Scippy

SCIP

Solving Constraint Integer Programs

cons_orbisack.h
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3/* This file is part of the program and library */
4/* SCIP --- Solving Constraint Integer Programs */
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24
25/**@file cons_orbisack.h
26 * @ingroup CONSHDLRS
27 * @brief constraint handler for orbisack constraints
28 * @author Christopher Hojny
29 *
30 * The constraint works on two vectors of variables, which are interpreted as columns of a matrix such that the first
31 * column is lexicographically not smaller than the second.
32 */
33
34/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
35
36#ifndef __SCIP_CONS_ORBISACK_H__
37#define __SCIP_CONS_ORBISACK_H__
38
39#include "scip/def.h"
40#include "scip/type_cons.h"
41#include "scip/type_retcode.h"
42#include "scip/type_scip.h"
43#include "scip/type_sol.h"
44#include "scip/type_var.h"
45
46#ifdef __cplusplus
47extern "C" {
48#endif
49
50
51/** creates the handler for orbisack constraints and includes it in SCIP
52 *
53 * @ingroup ConshdlrIncludes
54 */
55SCIP_EXPORT
57 SCIP* scip /**< SCIP data structure */
58 );
59
60/**@addtogroup CONSHDLRS
61 *
62 * @{
63 *
64 * @name Orbisack Constraints
65 *
66 * @{
67 *
68 * This constraint handler can be used to handle symmetries in certain 0/1-programs. The principle
69 * structure is that some variables can be ordered in matrix form with two columns, such that
70 * permuting both columns does not change the validity and objective function value of a solution.
71 * That is, there exists a permutation symmetry of the program that permutes the variables of the
72 * first and second column row-wise.
73 *
74 * In more mathematical terms the structure has to be as follows: There are 0/1-variables
75 * \f$x_{ij}\f$, \f$i \in \{1, \dots, n\}\f$, \f$j \in \{1, 2\}\f$. Permuting columns of
76 * \f$x\f$ does not change the validity and objective function value of any feasible solution.
77 */
78
79
80/** checks whether a given binary solution is feasible for the orbisack */
81SCIP_EXPORT
83 SCIP* scip, /**< SCIP data structure */
84 SCIP_SOL* sol, /**< solution to check for feasibility */
85 SCIP_VAR** vars1, /**< variables of first column */
86 SCIP_VAR** vars2, /**< variables of second column */
87 int nrows, /**< number of rows */
88 SCIP_Bool printreason, /**< whether reason for infeasibility should be printed */
89 SCIP_Bool* feasible /**< memory address to store whether sol is feasible */
90 );
91
92/** creates and captures a orbisack constraint
93 *
94 * @note the constraint gets captured, hence at one point you have to release it using the method SCIPreleaseCons()
95 */
96SCIP_EXPORT
98 SCIP* scip, /**< SCIP data structure */
99 SCIP_CONS** cons, /**< pointer to hold the created constraint */
100 const char* name, /**< name of constraint */
101 SCIP_VAR*const* vars1, /**< first column matrix of variables on which the symmetry acts */
102 SCIP_VAR*const* vars2, /**< second column matrix of variables on which the symmetry acts */
103 int nrows, /**< number of rows in variable matrix */
104 SCIP_Bool ispporbisack, /**< whether the orbisack is a packing/partitioning orbisack */
105 SCIP_Bool isparttype, /**< whether the orbisack is a partitioning orbisack */
106 SCIP_Bool ismodelcons, /**< whether the orbisack is a model constraint */
107 SCIP_Bool initial, /**< should the LP relaxation of constraint be in the initial LP?
108 * Usually set to TRUE. Set to FALSE for 'lazy constraints'. */
109 SCIP_Bool separate, /**< should the constraint be separated during LP processing?
110 * Usually set to TRUE. */
111 SCIP_Bool enforce, /**< should the constraint be enforced during node processing?
112 * TRUE for model constraints, FALSE for additional, redundant constraints. */
113 SCIP_Bool check, /**< should the constraint be checked for feasibility?
114 * TRUE for model constraints, FALSE for additional, redundant constraints. */
115 SCIP_Bool propagate, /**< should the constraint be propagated during node processing?
116 * Usually set to TRUE. */
117 SCIP_Bool local, /**< is constraint only valid locally?
118 * Usually set to FALSE. Has to be set to TRUE, e.g., for branching constraints. */
119 SCIP_Bool modifiable, /**< is constraint modifiable (subject to column generation)?
120 * Usually set to FALSE. In column generation applications, set to TRUE if pricing
121 * adds coefficients to this constraint. */
122 SCIP_Bool dynamic, /**< is constraint subject to aging?
123 * Usually set to FALSE. Set to TRUE for own cuts which
124 * are separated as constraints. */
125 SCIP_Bool removable, /**< should the relaxation be removed from the LP due to aging or cleanup?
126 * Usually set to FALSE. Set to TRUE for 'lazy constraints' and 'user cuts'. */
127 SCIP_Bool stickingatnode /**< should the constraint always be kept at the node where it was added, even
128 * if it may be moved to a more global node?
129 * Usually set to FALSE. Set to TRUE to for constraints that represent node data. */
130 );
131
132/** creates and captures an orbisack constraint in its most basic variant
133 *
134 * All constraint flags set to their default values, which can be set afterwards using SCIPsetConsFLAGNAME() in scip.h.
135 *
136 * @see SCIPcreateConsOrbisack() for the default constraint flag configuration
137 *
138 * @note the constraint gets captured, hence at one point you have to release it using the method SCIPreleaseCons()
139 */
140SCIP_EXPORT
142 SCIP* scip, /**< SCIP data structure */
143 SCIP_CONS** cons, /**< pointer to hold the created constraint */
144 const char* name, /**< name of constraint */
145 SCIP_VAR** vars1, /**< first column of matrix of variables on which the symmetry acts */
146 SCIP_VAR** vars2, /**< second column of matrix of variables on which the symmetry acts */
147 int nrows, /**< number of rows in constraint matrix */
148 SCIP_Bool ispporbisack, /**< whether the orbisack is a packing/partitioning orbisack */
149 SCIP_Bool isparttype, /**< whether the orbisack is a partitioning orbisack */
150 SCIP_Bool ismodelcons /**< whether the orbisack is a model constraint */
151 );
152
153/** @} */
154
155/** @} */
156
157#ifdef __cplusplus
158}
159#endif
160
161#endif
common defines and data types used in all packages of SCIP
#define SCIP_Bool
Definition: def.h:91
SCIP_RETCODE SCIPcheckSolutionOrbisack(SCIP *scip, SCIP_SOL *sol, SCIP_VAR **vars1, SCIP_VAR **vars2, int nrows, SCIP_Bool printreason, SCIP_Bool *feasible)
SCIP_RETCODE SCIPcreateConsBasicOrbisack(SCIP *scip, SCIP_CONS **cons, const char *name, SCIP_VAR **vars1, SCIP_VAR **vars2, int nrows, SCIP_Bool ispporbisack, SCIP_Bool isparttype, SCIP_Bool ismodelcons)
SCIP_RETCODE SCIPcreateConsOrbisack(SCIP *scip, SCIP_CONS **cons, const char *name, SCIP_VAR *const *vars1, SCIP_VAR *const *vars2, int nrows, SCIP_Bool ispporbisack, SCIP_Bool isparttype, SCIP_Bool ismodelcons, SCIP_Bool initial, SCIP_Bool separate, SCIP_Bool enforce, SCIP_Bool check, SCIP_Bool propagate, SCIP_Bool local, SCIP_Bool modifiable, SCIP_Bool dynamic, SCIP_Bool removable, SCIP_Bool stickingatnode)
SCIP_RETCODE SCIPincludeConshdlrOrbisack(SCIP *scip)
type definitions for constraints and constraint handlers
type definitions for return codes for SCIP methods
enum SCIP_Retcode SCIP_RETCODE
Definition: type_retcode.h:63
type definitions for SCIP's main datastructure
type definitions for storing primal CIP solutions
type definitions for problem variables