATE 10
#define	DEFAULT_PERROOTLPITERFACTOR 0.2
#define	DEFAULT_PERLPITERFACTOR 0.1
#define	DEFAULT_CUTGENFREQ 1
#define	DEFAULT_CUTADDFREQ 1
#define	DEFAULT_CUTSFILTERFACTOR 1.0
#define	DEFAULT_OPTIMALFACEPRIORITY 2
#define	DEFAULT_AGGREGATECUTS TRUE
#define	DEFAULT_PROJECTIONTYPE 2
#define	DEFAULT_STABILITYCENTERTYPE 1
#define	DEFAULT_RADIUSINIT 0.5
#define	DEFAULT_RADIUSMAX 20.0
#define	DEFAULT_RADIUSMIN 1e-6
#define	DEFAULT_CONST 2.0
#define	DEFAULT_RADIUSUPDATEWEIGHT 0.98
#define	RANDSEED 42
#define	MAKECONTINTEGRAL FALSE
#define	POSTPROCESS TRUE
#define	BOUNDSWITCH 0.9999
#define	VARTYPEUSEVBDS 2
#define	FIXINTEGRALRHS FALSE
#define	MAXAGGRLEN(ncols)

Functions
static SCIP_RETCODE	createLPWithSoftCuts (SCIP scip, SCIP_SEPADATA sepadata)
static SCIP_RETCODE	deleteLPWithSoftCuts (SCIP scip, SCIP_SEPADATA sepadata)
static SCIP_RETCODE	createLPWithHardCuts (SCIP scip, SCIP_SEPADATA sepadata, SCIP_ROW **cuts, int ncuts)
static SCIP_RETCODE	sepadataFree (SCIP scip, SCIP_SEPADATA *sepadata)
static SCIP_RETCODE	updateMuSteplengthParam (SCIP scip, SCIP_SEPADATA sepadata, int subgradientiternum, SCIP_Real ubparam, SCIP_Real lagrangianvals, SCIP_Real bestlagrangianval, SCIP_Real avglagrangianval, SCIP_Real muparam, SCIP_Bool *backtrack)
static void	updateSubgradient (SCIP scip, SCIP_SOL sol, SCIP_ROW *cuts, int ncuts, SCIP_Real subgradient, SCIP_Real dualvector, SCIP_Bool subgradientzero, int ncutviols, SCIP_Real maxcutviol, int nnzsubgradientdualprod, SCIP_Real maxnzsubgradientdualprod)
static void	updateLagrangianValue (SCIP scip, SCIP_Real objval, SCIP_Real dualvector, SCIP_ROW *cuts, int ncuts, SCIP_Real lagrangianval)
static void	updateStepLength (SCIP scip, SCIP_Real muparam, SCIP_Real ubparam, SCIP_Real lagrangianval, SCIP_Real subgradient, int ncuts, SCIP_Real *steplength)
static void	updateBallRadius (SCIP scip, SCIP_SEPADATA sepadata, SCIP_Real maxviolscore, SCIP_Real maxviolscoreold, SCIP_Real nviolscore, SCIP_Real nviolscoreold, int nlpiters, SCIP_Real *ballradius)
static SCIP_RETCODE	l1BallProjection (SCIP scip, SCIP_Real dualvector, int dualvectorlen, SCIP_Real radius)
static void	l2BallProjection (SCIP scip, SCIP_Real dualvector, int dualvectorlen, SCIP_Real radius)
static void	linfBallProjection (SCIP scip, SCIP_Real dualvector, int dualvectorlen, SCIP_Real radius)
static void	weightedDualVector (SCIP_SEPADATA sepadata, SCIP_Real dualvector, int dualvectorlen, SCIP_Real *stabilitycenter, int stabilitycenterlen, int nbestdualupdates, int totaliternum)
static SCIP_RETCODE	stabilizeDualVector (SCIP scip, SCIP_SEPADATA sepadata, SCIP_Real dualvector, int dualvectorlen, SCIP_Real bestdualvector, int bestdualvectorlen, int nbestdualupdates, int subgradientiternum, int totaliternum, SCIP_Real maxviolscore, SCIP_Real maxviolscoreold, SCIP_Real nviolscore, SCIP_Real nviolscoreold, int nlpiters, SCIP_Real *ballradius)
static SCIP_RETCODE	updateDualVector (SCIP scip, SCIP_SEPADATA sepadata, SCIP_Real dualvector1, SCIP_Real dualvector2, int dualvector2len, int ndualvector2updates, int subgradientiternum, int totaliternum, SCIP_Real steplength, SCIP_Real subgradient, int ncuts, SCIP_Bool backtrack, SCIP_Real maxviolscore, SCIP_Real maxviolscoreold, SCIP_Real nviolscore, SCIP_Real nviolscoreold, int nlpiters, SCIP_Bool dualvecsdiffer, SCIP_Real *ballradius)
static SCIP_RETCODE	checkLagrangianDualTermination (SCIP_SEPADATA sepadata, int nnewaddedsoftcuts, int nyettoaddsoftcuts, SCIP_Bool objvecsdiffer, int ngeneratedcurrroundcuts, int nmaxgeneratedperroundcuts, int ncurrroundlpiters, int depth, SCIP_Bool terminate)
static SCIP_RETCODE	solveLagromoryLP (SCIP scip, SCIP_SEPADATA sepadata, int depth, SCIP_Real origobjoffset, SCIP_Bool solfound, SCIP_SOL sol, SCIP_Real solvals, SCIP_Real objval, int *ncurrroundlpiters)
static SCIP_RETCODE	solveLPWithHardCuts (SCIP scip, SCIP_SEPADATA sepadata, SCIP_Bool solfound, SCIP_SOL sol, SCIP_Real *solvals)
static SCIP_RETCODE	constructCutRow (SCIP scip, SCIP_SEPA sepa, SCIP_SEPADATA sepadata, int mainiternum, int subgradientiternum, int cutnnz, int cutinds, SCIP_Real cutcoefs, SCIP_Real cutefficacy, SCIP_Real cutrhs, SCIP_Bool cutislocal, int cutrank, SCIP_ROW generatedcuts, SCIP_Real generatedcutefficacies, int ngeneratedcurrroundcuts, int ngeneratednewcuts, SCIP_Bool cutoff)
static SCIP_RETCODE	aggregateGeneratedCuts (SCIP scip, SCIP_SEPA sepa, SCIP_SEPADATA sepadata, SCIP_ROW generatedcuts, SCIP_Real bestdualvector, int bestdualvectorlen, SCIP_ROW *aggrcuts, int naggrcuts, SCIP_Bool *cutoff)
static SCIP_RETCODE	generateGMICuts (SCIP scip, SCIP_SEPA sepa, SCIP_SEPADATA sepadata, int mainiternum, int subgradientiternum, SCIP_SOL sol, SCIP_Real solvals, int nmaxgeneratedperroundcuts, SCIP_Bool allowlocal, SCIP_ROW generatedcurrroundcuts, SCIP_Real generatedcutefficacies, int ngeneratedcurrroundcuts, int ngeneratednewcuts, int depth, SCIP_Bool cutoff)
static SCIP_RETCODE	updateObjectiveVector (SCIP scip, SCIP_Real dualvector, SCIP_ROW *cuts, int ncuts, SCIP_Real origobjcoefs, SCIP_Bool *objvecsdiffer)
static SCIP_RETCODE	addGMICutsAsSoftConss (SCIP_Real dualvector, int ngeneratedcuts, int naddedcuts, int *nnewaddedsoftcuts)
static SCIP_RETCODE	solveLagrangianDual (SCIP scip, SCIP_SEPA sepa, SCIP_SEPADATA sepadata, SCIP_SOL sol, SCIP_Real solvals, int mainiternum, SCIP_Real ubparam, int depth, SCIP_Bool allowlocal, int nmaxgeneratedperroundcuts, SCIP_Real origobjcoefs, SCIP_Real origobjoffset, SCIP_Real dualvector, int nsoftcuts, SCIP_ROW *generatedcurrroundcuts, SCIP_Real generatedcutefficacies, int ngeneratedcutsperiter, int ngeneratedcurrroundcuts, int ncurrroundlpiters, SCIP_Bool cutoff, SCIP_Real bestlagrangianval, SCIP_Real bestdualvector, int bestdualvectorlen, int nbestdualupdates, int *totaliternum)
static SCIP_RETCODE	generateInitCutPool (SCIP scip, SCIP_SEPA sepa, SCIP_SEPADATA sepadata, int mainiternum, SCIP_SOL sol, SCIP_Real solvals, int nmaxgeneratedperroundcuts, SCIP_Bool allowlocal, SCIP_ROW generatedcurrroundcuts, SCIP_Real generatedcutefficacies, int ngeneratedcutsperiter, int ngeneratedcurrroundcuts, int depth, SCIP_Bool *cutoff)
static SCIP_RETCODE	addCuts (SCIP scip, SCIP_SEPADATA sepadata, SCIP_ROW *cuts, int ncuts, SCIP_Longint maxdnom, SCIP_Real maxscale, int naddedcuts, SCIP_Bool *cutoff)
static SCIP_RETCODE	checkMainLoopTermination (SCIP_SEPADATA sepadata, SCIP_Bool cutoff, SCIP_Bool dualvecsdiffer, int ngeneratedcurrroundcuts, int nsoftcuts, int nmaxgeneratedperroundcuts, int ncurrroundlpiters, int depth, SCIP_Bool terminate)
static SCIP_RETCODE	separateCuts (SCIP scip, SCIP_SEPA sepa, SCIP_SEPADATA sepadata, SCIP_Real ubparam, int depth, SCIP_Bool allowlocal, SCIP_RESULT result)
static SCIP_RETCODE	sepadataCreate (SCIP scip, SCIP_SEPADATA *sepadata)
static	SCIP_DECL_SEPACOPY (sepaCopyLagromory)
static	SCIP_DECL_SEPAFREE (sepaFreeLagromory)
static	SCIP_DECL_SEPAINIT (sepaInitLagromory)
static	SCIP_DECL_SEPAEXIT (sepaExitLagromory)
static	SCIP_DECL_SEPAEXECLP (sepaExeclpLagromory)
SCIP_RETCODE	SCIPincludeSepaLagromory (SCIP *scip)

Macro Definition Documentation

◆ SEPA_NAME

#define SEPA_NAME "lagromory"

Definition at line 138 of file sepa_lagromory.c.

◆ SEPA_DESC

#define SEPA_DESC "separator for Lagromory cuts for MIP relaxations"

Definition at line 139 of file sepa_lagromory.c.

◆ SEPA_PRIORITY

#define SEPA_PRIORITY -8000

Definition at line 140 of file sepa_lagromory.c.

◆ SEPA_FREQ

#define SEPA_FREQ -1

Definition at line 141 of file sepa_lagromory.c.

◆ SEPA_MAXBOUNDDIST

#define SEPA_MAXBOUNDDIST 1.0

Definition at line 142 of file sepa_lagromory.c.

◆ SEPA_USESSUBSCIP

#define SEPA_USESSUBSCIP FALSE

does the separator use a secondary SCIP instance?

Definition at line 143 of file sepa_lagromory.c.

◆ SEPA_DELAY

#define SEPA_DELAY FALSE

should separation method be delayed, if other separators found cuts?

Definition at line 144 of file sepa_lagromory.c.

◆ DEFAULT_AWAY

#define DEFAULT_AWAY 0.01

minimal integrality violation of a basis variable to try separation

Definition at line 147 of file sepa_lagromory.c.

◆ DEFAULT_DELAYEDCUTS

#define DEFAULT_DELAYEDCUTS FALSE

should cuts be added to the delayed cut pool?

Definition at line 148 of file sepa_lagromory.c.

◆ DEFAULT_SEPARATEROWS

#define DEFAULT_SEPARATEROWS TRUE

separate rows with integral slack?

Definition at line 149 of file sepa_lagromory.c.

◆ DEFAULT_SORTCUTOFFSOL

#define DEFAULT_SORTCUTOFFSOL TRUE

sort fractional integer columns based on fractionality?

Definition at line 150 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_SIDETYPEBASIS

#define DEFAULT_SIDETYPEBASIS TRUE

choose side types of row (lhs/rhs) based on basis information?

Definition at line 151 of file sepa_lagromory.c.

◆ DEFAULT_DYNAMICCUTS

#define DEFAULT_DYNAMICCUTS TRUE

should generated cuts be removed from the LP if they are no longer tight?

Definition at line 152 of file sepa_lagromory.c.

◆ DEFAULT_MAKEINTEGRAL

#define DEFAULT_MAKEINTEGRAL FALSE

try to scale all cuts to integral coefficients?

Definition at line 153 of file sepa_lagromory.c.

◆ DEFAULT_FORCECUTS

#define DEFAULT_FORCECUTS FALSE

force cuts to be added to the LP?

Definition at line 154 of file sepa_lagromory.c.

◆ DEFAULT_ALLOWLOCAL

#define DEFAULT_ALLOWLOCAL FALSE

should locally valid cuts be generated?

Definition at line 155 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MAXROUNDSROOT

#define DEFAULT_MAXROUNDSROOT 1

maximal number of separation rounds in the root node (-1: unlimited)

Definition at line 158 of file sepa_lagromory.c.

◆ DEFAULT_MAXROUNDS

#define DEFAULT_MAXROUNDS 1

maximal number of separation rounds per node (-1: unlimited)

Definition at line 159 of file sepa_lagromory.c.

◆ DEFAULT_DUALDEGENERACYRATETHRESHOLD

#define DEFAULT_DUALDEGENERACYRATETHRESHOLD 0.5

minimum dual degeneracy rate for separator execution

Definition at line 160 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_VARCONSRATIOTHRESHOLD

#define DEFAULT_VARCONSRATIOTHRESHOLD 1.0

minimum variable-constraint ratio on optimal face for separator execution

Definition at line 161 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MINRESTART

#define DEFAULT_MINRESTART 1

minimum restart round for separator execution (0: from beginning of the instance solving, >= n with n >= 1: from restart round n)

Definition at line 162 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PERLPMAXCUTSROOT

#define DEFAULT_PERLPMAXCUTSROOT 50

maximal number of cuts separated per Lagromory LP in the root node

Definition at line 164 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PERLPMAXCUTS

#define DEFAULT_PERLPMAXCUTS 10

maximal number of cuts separated per Lagromory LP in the non-root node

Definition at line 165 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PERROUNDLPITERLIMITFACTOR

#define DEFAULT_PERROUNDLPITERLIMITFACTOR -1.0

factor w.r.t. root node LP iterations for maximal separating LP iterations per separation round (negative for no limit)

Definition at line 166 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_ROOTLPITERLIMITFACTOR

#define DEFAULT_ROOTLPITERLIMITFACTOR -1.0

factor w.r.t. root node LP iterations for maximal separating LP iterations in the root node (negative for no limit)

Definition at line 168 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_TOTALLPITERLIMITFACTOR

#define DEFAULT_TOTALLPITERLIMITFACTOR -1.0

factor w.r.t. root node LP iterations for maximal separating LP iterations in the tree (negative for no limit)

Definition at line 170 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PERROUNDMAXLPITERS

#define DEFAULT_PERROUNDMAXLPITERS 50000

maximal number of separating LP iterations per separation round (-1: unlimited)

Definition at line 172 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PERROUNDCUTSFACTORROOT

#define DEFAULT_PERROUNDCUTSFACTORROOT 1.0

factor w.r.t. number of integer columns for number of cuts separated per separation round in root node

Definition at line 173 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PERROUNDCUTSFACTOR

#define DEFAULT_PERROUNDCUTSFACTOR 0.5

factor w.r.t. number of integer columns for number of cuts separated per separation round at a non-root node

Definition at line 175 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_TOTALCUTSFACTOR

#define DEFAULT_TOTALCUTSFACTOR 50.0

factor w.r.t. number of integer columns for total number of cuts separated

Definition at line 177 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MAXMAINITERS

#define DEFAULT_MAXMAINITERS 4

maximal number of main loop iterations of the relax-and-cut algorithm

Definition at line 178 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MAXSUBGRADIENTITERS

#define DEFAULT_MAXSUBGRADIENTITERS 6

maximal number of subgradient loop iterations of the relax-and-cut algorithm

Definition at line 179 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MUPARAMCONST

#define DEFAULT_MUPARAMCONST TRUE

is the mu parameter (factor for step length) constant?

Definition at line 182 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MUPARAMINIT

#define DEFAULT_MUPARAMINIT 0.01

initial value of the mu parameter (factor for step length)

Definition at line 183 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MUPARAMLB

#define DEFAULT_MUPARAMLB 0.0

lower bound for the mu parameter (factor for step length)

Definition at line 184 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MUPARAMUB

#define DEFAULT_MUPARAMUB 2.0

upper bound for the mu parameter (factor for step length)

Definition at line 185 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MUBACKTRACKFACTOR

#define DEFAULT_MUBACKTRACKFACTOR 0.5

factor of mu while backtracking the mu parameter (factor for step length) - see updateMuSteplengthParam()

Definition at line 186 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MUSLAB1FACTOR

#define DEFAULT_MUSLAB1FACTOR 10.0

factor of mu parameter (factor for step length) for larger increment - see updateMuSteplengthParam()

Definition at line 188 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MUSLAB2FACTOR

#define DEFAULT_MUSLAB2FACTOR 2.0

factor of mu parameter (factor for step length) for smaller increment - see updateMuSteplengthParam()

Definition at line 190 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MUSLAB3FACTOR

#define DEFAULT_MUSLAB3FACTOR 0.5

factor of mu parameter (factor for step length) for reduction - see updateMuSteplengthParam()

Definition at line 192 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_DELTASLAB1UB

#define DEFAULT_DELTASLAB1UB 0.001

factor of delta deciding larger increment of mu parameter (factor for step length) - see updateMuSteplengthParam()

Definition at line 194 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_DELTASLAB2UB

#define DEFAULT_DELTASLAB2UB 0.01

factor of delta deciding smaller increment of mu parameter (factor for step length) - see updateMuSteplengthParam()

Definition at line 196 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_UBPARAMPOSFACTOR

#define DEFAULT_UBPARAMPOSFACTOR 2.0

factor for positive upper bound used as an estimate for the optimal Lagrangian dual value

Definition at line 198 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_UBPARAMNEGFACTOR

#define DEFAULT_UBPARAMNEGFACTOR 0.5

factor for negative upper bound used as an estimate for the optimal Lagrangian dual value

Definition at line 200 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MAXLAGRANGIANVALSFORAVG

#define DEFAULT_MAXLAGRANGIANVALSFORAVG 2

maximal number of iterations for rolling average of Lagrangian value

Definition at line 202 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_MAXCONSECITERSFORMUUPDATE

#define DEFAULT_MAXCONSECITERSFORMUUPDATE 10

consecutive number of iterations used to determine if mu needs to be backtracked

Definition at line 203 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PERROOTLPITERFACTOR

#define DEFAULT_PERROOTLPITERFACTOR 0.2

factor w.r.t. root node LP iterations for iteration limit of each separating LP (negative for no limit)

Definition at line 204 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PERLPITERFACTOR

#define DEFAULT_PERLPITERFACTOR 0.1

factor w.r.t. non-root node LP iterations for iteration limit of each separating LP (negative for no limit)

Definition at line 206 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_CUTGENFREQ

#define DEFAULT_CUTGENFREQ 1

frequency of subgradient iterations for generating cuts

Definition at line 208 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_CUTADDFREQ

#define DEFAULT_CUTADDFREQ 1

frequency of subgradient iterations for adding cuts to objective function

Definition at line 209 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_CUTSFILTERFACTOR

#define DEFAULT_CUTSFILTERFACTOR 1.0

fraction of generated cuts per explored basis to accept from separator

Definition at line 210 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_OPTIMALFACEPRIORITY

#define DEFAULT_OPTIMALFACEPRIORITY 2

priority of the optimal face for separator execution (0: low priority, 1: medium priority, 2: high priority)

Definition at line 211 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_AGGREGATECUTS

#define DEFAULT_AGGREGATECUTS TRUE

aggregate all generated cuts using the Lagrangian multipliers?

Definition at line 213 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_PROJECTIONTYPE

#define DEFAULT_PROJECTIONTYPE 2

the ball into which the Lagrangian multipliers are projected for stabilization (0: no projection, 1: L1-norm ball projection, 2: L2-norm ball projection, 3: L_inf-norm ball projection)

Definition at line 216 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_STABILITYCENTERTYPE

#define DEFAULT_STABILITYCENTERTYPE 1

type of stability center for taking weighted average of Lagrangian multipliers for stabilization (0: no weighted stabilization, 1: best Lagrangian multipliers)

Definition at line 219 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_RADIUSINIT

#define DEFAULT_RADIUSINIT 0.5

initial radius of the ball used in stabilization of Lagrangian multipliers

Definition at line 221 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_RADIUSMAX

#define DEFAULT_RADIUSMAX 20.0

maximum radius of the ball used in stabilization of Lagrangian multipliers

Definition at line 222 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_RADIUSMIN

#define DEFAULT_RADIUSMIN 1e-6

minimum radius of the ball used in stabilization of Lagrangian multipliers

Definition at line 223 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_CONST

#define DEFAULT_CONST 2.0

a constant for stablity center based stabilization of Lagrangian multipliers

Definition at line 224 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ DEFAULT_RADIUSUPDATEWEIGHT

#define DEFAULT_RADIUSUPDATEWEIGHT 0.98

multiplier to evaluate cut violation score used for updating ball radius

Definition at line 225 of file sepa_lagromory.c.

Referenced by SCIPincludeSepaLagromory().

◆ RANDSEED

#define RANDSEED 42

random seed

Definition at line 228 of file sepa_lagromory.c.

◆ MAKECONTINTEGRAL

#define MAKECONTINTEGRAL FALSE

convert continuous variable to integral variables in SCIPmakeRowIntegral()?

Definition at line 229 of file sepa_lagromory.c.

◆ POSTPROCESS

#define POSTPROCESS TRUE

apply postprocessing after MIR calculation? - see SCIPcalcMIR()

Definition at line 230 of file sepa_lagromory.c.

◆ BOUNDSWITCH

#define BOUNDSWITCH 0.9999

threshold for bound switching - see SCIPcalcMIR()

Definition at line 231 of file sepa_lagromory.c.

◆ VARTYPEUSEVBDS

#define VARTYPEUSEVBDS 2

We allow variable bound substitution for variables with continuous vartype only. See SCIPcalcMIR() for more information.

Definition at line 232 of file sepa_lagromory.c.

◆ FIXINTEGRALRHS

#define FIXINTEGRALRHS FALSE

try to generate an integral rhs? - see SCIPcalcMIR()

Definition at line 234 of file sepa_lagromory.c.

◆ MAXAGGRLEN

#define MAXAGGRLEN ( ncols )

Value:

(0.1*(ncols)+1000)

maximal length of base inequality

Definition at line 235 of file sepa_lagromory.c.

Function Documentation

◆ createLPWithSoftCuts()

SCIP_RETCODE createLPWithSoftCuts	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata )

static

start the diving mode for solving LPs corresponding to the Lagrangian dual with fixed multipliers in the subgradient loop of the separator, and update some sepadata values

Parameters

scip	SCIP data structure
sepadata	separator data structure

Definition at line 351 of file sepa_lagromory.c.

References assert(), i, MIN, NULL, SCIP_CALL, SCIP_Longint, SCIP_OKAY, SCIPcolIsIntegral(), SCIPgetLPColsData(), SCIPgetLPI(), SCIPgetLPRowsData(), SCIPgetNRootFirstLPIterations(), SCIPgetNRuns(), SCIPisInfinity(), SCIPstartDive(), and sepadata.

Referenced by separateCuts().

◆ deleteLPWithSoftCuts()

SCIP_RETCODE deleteLPWithSoftCuts	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata )

static

end the diving mode that was used for solving LPs corresponding to the Lagrangian dual with fixed multipliers

Parameters

scip	SCIP data structure
sepadata	separator data structure

Definition at line 432 of file sepa_lagromory.c.

References assert(), NULL, SCIP_CALL, SCIP_OKAY, SCIPendDive(), and sepadata.

Referenced by separateCuts().

◆ createLPWithHardCuts()

SCIP_RETCODE createLPWithHardCuts	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata,
		SCIP_ROW **	cuts,
		int	ncuts )

static

set up LP interface to solve LPs in the (outer) main loop of the relax-and-cut algorithm; these LPs are built by adding all the generated cuts to the node relaxation

Parameters

scip	SCIP data structure
sepadata	separator data structure
cuts	generated cuts to be added to the LP
ncuts	number of generated cuts to be added to the LP

Definition at line 449 of file sepa_lagromory.c.

References assert(), i, NULL, SCIP_CALL, SCIP_OBJSEN_MINIMIZE, SCIP_OKAY, SCIP_Real, SCIPallocBufferArray, SCIPblkmem(), SCIPcolGetLb(), SCIPcolGetLPPos(), SCIPcolGetObj(), SCIPcolGetUb(), SCIPfreeBufferArray, SCIPgetLPColsData(), SCIPgetLPI(), SCIPgetLPRowsData(), SCIPgetMessagehdlr(), SCIPisInfinity(), SCIPlpiAddCols(), SCIPlpiAddRows(), SCIPlpiCreate(), SCIPlpiFree(), SCIPlpiFreeState(), SCIPlpiGetState(), SCIPlpiInfinity(), SCIPlpiSetState(), SCIProwGetCols(), SCIProwGetConstant(), SCIProwGetLhs(), SCIProwGetNLPNonz(), SCIProwGetNNonz(), SCIProwGetRhs(), SCIProwGetVals(), and sepadata.

Referenced by separateCuts().

◆ sepadataFree()

SCIP_RETCODE sepadataFree	(	SCIP *	scip,
		SCIP_SEPADATA **	sepadata )

static

free separator data

Parameters

scip	SCIP data structure
sepadata	separator data structure

Definition at line 648 of file sepa_lagromory.c.

References assert(), NULL, SCIP_CALL, SCIP_OKAY, SCIPfreeBlockMemory, SCIPlpiFree(), and sepadata.

Referenced by SCIP_DECL_SEPAFREE().

◆ updateMuSteplengthParam()

SCIP_RETCODE updateMuSteplengthParam	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata,
		int	subgradientiternum,
		SCIP_Real	ubparam,
		SCIP_Real *	lagrangianvals,
		SCIP_Real	bestlagrangianval,
		SCIP_Real	avglagrangianval,
		SCIP_Real *	muparam,
		SCIP_Bool *	backtrack )

static

update mu parameter which is used as a factor in the step length calculation; refer to the top of the file for a description of the formula.

Parameters

scip	SCIP data structure
sepadata	separator data structure
subgradientiternum	subgradient iteration number
ubparam	estimate of the optimal Lagrangian dual value
lagrangianvals	vector of Lagrangian values found so far
bestlagrangianval	best Lagrangian value found so far
avglagrangianval	rolling average of the Lagrangian values found so far
muparam	mu parameter to be updated
backtrack	whether mu parameter has been backtracked

Definition at line 684 of file sepa_lagromory.c.

References assert(), FALSE, i, MAX, MIN, NULL, SCIP_Bool, SCIP_OKAY, SCIP_Real, SCIPisGE(), SCIPisPositive(), sepadata, and TRUE.

Referenced by solveLagrangianDual().

◆ updateSubgradient()

void updateSubgradient	(	SCIP *	scip,
		SCIP_SOL *	sol,
		SCIP_ROW **	cuts,
		int	ncuts,
		SCIP_Real *	subgradient,
		SCIP_Real *	dualvector,
		SCIP_Bool *	subgradientzero,
		int *	ncutviols,
		SCIP_Real *	maxcutviol,
		int *	nnzsubgradientdualprod,
		SCIP_Real *	maxnzsubgradientdualprod )

static

update subgradient, i.e., residuals of generated cuts

Note: assuming that \(i^{th}\) cut is of the form \({\alpha^i}^T x \leq {\alpha^i_0}\).

Parameters

scip	SCIP data structure
sol	LP solution used in updating subgradient vector
cuts	cuts generated so far
ncuts	number of cuts generated so far
subgradient	vector of subgradients to be updated
dualvector	Lagrangian multipliers
subgradientzero	whether the subgradient vector is all zero
ncutviols	number of violations of generated cuts
maxcutviol	maximum violation of generated cuts
nnzsubgradientdualprod	number of nonzero products of subgradient vector and Lagrangian multipliers (i.e., number of complementarity slackness violations)
maxnzsubgradientdualprod	maximum value of nonzero products of subgradient vector and Lagrangian multipliers (i.e., maximum value of complementarity slackness violations)

Definition at line 808 of file sepa_lagromory.c.

References assert(), FALSE, i, MAX, NULL, REALABS, SCIP_Bool, SCIP_Real, SCIPgetRowSolActivity(), SCIPisFeasPositive(), SCIPisFeasZero(), SCIPisInfinity(), SCIPisZero(), SCIProwGetConstant(), SCIProwGetLhs(), SCIProwGetRhs(), sol, and TRUE.

Referenced by solveLagrangianDual().

◆ updateLagrangianValue()

void updateLagrangianValue	(	SCIP *	scip,
		SCIP_Real	objval,
		SCIP_Real *	dualvector,
		SCIP_ROW **	cuts,
		int	ncuts,
		SCIP_Real *	lagrangianval )

static

update Lagrangian value, i.e., optimal value of the Lagrangian dual with fixed multipliers

Parameters

scip	SCIP data structure
objval	objective value of the Lagrangian dual with fixed multipliers
dualvector	Lagrangian multipliers
cuts	cuts generated so far
ncuts	number of cuts generated so far
lagrangianval	Lagrangian value to be updated

Definition at line 879 of file sepa_lagromory.c.

References assert(), i, NULL, objval, SCIP_Real, SCIPisInfinity(), SCIProwGetConstant(), SCIProwGetLhs(), and SCIProwGetRhs().

Referenced by solveLagrangianDual().

◆ updateStepLength()

void updateStepLength	(	SCIP *	scip,
		SCIP_Real	muparam,
		SCIP_Real	ubparam,
		SCIP_Real	lagrangianval,
		SCIP_Real *	subgradient,
		int	ncuts,
		SCIP_Real *	steplength )

static

update step length based on various input arguments; refer to the top of the file for an expression

Parameters

scip	SCIP data structure
muparam	mu parameter used as a factor for step length
ubparam	estimate of the optimal Lagrangian dual value
lagrangianval	Lagrangian value
subgradient	subgradient vector
ncuts	number of cuts generated so far
steplength	step length to be updated

Definition at line 904 of file sepa_lagromory.c.

References i, SCIP_Real, SCIPisFeasZero(), and SQR.

Referenced by solveLagrangianDual().

◆ updateBallRadius()

void updateBallRadius	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata,
		SCIP_Real	maxviolscore,
		SCIP_Real	maxviolscoreold,
		SCIP_Real	nviolscore,
		SCIP_Real	nviolscoreold,
		int	nlpiters,
		SCIP_Real *	ballradius )

static

update the ball radius (based on various violation metrics) that is used for stabilization of Lagrangian multipliers

Parameters

scip	SCIP data structure
sepadata	separator data structure
maxviolscore	weighted average of maximum value of generated cut violations and maximum value of complementarity slackness violations, in the current iteration
maxviolscoreold	weighted average of maximum value of generated cut violations and maximum value of complementarity slackness violations, in the previous iteration
nviolscore	weighted average of number of generated cut violations and number of complementarity slackness violations, in the current iteration
nviolscoreold	weighted average of number of generated cut violations and number of complementarity slackness violations, in the previous iteration
nlpiters	number of LP iterations taken for solving the Lagrangian dual with fixed multipliers in current iteration
ballradius	norm ball radius to be updated

Definition at line 926 of file sepa_lagromory.c.

References assert(), MAX, MIN, NULL, SCIP_Bool, SCIP_Real, SCIPisNegative(), and sepadata.

Referenced by stabilizeDualVector().

◆ l1BallProjection()

SCIP_RETCODE l1BallProjection	(	SCIP *	scip,
		SCIP_Real *	dualvector,
		int	dualvectorlen,
		SCIP_Real	radius )

static

projection of Lagrangian multipliers onto L1-norm ball. This algorithm is based on the following article

Condat L. (2016).
Fast projection onto the simplex and the \(l_1\) ball.
Mathematical Programming, 158, 1-2, 575-585.

Parameters

scip	SCIP data structure
dualvector	Lagrangian multipliers to be projected onto L1-norm vall
dualvectorlen	length of the Lagrangian multipliers vector
radius	radius of the L1-norm ball

Definition at line 995 of file sepa_lagromory.c.

References assert(), FALSE, i, MAX, REALABS, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPallocBufferArray, SCIPallocCleanBufferArray, SCIPfreeBufferArray, SCIPfreeCleanBufferArray, SCIPisGT(), SCIPisLE(), SCIPisNegative(), SCIPisPositive(), and TRUE.

Referenced by stabilizeDualVector().

◆ l2BallProjection()

void l2BallProjection	(	SCIP *	scip,
		SCIP_Real *	dualvector,
		int	dualvectorlen,
		SCIP_Real	radius )

static

projection of Lagrangian multipliers onto L2-norm ball

Parameters

scip	SCIP data structure
dualvector	Lagrangian multipliers to be projected onto L2-norm vall
dualvectorlen	length of the Lagrangian multipliers vector
radius	radius of the L2-norm ball

Definition at line 1135 of file sepa_lagromory.c.

References assert(), i, SCIP_Real, SCIPisGT(), SCIPisLT(), SCIPisNegative(), and SQR.

Referenced by stabilizeDualVector().

◆ linfBallProjection()

void linfBallProjection	(	SCIP *	scip,
		SCIP_Real *	dualvector,
		int	dualvectorlen,
		SCIP_Real	radius )

static

projection of Lagrangian multipliers onto L_infinity-norm ball

Parameters

scip	SCIP data structure
dualvector	Lagrangian multipliers to be projected onto L_infinity-norm vall
dualvectorlen	length of the Lagrangian multipliers vector
radius	radius of the L_infinity-norm ball

Definition at line 1166 of file sepa_lagromory.c.

References assert(), i, SCIP_Real, SCIPisGT(), SCIPisLT(), and SCIPisNegative().

Referenced by stabilizeDualVector().

◆ weightedDualVector()

void weightedDualVector	(	SCIP_SEPADATA *	sepadata,
		SCIP_Real *	dualvector,
		int	dualvectorlen,
		SCIP_Real *	stabilitycenter,
		int	stabilitycenterlen,
		int	nbestdualupdates,
		int	totaliternum )

static

weighted Lagrangian multipliers based on a given vector as stability center

Parameters

sepadata	separator data structure
dualvector	Lagrangian multipliers
dualvectorlen	length of the Lagrangian multipliers vector
stabilitycenter	stability center (i.e., core vector of Lagrangian multipliers)
stabilitycenterlen	length of the stability center
nbestdualupdates	number of best Lagrangian values found so far
totaliternum	total number of iterations of the relax-and-cut algorithm performed so far

Definition at line 1192 of file sepa_lagromory.c.

References alpha, assert(), i, MAX, MIN, SCIP_Real, and sepadata.

Referenced by stabilizeDualVector().

◆ stabilizeDualVector()

SCIP_RETCODE stabilizeDualVector	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata,
		SCIP_Real *	dualvector,
		int	dualvectorlen,
		SCIP_Real *	bestdualvector,
		int	bestdualvectorlen,
		int	nbestdualupdates,
		int	subgradientiternum,
		int	totaliternum,
		SCIP_Real	maxviolscore,
		SCIP_Real	maxviolscoreold,
		SCIP_Real	nviolscore,
		SCIP_Real	nviolscoreold,
		int	nlpiters,
		SCIP_Real *	ballradius )

static

stabilize Lagrangian multipliers

Parameters

scip	SCIP data structure
sepadata	separator data structure
dualvector	Lagrangian multipliers
dualvectorlen	length of the Lagrangian multipliers vector
bestdualvector	best Lagrangian multipliers found so far
bestdualvectorlen	length of the best Lagrangian multipliers vector
nbestdualupdates	number of best Lagrangian values found so far
subgradientiternum	iteration number of the subgradient algorithm
totaliternum	total number of iterations of the relax-and-cut algorithm performed so far
maxviolscore	weighted average of maximum value of generated cut violations and maximum value of complementarity slackness violations, in the current iteration
maxviolscoreold	weighted average of maximum value of generated cut violations and maximum value of complementarity slackness violations, in the previous iteration
nviolscore	weighted average of number of generated cut violations and number of complementarity slackness violations, in the current iteration
nviolscoreold	weighted average of number of generated cut violations and number of complementarity slackness violations, in the previous iteration
nlpiters	number of LP iterations taken for solving the Lagrangian dual with fixed multipliers in current iteration
ballradius	norm ball radius

Definition at line 1225 of file sepa_lagromory.c.

References l1BallProjection(), l2BallProjection(), linfBallProjection(), SCIP_CALL, SCIP_OKAY, SCIP_Real, sepadata, updateBallRadius(), and weightedDualVector().

Referenced by updateDualVector().

◆ updateDualVector()

SCIP_RETCODE updateDualVector	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata,
		SCIP_Real *	dualvector1,
		SCIP_Real *	dualvector2,
		int	dualvector2len,
		int	ndualvector2updates,
		int	subgradientiternum,
		int	totaliternum,
		SCIP_Real	steplength,
		SCIP_Real *	subgradient,
		int	ncuts,
		SCIP_Bool	backtrack,
		SCIP_Real	maxviolscore,
		SCIP_Real	maxviolscoreold,
		SCIP_Real	nviolscore,
		SCIP_Real	nviolscoreold,
		int	nlpiters,
		SCIP_Bool *	dualvecsdiffer,
		SCIP_Real *	ballradius )

static

update Lagrangian multipliers

Parameters

scip	SCIP data structure
sepadata	separator data structure
dualvector1	Lagrangian multipliers vector to be updated
dualvector2	Lagrangian multipliers vector used for backtracking
dualvector2len	length of the Lagrangian multipliers vector used for backtracking
ndualvector2updates	number of best Lagrangian values found so far
subgradientiternum	iteration number of the subgradient algorithm
totaliternum	total number of iterations of the relax-and-cut algorithm performed so far
steplength	step length used for updating Lagrangian multipliers
subgradient	subgradient vector
ncuts	number of generated cuts so far
backtrack	whether the Lagrangian multipliers need to be backtracked
maxviolscore	weighted average of maximum value of generated cut violations and maximum value of complementarity slackness violations, in the current iteration
maxviolscoreold	weighted average of maximum value of generated cut violations and maximum value of complementarity slackness violations, in the previous iteration
nviolscore	weighted average of number of generated cut violations and number of complementarity slackness violations, in the current iteration
nviolscoreold	weighted average of number of generated cut violations and number of complementarity slackness violations, in the previous iteration
nlpiters	number of LP iterations taken for solving the Lagrangian dual with fixed multipliers in current iteration
dualvecsdiffer	whether the updated Lagrangian multipliers differ from the old one
ballradius	norm ball radius

Definition at line 1285 of file sepa_lagromory.c.

References assert(), FALSE, i, MAX, NULL, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPallocCleanBufferArray, SCIPfreeCleanBufferArray, SCIPisEQ(), sepadata, stabilizeDualVector(), and TRUE.

Referenced by separateCuts(), and solveLagrangianDual().

◆ checkLagrangianDualTermination()

SCIP_RETCODE checkLagrangianDualTermination	(	SCIP_SEPADATA *	sepadata,
		int	nnewaddedsoftcuts,
		int	nyettoaddsoftcuts,
		SCIP_Bool	objvecsdiffer,
		int	ngeneratedcurrroundcuts,
		int	nmaxgeneratedperroundcuts,
		int	ncurrroundlpiters,
		int	depth,
		SCIP_Bool *	terminate )

static

check different termination criteria

Note: the criterion based on objvecsdiffer assumes deterministic solving process (i.e., we would get same LP solution for "Lagrangian dual with fixed Lagrangian multipliers" when the objective vector remains the same across iterations).

Parameters

sepadata	separator data structure
nnewaddedsoftcuts	number of cuts that were recently penalized and added to the Lagrangian dual's objective function
nyettoaddsoftcuts	number of cuts that are yet to be penalized and added to the Lagrangian dual's objective function
objvecsdiffer	whether the Lagrangian dual's objective function has changed
ngeneratedcurrroundcuts	number of cuts generated in the current separation round
nmaxgeneratedperroundcuts	maximal number of cuts allowed to generate per separation round
ncurrroundlpiters	number of separating LP iterations in the current separation round
depth	depth of the current node
terminate	whether to terminate the subgradient algorithm loop

Definition at line 1394 of file sepa_lagromory.c.

References depth, FALSE, SCIP_Bool, SCIP_OKAY, sepadata, and TRUE.

Referenced by solveLagrangianDual().

◆ solveLagromoryLP()

SCIP_RETCODE solveLagromoryLP	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata,
		int	depth,
		SCIP_Real	origobjoffset,
		SCIP_Bool *	solfound,
		SCIP_SOL *	sol,
		SCIP_Real *	solvals,
		SCIP_Real *	objval,
		int *	ncurrroundlpiters )

static

solve the LP corresponding to the Lagrangian dual with fixed Lagrangian multipliers

Parameters

scip	SCIP data structure
sepadata	separator data structure
depth	depth of the current node in the tree
origobjoffset	objective offset in the current node's relaxation
solfound	whether an LP optimal solution has been found
sol	data structure to store LP optimal solution, if found
solvals	values of the LP optimal solution, if found
objval	optimal objective value of the LP optimal solution, if found
ncurrroundlpiters	number of LP iterations taken for solving Lagrangian dual problems with fixed multipliers in the current separator round

Definition at line 1441 of file sepa_lagromory.c.

References assert(), cutoff, depth, FALSE, i, lperror, MIN, NULL, objval, SCIP_Bool, SCIP_CALL, SCIP_Longint, SCIP_LPPAR_LPTILIM, SCIP_LPSOLSTAT_OPTIMAL, SCIP_OKAY, SCIP_Real, SCIPcolGetPrimsol(), SCIPcolGetVar(), SCIPdebugMsg, SCIPgetLPColsData(), SCIPgetLPObjval(), SCIPgetLPSolstat(), SCIPgetNLPIterations(), SCIPgetNNodeInitLPIterations(), SCIPgetNRootFirstLPIterations(), SCIPgetRealParam(), SCIPgetSolvingTime(), SCIPisInfinity(), SCIPisLPSolBasic(), SCIPlpiSetRealpar(), SCIPsetSolVal(), SCIPsolveDiveLP(), sepadata, sol, TRUE, and var.

Referenced by separateCuts(), and solveLagrangianDual().

◆ solveLPWithHardCuts()

SCIP_RETCODE solveLPWithHardCuts	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata,
		SCIP_Bool *	solfound,
		SCIP_SOL *	sol,
		SCIP_Real *	solvals )

static

solve the LP corresponding to the node relaxation upon adding all the generated cuts

Parameters

scip	SCIP data structure
sepadata	separator data structure
solfound	whether an LP optimal solution has been found
sol	data structure to store LP optimal solution, if found
solvals	values of the LP optimal solution, if found

Definition at line 1578 of file sepa_lagromory.c.

References assert(), FALSE, i, NULL, SCIP_Bool, SCIP_CALL, SCIP_LPPAR_LPTILIM, SCIP_OKAY, SCIP_Real, SCIPcolGetVar(), SCIPdebugMsg, SCIPgetLPColsData(), SCIPgetRealParam(), SCIPgetSolvingTime(), SCIPisInfinity(), SCIPlpiGetSol(), SCIPlpiIsPrimalFeasible(), SCIPlpiSetRealpar(), SCIPlpiSolvePrimal(), SCIPsetSolVal(), sepadata, sol, TRUE, and var.

Referenced by separateCuts().

◆ constructCutRow()

SCIP_RETCODE constructCutRow	(	SCIP *	scip,
		SCIP_SEPA *	sepa,
		SCIP_SEPADATA *	sepadata,
		int	mainiternum,
		int	subgradientiternum,
		int	cutnnz,
		int *	cutinds,
		SCIP_Real *	cutcoefs,
		SCIP_Real	cutefficacy,
		SCIP_Real	cutrhs,
		SCIP_Bool	cutislocal,
		int	cutrank,
		SCIP_ROW **	generatedcuts,
		SCIP_Real *	generatedcutefficacies,
		int	ngeneratedcurrroundcuts,
		int *	ngeneratednewcuts,
		SCIP_Bool *	cutoff )

static

construct a cut based on the input cut coefficients, sides, etc

Parameters

scip	SCIP data structure
sepa	pointer to the separator
sepadata	separator data structure
mainiternum	iteration number of the outer loop of the relax-and-cut algorithm
subgradientiternum	iteration number of the subgradient algorithm
cutnnz	number of nonzeros in cut
cutinds	column indices in cut
cutcoefs	cut cofficients
cutefficacy	cut efficacy
cutrhs	RHS of cut
cutislocal	whether cut is local
cutrank	rank of cut
generatedcuts	array of generated cuts
generatedcutefficacies	array of generated cut efficacies w.r.t. the respective LP bases used for cut generations
ngeneratedcurrroundcuts	number of cuts generated until the previous basis in the current separation round
ngeneratednewcuts	number of new cuts generated using the current basis
cutoff	should the current node be cutoff?

Definition at line 1642 of file sepa_lagromory.c.

References assert(), cutoff, FALSE, NULL, SCIP_Bool, SCIP_CALL, SCIP_LONGINT_FORMAT, SCIP_MAXSTRLEN, SCIP_OKAY, SCIP_Real, SCIPaddVarToRow(), SCIPcacheRowExtensions(), SCIPcolGetVar(), SCIPcreateEmptyRowSepa(), SCIPdebugMsg, SCIPflushRowExtensions(), SCIPgetLPCols(), SCIPgetRowMaxActivity(), SCIPgetRowMinActivity(), SCIPinfinity(), SCIPisEfficacious(), SCIPisFeasNegative(), SCIPisFeasPositive(), SCIPisInfinity(), SCIProwChgRank(), SCIProwGetLhs(), SCIProwGetName(), SCIProwGetNNonz(), SCIProwGetRhs(), SCIProwIsModifiable(), SCIPsepaGetName(), SCIPsnprintf(), sepadata, TRUE, and var.

Referenced by generateGMICuts().

◆ aggregateGeneratedCuts()

SCIP_RETCODE aggregateGeneratedCuts	(	SCIP *	scip,
		SCIP_SEPA *	sepa,
		SCIP_SEPADATA *	sepadata,
		SCIP_ROW **	generatedcuts,
		SCIP_Real *	bestdualvector,
		int	bestdualvectorlen,
		SCIP_ROW **	aggrcuts,
		int *	naggrcuts,
		SCIP_Bool *	cutoff )

static

aggregated generated cuts based on the best Lagrangian multipliers

Parameters

scip	SCIP data structure
sepa	pointer to the separator
sepadata	separator data structure
generatedcuts	cuts generated in the current separation round
bestdualvector	best Lagrangian multipliers vector
bestdualvectorlen	length of the best Lagrangian multipliers vector
aggrcuts	aggregated cuts generated so far in the current separation round
naggrcuts	number of aggregated cuts generated so far in the current separation round
cutoff	should the current node be cutoff?

Definition at line 1774 of file sepa_lagromory.c.

References assert(), cutoff, FALSE, i, MAX, NULL, QUAD, QUAD_ARRAY_LOAD, QUAD_ARRAY_SIZE, QUAD_ARRAY_STORE, QUAD_ASSIGN, QUAD_TO_DBL, SCIP_Bool, SCIP_CALL, SCIP_LONGINT_FORMAT, SCIP_MAXSTRLEN, SCIP_OKAY, SCIP_Real, SCIPaddVarToRow(), SCIPallocBufferArray, SCIPallocCleanBufferArray, SCIPcacheRowExtensions(), SCIPcolGetLPPos(), SCIPcolGetVar(), SCIPcreateEmptyRowSepa(), SCIPdebugMsg, SCIPflushRowExtensions(), SCIPfreeBufferArray, SCIPfreeCleanBufferArray, SCIPgetLPColsData(), SCIPgetRowMaxActivity(), SCIPgetRowMinActivity(), SCIPinfinity(), SCIPisFeasNegative(), SCIPisFeasPositive(), SCIPisGE(), SCIPisInfinity(), SCIPisZero(), SCIPquadprecProdDD, SCIPquadprecSumQQ, SCIProwChgRank(), SCIProwGetCols(), SCIProwGetConstant(), SCIProwGetLhs(), SCIProwGetName(), SCIProwGetNNonz(), SCIProwGetRank(), SCIProwGetRhs(), SCIProwGetVals(), SCIProwIsLocal(), SCIProwIsModifiable(), SCIPsepaGetName(), SCIPsnprintf(), sepadata, TRUE, and var.

Referenced by separateCuts().

◆ generateGMICuts()

SCIP_RETCODE generateGMICuts	(	SCIP *	scip,
		SCIP_SEPA *	sepa,
		SCIP_SEPADATA *	sepadata,
		int	mainiternum,
		int	subgradientiternum,
		SCIP_SOL *	sol,
		SCIP_Real *	solvals,
		int	nmaxgeneratedperroundcuts,
		SCIP_Bool	allowlocal,
		SCIP_ROW **	generatedcurrroundcuts,
		SCIP_Real *	generatedcutefficacies,
		int	ngeneratedcurrroundcuts,
		int *	ngeneratednewcuts,
		int	depth,
		SCIP_Bool *	cutoff )

static

main method: LP solution separation method of separator

Parameters

scip	SCIP data structure
sepa	pointer to the separator
sepadata	separator data structure
mainiternum	iteration number of the outer loop of the relax-and-cut algorithm
subgradientiternum	iteration number of the subgradient algorithm
sol	LP solution to be used for cut generation
solvals	values of the LP solution to be used for cut generation
nmaxgeneratedperroundcuts	maximal number of cuts allowed to generate per separation round
allowlocal	should locally valid cuts be generated?
generatedcurrroundcuts	cuts generated in the current separation round
generatedcutefficacies	array of generated cut efficacies w.r.t. the respective LP bases used for cut generations
ngeneratedcurrroundcuts	number of cuts generated until the previous basis in the current separation round
ngeneratednewcuts	number of new cuts generated using the current basis
depth	depth of the current node in the tree
cutoff	should the current node be cutoff?

Definition at line 1997 of file sepa_lagromory.c.

References assert(), BOUNDSWITCH, c, constructCutRow(), cutoff, depth, FIXINTEGRALRHS, frac, i, MAXAGGRLEN, MIN, NULL, POSTPROCESS, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPaggrRowCreate(), SCIPaggrRowFree(), SCIPaggrRowSumRows(), SCIPallocBufferArray, SCIPcalcMIR(), SCIPcolGetVar(), SCIPfeasFrac(), SCIPfreeBufferArray, SCIPgetLPBasisInd(), SCIPgetLPBInvRow(), SCIPgetLPColsData(), SCIPgetLPRowsData(), SCIPgetRowActivity(), SCIPisStopped(), SCIPrandomGetReal(), SCIProwIsIntegral(), SCIProwIsModifiable(), SCIPsortDownRealInt(), SCIPvarIsIntegral(), sepadata, sol, var, and VARTYPEUSEVBDS.

Referenced by generateInitCutPool(), and solveLagrangianDual().

◆ updateObjectiveVector()

SCIP_RETCODE updateObjectiveVector	(	SCIP *	scip,
		SCIP_Real *	dualvector,
		SCIP_ROW **	cuts,
		int	ncuts,
		SCIP_Real *	origobjcoefs,
		SCIP_Bool *	objvecsdiffer )

static

update objective vector w.r.t. the fixed Lagrangian multipliers

Parameters

scip	SCIP data structure
dualvector	Lagrangian multipliers vector
cuts	cuts generated so far in the current separation round
ncuts	number of cuts generated so far in the current separation round
origobjcoefs	original objective function coefficients of the node linear relaxation
objvecsdiffer	whether the updated objective function coefficients differ from the old ones

Definition at line 2187 of file sepa_lagromory.c.

References assert(), FALSE, i, NULL, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPallocBufferArray, SCIPallocCleanBufferArray, SCIPchgVarObjDive(), SCIPcolGetLPPos(), SCIPcolGetVar(), SCIPfreeBufferArray, SCIPfreeCleanBufferArray, SCIPgetLPColsData(), SCIPgetVarObjDive(), SCIPisEQ(), SCIPisInfinity(), SCIPisZero(), SCIProwGetCols(), SCIProwGetLhs(), SCIProwGetNNonz(), SCIProwGetRhs(), SCIProwGetVals(), TRUE, and var.

Referenced by solveLagrangianDual().

◆ addGMICutsAsSoftConss()

SCIP_RETCODE addGMICutsAsSoftConss	(	SCIP_Real *	dualvector,
		int	ngeneratedcuts,
		int *	naddedcuts,
		int *	nnewaddedsoftcuts )

static

add GMI cuts to the objective function of the Lagrangian dual problem by introducing new Lagrangian multipliers

Parameters

dualvector	Lagrangian multipliers vector
ngeneratedcuts	number of cuts generated so far in the current separation round
naddedcuts	number of cuts added so far in the current separation round to the Lagrangian dual problem upon penalization
nnewaddedsoftcuts	number of cuts added newly to the Lagrangian dual problem upon penalization

Definition at line 2272 of file sepa_lagromory.c.

References assert(), i, SCIP_OKAY, and SCIP_Real.

Referenced by solveLagrangianDual().

◆ solveLagrangianDual()

SCIP_RETCODE solveLagrangianDual	(	SCIP *	scip,
		SCIP_SEPA *	sepa,
		SCIP_SEPADATA *	sepadata,
		SCIP_SOL *	sol,
		SCIP_Real *	solvals,
		int	mainiternum,
		SCIP_Real	ubparam,
		int	depth,
		SCIP_Bool	allowlocal,
		int	nmaxgeneratedperroundcuts,
		SCIP_Real *	origobjcoefs,
		SCIP_Real	origobjoffset,
		SCIP_Real *	dualvector,
		int *	nsoftcuts,
		SCIP_ROW **	generatedcurrroundcuts,
		SCIP_Real *	generatedcutefficacies,
		int *	ngeneratedcutsperiter,
		int *	ngeneratedcurrroundcuts,
		int *	ncurrroundlpiters,
		SCIP_Bool *	cutoff,
		SCIP_Real *	bestlagrangianval,
		SCIP_Real *	bestdualvector,
		int *	bestdualvectorlen,
		int *	nbestdualupdates,
		int *	totaliternum )

static

solve the Lagrangian dual problem

Parameters

scip	SCIP data structure
sepa	pointer to the separator
sepadata	separator data structure
sol	data structure to store an LP solution upon solving a Lagrangian dual problem with fixed Lagrangian multipliers
solvals	values of the LP solution obtained upon solving a Lagrangian dual problem with fixed Lagrangian multipliers
mainiternum	iteration number of the outer loop of the relax-and-cut algorithm
ubparam	estimate of the optimal Lagrangian dual value
depth	depth of the current node in the tree
allowlocal	should locally valid cuts be generated?
nmaxgeneratedperroundcuts	maximal number of cuts allowed to generate per separation round
origobjcoefs	original objective function coefficients of the node linear relaxation
origobjoffset	original objective function offset of the node linear relaxation
dualvector	Lagrangian multipliers vector
nsoftcuts	number of generated cuts that were penalized and added to the Lagrangian dual problem
generatedcurrroundcuts	cuts generated in the current separation round
generatedcutefficacies	array of generated cut efficacies w.r.t. the respective LP bases used for cut generations
ngeneratedcutsperiter	number of cuts generated per subgradient iteration in the current separation round
ngeneratedcurrroundcuts	number of cuts generated so far in the current separation round
ncurrroundlpiters	number of LP iterations taken for solving Lagrangian dual problems with fixed multipliers in the current separator round
cutoff	should the current node be cutoff?
bestlagrangianval	best Lagrangian value found so far
bestdualvector	Lagrangian multipliers corresponding to the best Lagrangian value found so far
bestdualvectorlen	length of the Lagrangian multipliers corresponding to the best Lagrangian value found so far
nbestdualupdates	number of best Lagrangian values found so far
totaliternum	total number of iterations of the relax-and-cut algorithm performed so far

Definition at line 2296 of file sepa_lagromory.c.

References addGMICutsAsSoftConss(), checkLagrangianDualTermination(), cutoff, depth, FALSE, generateGMICuts(), i, objval, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPallocBufferArray, SCIPallocCleanBufferArray, SCIPfreeBufferArray, SCIPfreeCleanBufferArray, SCIPisPositive(), SCIPisStopped(), sepadata, sol, solveLagromoryLP(), TRUE, updateDualVector(), updateLagrangianValue(), updateMuSteplengthParam(), updateObjectiveVector(), updateStepLength(), and updateSubgradient().

Referenced by separateCuts().

◆ generateInitCutPool()

SCIP_RETCODE generateInitCutPool	(	SCIP *	scip,
		SCIP_SEPA *	sepa,
		SCIP_SEPADATA *	sepadata,
		int	mainiternum,
		SCIP_SOL *	sol,
		SCIP_Real *	solvals,
		int	nmaxgeneratedperroundcuts,
		SCIP_Bool	allowlocal,
		SCIP_ROW **	generatedcurrroundcuts,
		SCIP_Real *	generatedcutefficacies,
		int *	ngeneratedcutsperiter,
		int *	ngeneratedcurrroundcuts,
		int	depth,
		SCIP_Bool *	cutoff )

static

generates initial cut pool before solving the Lagrangian dual

Parameters

scip	SCIP data structure
sepa	separator
sepadata	separator data structure
mainiternum	iteration number of the outer loop of the relax-and-cut algorithm
sol	LP solution to be used for cut generation
solvals	values of the LP solution to be used for cut generation
nmaxgeneratedperroundcuts	maximal number of cuts allowed to generate per separation round
allowlocal	should locally valid cuts be generated?
generatedcurrroundcuts	cuts generated in the current separation round
generatedcutefficacies	array of generated cut efficacies w.r.t. the respective LP bases used for cut generations
ngeneratedcutsperiter	number of cuts generated per subgradient iteration in the current separation round
ngeneratedcurrroundcuts	number of cuts generated so far in the current separation round
depth	depth of the current node in the tree
cutoff	should the current node be cutoff?

Definition at line 2530 of file sepa_lagromory.c.

References cutoff, depth, generateGMICuts(), SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, sepadata, and sol.

Referenced by separateCuts().

◆ addCuts()

SCIP_RETCODE addCuts	(	SCIP *	scip,
		SCIP_SEPADATA *	sepadata,
		SCIP_ROW **	cuts,
		int	ncuts,
		SCIP_Longint	maxdnom,
		SCIP_Real	maxscale,
		int *	naddedcuts,
		SCIP_Bool *	cutoff )

static

add cuts to SCIP

Parameters

scip	SCIP data structure
sepadata	separator data structure
cuts	cuts generated so far in the current separation round
ncuts	number of cuts generated so far in the current separation round
maxdnom	maximum denominator in the rational representation of cuts
maxscale	maximal scale factor to scale the cuts to integral values
naddedcuts	number of cuts added to either global cutpool or sepastore
cutoff	should the current node be cutoff?

Definition at line 2567 of file sepa_lagromory.c.

References assert(), cutoff, FALSE, i, MAKECONTINTEGRAL, NULL, SCIP_Bool, SCIP_CALL, SCIP_Longint, SCIP_OKAY, SCIP_Real, SCIPaddDelayedPoolCut(), SCIPaddPoolCut(), SCIPaddRow(), SCIPepsilon(), SCIPgetRowNumIntCols(), SCIPisCutNew(), SCIPisInfinity(), SCIPmakeRowIntegral(), SCIProwGetNNonz(), SCIProwGetRhs(), SCIProwIsLocal(), SCIPsumepsilon(), sepadata, and TRUE.

Referenced by separateCuts().

◆ checkMainLoopTermination()

SCIP_RETCODE checkMainLoopTermination	(	SCIP_SEPADATA *	sepadata,
		SCIP_Bool	cutoff,
		SCIP_Bool	dualvecsdiffer,
		int	ngeneratedcurrroundcuts,
		int	nsoftcuts,
		int	nmaxgeneratedperroundcuts,
		int	ncurrroundlpiters,
		int	depth,
		SCIP_Bool *	terminate )

static

check different termination criteria

Parameters

sepadata	separator data structure
cutoff	should the current node be cutoff?
dualvecsdiffer	whether the updated Lagrangian multipliers differ from the old one
ngeneratedcurrroundcuts	number of cuts generated in the current separation round
nsoftcuts	number of generated cuts that were penalized and added to the Lagrangian dual problem
nmaxgeneratedperroundcuts	maximal number of cuts allowed to generate per separation round
ncurrroundlpiters	number of LP iterations taken for solving Lagrangian dual problems with fixed multipliers in the current separator round
depth	depth of the current node in the tree
terminate	whether to terminate the relax-and-cut algorithm

Definition at line 2644 of file sepa_lagromory.c.

References cutoff, depth, FALSE, SCIP_Bool, SCIP_OKAY, sepadata, and TRUE.

Referenced by separateCuts().

◆ separateCuts()

SCIP_RETCODE separateCuts	(	SCIP *	scip,
		SCIP_SEPA *	sepa,
		SCIP_SEPADATA *	sepadata,
		SCIP_Real	ubparam,
		int	depth,
		SCIP_Bool	allowlocal,
		SCIP_RESULT *	result )

static

searches and tries to add Lagromory cuts

Parameters

scip	SCIP data structure
sepa	separator
sepadata	separator data structure
ubparam	estimate of the optimal Lagrangian dual value
depth	depth of the current node in the tree
allowlocal	should locally valid cuts be generated?
result	final result of the separation round

Definition at line 2692 of file sepa_lagromory.c.

References addCuts(), aggregateGeneratedCuts(), assert(), checkMainLoopTermination(), createLPWithHardCuts(), createLPWithSoftCuts(), cutoff, deleteLPWithSoftCuts(), depth, FALSE, generateInitCutPool(), i, maxdepth, NULL, objval, result, SCIP_Bool, SCIP_CALL, SCIP_CUTOFF, SCIP_DIDNOTFIND, SCIP_DIDNOTRUN, SCIP_Longint, SCIP_OKAY, SCIP_Real, SCIP_SEPARATED, SCIPallocBufferArray, SCIPallocCleanBufferArray, SCIPceil(), SCIPcolGetObj(), SCIPcreateSol(), SCIPdebugMsg, SCIPfreeBufferArray, SCIPfreeCleanBufferArray, SCIPfreeSol(), SCIPgetLPColsData(), SCIPgetMaxDepth(), SCIPgetNLPRows(), SCIPgetTransObjoffset(), SCIPheurPassSolTrySol(), SCIPinfinity(), SCIPisGE(), SCIPisPositive(), SCIPisStopped(), SCIPlpiGetSol(), SCIPlpiIsDualFeasible(), SCIPlpiWasSolved(), SCIPreleaseRow(), SCIPsepaGetNCalls(), SCIPsortDownRealInt(), sepadata, solveLagrangianDual(), solveLagromoryLP(), solveLPWithHardCuts(), TRUE, and updateDualVector().

Referenced by SCIP_DECL_SEPAEXECLP().

◆ sepadataCreate()

SCIP_RETCODE sepadataCreate	(	SCIP *	scip,
		SCIP_SEPADATA **	sepadata )

static

creates separator data

Parameters

scip	SCIP data structure
sepadata	separator data structure

Definition at line 3011 of file sepa_lagromory.c.

References assert(), BMSclearMemory, NULL, SCIP_CALL, SCIP_OKAY, SCIPallocBlockMemory, and sepadata.

Referenced by SCIPincludeSepaLagromory().

◆ SCIP_DECL_SEPACOPY()

SCIP_DECL_SEPACOPY ( sepaCopyLagromory )

static

copy method for separator plugins (called when SCIP copies plugins)

Definition at line 3032 of file sepa_lagromory.c.

References assert(), NULL, SCIP_CALL, SCIP_OKAY, SCIPincludeSepaLagromory(), SCIPsepaGetName(), and SEPA_NAME.

◆ SCIP_DECL_SEPAFREE()

SCIP_DECL_SEPAFREE ( sepaFreeLagromory )

static

destructor of separator to free user data (called when SCIP is exiting)

Definition at line 3047 of file sepa_lagromory.c.

References assert(), NULL, SCIP_CALL, SCIP_OKAY, SCIPsepaGetData(), SCIPsepaSetData(), sepadata, and sepadataFree().

◆ SCIP_DECL_SEPAINIT()

SCIP_DECL_SEPAINIT ( sepaInitLagromory )

static

initialization method of separator (called after problem was transformed)

Definition at line 3063 of file sepa_lagromory.c.

References assert(), NULL, RANDSEED, SCIP_CALL, SCIP_OKAY, SCIPcreateRandom(), SCIPfindHeur(), SCIPsepaGetData(), sepadata, and TRUE.

◆ SCIP_DECL_SEPAEXIT()

SCIP_DECL_SEPAEXIT ( sepaExitLagromory )

static

deinitialization method of separator (called before transformed problem is freed)

Definition at line 3083 of file sepa_lagromory.c.

References assert(), NULL, SCIP_OKAY, SCIPfreeRandom(), SCIPsepaGetData(), and sepadata.

◆ SCIP_DECL_SEPAEXECLP()

SCIP_DECL_SEPAEXECLP ( sepaExeclpLagromory )

static

LP solution separation method of separator

Definition at line 3097 of file sepa_lagromory.c.

References assert(), depth, i, ncalls, NULL, result, SCIP_CALL, SCIP_DIDNOTRUN, SCIP_LPSOLSTAT_OPTIMAL, SCIP_OKAY, SCIP_Real, SCIPcolGetObj(), SCIPcolGetPrimsol(), SCIPcolGetVar(), SCIPgetBestSol(), SCIPgetLPColsData(), SCIPgetLPDualDegeneracy(), SCIPgetLPSolstat(), SCIPgetNLPRows(), SCIPgetNRuns(), SCIPgetSolVal(), SCIPgetTransObjoffset(), SCIPisLPSolBasic(), SCIPisPositive(), SCIPisStopped(), SCIPsepaGetData(), SCIPsepaGetName(), SCIPsepaGetNCallsAtNode(), SEPA_NAME, sepadata, separateCuts(), and var.

Detailed Description

Macros

Functions

Macro Definition Documentation

◆ SEPA_NAME

◆ SEPA_DESC

◆ SEPA_PRIORITY

◆ SEPA_FREQ

◆ SEPA_MAXBOUNDDIST

◆ SEPA_USESSUBSCIP

◆ SEPA_DELAY

◆ DEFAULT_AWAY

◆ DEFAULT_DELAYEDCUTS

◆ DEFAULT_SEPARATEROWS

◆ DEFAULT_SORTCUTOFFSOL

◆ DEFAULT_SIDETYPEBASIS

◆ DEFAULT_DYNAMICCUTS

◆ DEFAULT_MAKEINTEGRAL

◆ DEFAULT_FORCECUTS

◆ DEFAULT_ALLOWLOCAL

◆ DEFAULT_MAXROUNDSROOT

◆ DEFAULT_MAXROUNDS

◆ DEFAULT_DUALDEGENERACYRATETHRESHOLD

◆ DEFAULT_VARCONSRATIOTHRESHOLD

◆ DEFAULT_MINRESTART

◆ DEFAULT_PERLPMAXCUTSROOT

◆ DEFAULT_PERLPMAXCUTS

◆ DEFAULT_PERROUNDLPITERLIMITFACTOR

◆ DEFAULT_ROOTLPITERLIMITFACTOR

◆ DEFAULT_TOTALLPITERLIMITFACTOR

◆ DEFAULT_PERROUNDMAXLPITERS

◆ DEFAULT_PERROUNDCUTSFACTORROOT

◆ DEFAULT_PERROUNDCUTSFACTOR

◆ DEFAULT_TOTALCUTSFACTOR

◆ DEFAULT_MAXMAINITERS

◆ DEFAULT_MAXSUBGRADIENTITERS

◆ DEFAULT_MUPARAMCONST

◆ DEFAULT_MUPARAMINIT

◆ DEFAULT_MUPARAMLB

◆ DEFAULT_MUPARAMUB

◆ DEFAULT_MUBACKTRACKFACTOR

◆ DEFAULT_MUSLAB1FACTOR

◆ DEFAULT_MUSLAB2FACTOR

◆ DEFAULT_MUSLAB3FACTOR

◆ DEFAULT_DELTASLAB1UB

◆ DEFAULT_DELTASLAB2UB

◆ DEFAULT_UBPARAMPOSFACTOR

◆ DEFAULT_UBPARAMNEGFACTOR

◆ DEFAULT_MAXLAGRANGIANVALSFORAVG

◆ DEFAULT_MAXCONSECITERSFORMUUPDATE

◆ DEFAULT_PERROOTLPITERFACTOR

◆ DEFAULT_PERLPITERFACTOR

◆ DEFAULT_CUTGENFREQ

◆ DEFAULT_CUTADDFREQ

◆ DEFAULT_CUTSFILTERFACTOR

◆ DEFAULT_OPTIMALFACEPRIORITY

◆ DEFAULT_AGGREGATECUTS

◆ DEFAULT_PROJECTIONTYPE

◆ DEFAULT_STABILITYCENTERTYPE

◆ DEFAULT_RADIUSINIT

◆ DEFAULT_RADIUSMAX

◆ DEFAULT_RADIUSMIN

◆ DEFAULT_CONST

◆ DEFAULT_RADIUSUPDATEWEIGHT

◆ RANDSEED

◆ MAKECONTINTEGRAL

◆ POSTPROCESS

◆ BOUNDSWITCH

◆ VARTYPEUSEVBDS

◆ FIXINTEGRALRHS

◆ MAXAGGRLEN

Function Documentation

◆ createLPWithSoftCuts()

◆ deleteLPWithSoftCuts()

◆ createLPWithHardCuts()

◆ sepadataFree()

◆ updateMuSteplengthParam()

◆ updateSubgradient()

◆ updateLagrangianValue()

◆ updateStepLength()