Scippy

SCIP

Solving Constraint Integer Programs

reader_ccg.c
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1/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
2/* */
3/* This file is part of the program and library */
4/* SCIP --- Solving Constraint Integer Programs */
5/* */
6/* Copyright (c) 2002-2024 Zuse Institute Berlin (ZIB) */
7/* */
8/* Licensed under the Apache License, Version 2.0 (the "License"); */
9/* you may not use this file except in compliance with the License. */
10/* You may obtain a copy of the License at */
11/* */
12/* http://www.apache.org/licenses/LICENSE-2.0 */
13/* */
14/* Unless required by applicable law or agreed to in writing, software */
15/* distributed under the License is distributed on an "AS IS" BASIS, */
16/* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. */
17/* See the License for the specific language governing permissions and */
18/* limitations under the License. */
19/* */
20/* You should have received a copy of the Apache-2.0 license */
21/* along with SCIP; see the file LICENSE. If not visit scipopt.org. */
22/* */
23/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
24
25/**@file reader_ccg.c
26 * @ingroup DEFPLUGINS_READER
27 * @brief Graph file reader (actually, only a writer)
28 * @author Marc Pfetsch
29 *
30 * Write a weighted column/variable graph, i.e., the nodes correspond to the columns (variables) of
31 * the constraint matrix. Two nodes are adjacent if the corresponding columns/variables appear
32 * in a common row/constraint (with nonzero coefficient). The weight is obtained by summing for
33 * each row that produces an edge the absolute values of coefficients in the row; hence, we avoid
34 * parallel edges.
35 *
36 * This graph gives an indication of the connectivity structure of the constraint matrix.
37 *
38 * The graph is output in DIMACS graph format.
39 */
40
41/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
42
44#include "scip/cons_knapsack.h"
45#include "scip/cons_linear.h"
46#include "scip/cons_logicor.h"
47#include "scip/cons_setppc.h"
48#include "scip/cons_varbound.h"
49#include "scip/pub_cons.h"
50#include "scip/pub_message.h"
51#include "scip/pub_reader.h"
52#include "scip/pub_var.h"
53#include "scip/reader_ccg.h"
54#include "scip/scip_cons.h"
55#include "scip/scip_mem.h"
56#include "scip/scip_message.h"
57#include "scip/scip_reader.h"
58#include "scip/scip_var.h"
59#include <string.h>
60
61#define READER_NAME "ccgreader"
62#define READER_DESC "file writer for column connectivity graph file format"
63#define READER_EXTENSION "ccg"
64
65/*
66 * Data structures
67 */
68
69
70/* graph data structure */
71struct sparseGraph
72{
73 unsigned int n; /**< number of nodes */
74 unsigned int m; /**< number of edges */
75 int** A; /**< adjacency list (= adjacent nodes) for each node (-1 for end of list) */
76 SCIP_Real** W; /**< weights for each edge */
77 unsigned int* deg; /**< degree each node */
78 unsigned int* size; /**< size of A/w for each node */
79};
80
81typedef struct sparseGraph SparseGraph;
82
83
84/*
85 * Local methods (for writing)
86 */
87
88/** initialize graph */
89static
91 SCIP* scip, /**< SCIP data structure */
92 SparseGraph* G, /**< graph to free */
93 unsigned int nNodes, /**< number of nodes */
94 unsigned int initSize /**< initial size of lists */
95 )
96{
97 unsigned int i;
98
99 G->n = nNodes;
100 G->m = 0;
101
102 SCIP_CALL( SCIPallocBufferArray(scip, &G->deg, (int) nNodes) );
103 SCIP_CALL( SCIPallocBufferArray(scip, &G->size, (int) nNodes) );
104 SCIP_CALL( SCIPallocBufferArray(scip, &G->A, (int) nNodes) );
105 SCIP_CALL( SCIPallocBufferArray(scip, &G->W, (int) nNodes) );
106
107 for( i = 0; i < nNodes; ++i )
108 {
109 G->deg[i] = 0;
110 G->size[i] = initSize;
111
112 SCIP_CALL( SCIPallocBufferArray(scip, &(G->A[i]), (int) initSize) ); /*lint !e866 */
113 SCIP_CALL( SCIPallocBufferArray(scip, &(G->W[i]), (int) initSize) ); /*lint !e866 */
114
115 G->A[i][0] = -1;
116 }
117
118 return SCIP_OKAY;
119}
120
121
122/** frees graph */
123static
125 SCIP* scip, /**< SCIP data structure */
126 SparseGraph* G /**< graph to free */
127 )
128{
129 unsigned int i;
130
131 for( i = 0; i < G->n; ++i )
132 {
133 SCIPfreeBufferArray(scip, &G->A[i]);
134 SCIPfreeBufferArray(scip, &G->W[i]);
135 }
136
139 SCIPfreeBufferArray(scip, &G->size);
140 SCIPfreeBufferArray(scip, &G->deg);
141}
142
143
144/** check whether there is enough capacity for one additional edge in the given adjacency list */
145static
147 SCIP* scip, /**< SCIP data structure */
148 SparseGraph* G, /**< graph */
149 unsigned int node /**< list for node */
150 )
151{
152 if( G->deg[node] + 2 > G->size[node] )
153 {
154 unsigned int newSize;
155 newSize = G->size[node] * 2;
156 SCIP_CALL( SCIPreallocBufferArray(scip, &(G->A[node]), (int) newSize) ); /*lint !e866 */
157 SCIP_CALL( SCIPreallocBufferArray(scip, &(G->W[node]), (int) newSize) ); /*lint !e866 */
158 G->size[node] = newSize;
159 }
160
161 return SCIP_OKAY;
162}
163
164
165/** transforms given variables, scalars, and constant to the corresponding active variables, scalars, and constant */
166static
168 SCIP* scip, /**< SCIP data structure */
169 SCIP_VAR** vars, /**< vars array to get active variables for */
170 SCIP_Real* scalars, /**< scalars a_1, ..., a_n inrc/scip/reader_graph.c linear sum a_1*x_1 + ... + a_n*x_n + c */
171 int* nvars, /**< pointer to number of variables and values in vars and vals array */
172 SCIP_Real* constant, /**< pointer to constant c in linear sum a_1*x_1 + ... + a_n*x_n + c */
173 SCIP_Bool transformed /**< transformed constraint? */
174 )
175{
176 int requiredsize;
177 int v;
178
179 assert( scip != NULL );
180 assert( vars != NULL );
181 assert( scalars != NULL );
182 assert( nvars != NULL );
183 assert( constant != NULL );
184
185 if( transformed )
186 {
187 SCIP_CALL( SCIPgetProbvarLinearSum(scip, vars, scalars, nvars, *nvars, constant, &requiredsize, TRUE) );
188
189 if( requiredsize > *nvars )
190 {
191 SCIP_CALL( SCIPreallocBufferArray(scip, &vars, requiredsize) );
192 SCIP_CALL( SCIPreallocBufferArray(scip, &scalars, requiredsize) );
193
194 SCIP_CALL( SCIPgetProbvarLinearSum(scip, vars, scalars, nvars, requiredsize, constant, &requiredsize, TRUE) );
195 assert( requiredsize <= *nvars );
196 }
197 }
198 else
199 {
200 for( v = 0; v < *nvars; ++v )
201 SCIP_CALL( SCIPvarGetOrigvarSum(&vars[v], &scalars[v], constant) );
202 }
203 return SCIP_OKAY;
204}
205
206
207/* Generate edges from given row
208 *
209 * We avoid parallel edges. Each row generates a clique in the graph.
210 */
211static
213 SCIP* scip, /**< SCIP data structure */
214 SCIP_VAR** vars, /**< array of constraint variables */
215 SCIP_Real* vals, /**< array of constraint values */
216 int nvars, /**< number of constraint variables */
217 SparseGraph* G /**< graph */
218 )
219{
220 int i, j;
221 SCIP_Real w;
222
223 assert( scip != NULL );
224 assert( nvars > 0 );
225
226 /* compute weight */
227 w = 0;
228 for( i = 0; i < nvars; ++i )
229 w += ABS(vals[i]);
230
231 /* generate edges */
232 for( i = 0; i < nvars; ++i )
233 {
234 int s;
235 s = SCIPvarGetProbindex(vars[i]);
236 assert( s >= 0 );
237
238 for( j = i+1; j < nvars; ++j )
239 {
240 unsigned int k;
241 int t;
242 int a;
243 t = SCIPvarGetProbindex(vars[j]);
244 assert( t >= 0 );
245
246 /* search whether edge is already present */
247 k = 0;
248 a = G->A[s][k];
249 while( a >= 0 )
250 {
251 /* if we found edge, add weight */
252 if( a == t )
253 {
254 G->W[s][k] += w;
255 break;
256 }
257 a = G->A[s][++k];
258 assert( k <= G->size[s] );
259 }
260
261 /* add new edge */
262 if( a < 0 )
263 {
264 /* forward edge */
265 SCIP_CALL( ensureEdgeCapacity(scip, G, (unsigned int) s) );
266 k = G->deg[s];
267 assert( G->A[s][k] == -1 );
268
269 G->A[s][k] = t;
270 G->W[s][k] = w;
271
272 G->A[s][k+1] = -1; /*lint !e679*/
273 ++G->deg[s];
274
275 /* backward edge */
276 SCIP_CALL( ensureEdgeCapacity(scip, G, (unsigned int) t) );
277 k = G->deg[t];
278 assert( G->A[t][k] == -1 );
279
280 G->A[t][k] = s;
281 G->W[t][k] = w;
282
283 G->A[t][k+1] = -1; /*lint !e679*/
284 ++G->deg[t];
285
286 /* increase number of edges */
287 ++G->m;
288 }
289 }
290 }
291
292 return SCIP_OKAY;
293}
294
295
296/** handle given linear constraint information */
297static
299 SCIP* scip, /**< SCIP data structure */
300 SCIP_VAR** vars, /**< array of variables */
301 SCIP_Real* vals, /**< array of coefficients values (or NULL if all coefficient values are 1) */
302 int nvars, /**< number of variables */
303 SCIP_Bool transformed, /**< transformed constraint? */
304 SparseGraph* G /**< graph */
305 )
306{
307 int v;
308 SCIP_VAR** activevars;
309 SCIP_Real* activevals;
310 int nactivevars;
311 SCIP_Real activeconstant = 0.0;
312
313 assert( scip != NULL );
314 assert( nvars > 0 );
315
316 /* duplicate variable and value array */
317 nactivevars = nvars;
318 SCIP_CALL( SCIPduplicateBufferArray(scip, &activevars, vars, nactivevars ) );
319 if( vals != NULL )
320 SCIP_CALL( SCIPduplicateBufferArray(scip, &activevals, vals, nactivevars ) );
321 else
322 {
323 SCIP_CALL( SCIPallocBufferArray(scip, &activevals, nactivevars) );
324
325 for( v = 0; v < nactivevars; ++v )
326 activevals[v] = 1.0;
327 }
328
329 /* retransform given variables to active variables */
330 SCIP_CALL( getActiveVariables(scip, activevars, activevals, &nactivevars, &activeconstant, transformed) );
331
332 /* print constraint */
333 SCIP_CALL( createEdgesFromRow(scip, activevars, activevals, nactivevars, G) );
334
335 /* free buffer arrays */
336 SCIPfreeBufferArray(scip, &activevars);
337 SCIPfreeBufferArray(scip, &activevals);
338
339 return SCIP_OKAY;
340}
341
342
343/*
344 * Callback methods of reader
345 */
346
347/** copy method for reader plugins (called when SCIP copies plugins) */
348static
350{ /*lint --e{715}*/
351 assert(scip != NULL);
352 assert(reader != NULL);
353 assert(strcmp(SCIPreaderGetName(reader), READER_NAME) == 0);
354
355 /* call inclusion method of reader */
357
358 return SCIP_OKAY;
359}
360
361
362/** problem writing method of reader */
363static
365{ /*lint --e{715}*/
366
367 SCIP_CALL( SCIPwriteCcg(scip, file, name, transformed, vars, nvars, conss, nconss, result) );
368
369 return SCIP_OKAY;
370}
371
372/*
373 * reader specific interface methods
374 */
375
376/** includes the ccg file reader in SCIP */
378 SCIP* scip /**< SCIP data structure */
379 )
380{
381 SCIP_READER* reader;
382
383 /* include reader */
385
386 assert(reader != NULL);
387
388 /* set non-fundamental callbacks via setter functions */
389 SCIP_CALL( SCIPsetReaderCopy(scip, reader, readerCopyCcg) );
390 SCIP_CALL( SCIPsetReaderWrite(scip, reader, readerWriteCcg) );
391
392 return SCIP_OKAY;
393}
394
395
396/** writes problem to file */
398 SCIP* scip, /**< SCIP data structure */
399 FILE* file, /**< output file, or NULL if standard output should be used */
400 const char* name, /**< problem name */
401 SCIP_Bool transformed, /**< TRUE iff problem is the transformed problem */
402 SCIP_VAR** vars, /**< array with active variables ordered binary, integer, implicit, continuous */
403 int nvars, /**< number of active variables in the problem */
404 SCIP_CONS** conss, /**< array with constraints of the problem */
405 int nconss, /**< number of constraints in the problem */
406 SCIP_RESULT* result /**< pointer to store the result of the file writing call */
407 )
408{ /*lint --e{715}*/
409 int c;
410 int v;
411 int i;
412
413 SCIP_CONSHDLR* conshdlr;
414 const char* conshdlrname;
415 SCIP_CONS* cons;
416
417 SCIP_VAR** consvars;
418 SCIP_Real* consvals;
419 int nconsvars;
420
421 SparseGraph G;
422
423 assert( scip != NULL );
424 assert( vars != NULL );
425 assert( nvars >= 0 );
426
427 /* initialize graph */
428 SCIP_CALL( initGraph(scip, &G, (unsigned int) nvars, 10) );
429
430 /* check all constraints */
431 for( c = 0; c < nconss; ++c)
432 {
433 cons = conss[c];
434 assert( cons != NULL);
435
436 /* in case the transformed is written only constraint are posted which are enabled in the current node */
437 assert(!transformed || SCIPconsIsEnabled(cons));
438
439 conshdlr = SCIPconsGetHdlr(cons);
440 assert( conshdlr != NULL );
441
442 conshdlrname = SCIPconshdlrGetName(conshdlr);
443 assert( transformed == SCIPconsIsTransformed(cons) );
444
445 if( strcmp(conshdlrname, "linear") == 0 )
446 {
447 consvars = SCIPgetVarsLinear(scip, cons);
448 nconsvars = SCIPgetNVarsLinear(scip, cons);
449 assert( consvars != NULL || nconsvars == 0 );
450
451 if( nconsvars > 0 )
452 {
454 SCIPgetNVarsLinear(scip, cons), transformed, &G) );
455 }
456 }
457 else if( strcmp(conshdlrname, "setppc") == 0 )
458 {
459 consvars = SCIPgetVarsSetppc(scip, cons);
460 nconsvars = SCIPgetNVarsSetppc(scip, cons);
461 assert( consvars != NULL || nconsvars == 0 );
462
463 if( nconsvars > 0 )
464 {
465 SCIP_CALL( handleLinearCons(scip, consvars, NULL, nconsvars, transformed, &G) );
466 }
467 }
468 else if( strcmp(conshdlrname, "logicor") == 0 )
469 {
470 consvars = SCIPgetVarsLogicor(scip, cons);
471 nconsvars = SCIPgetNVarsLogicor(scip, cons);
472 assert( consvars != NULL || nconsvars == 0 );
473
474 if( nconsvars > 0 )
475 {
477 }
478 }
479 else if( strcmp(conshdlrname, "knapsack") == 0 )
480 {
482
483 consvars = SCIPgetVarsKnapsack(scip, cons);
484 nconsvars = SCIPgetNVarsKnapsack(scip, cons);
485 assert( consvars != NULL || nconsvars == 0 );
486
487 /* copy Longint array to SCIP_Real array */
489 SCIP_CALL( SCIPallocBufferArray(scip, &consvals, nconsvars) );
490 for( v = 0; v < nconsvars; ++v )
491 consvals[v] = (SCIP_Real)w[v];
492
493 if( nconsvars > 0 )
494 {
495 SCIP_CALL( handleLinearCons(scip, consvars, consvals, nconsvars, transformed, &G) );
496 }
497 SCIPfreeBufferArray(scip, &consvals);
498 }
499 else if( strcmp(conshdlrname, "varbound") == 0 )
500 {
501 SCIP_CALL( SCIPallocBufferArray(scip, &consvars, 2) );
502 SCIP_CALL( SCIPallocBufferArray(scip, &consvals, 2) );
503
504 consvars[0] = SCIPgetVarVarbound(scip, cons);
505 consvars[1] = SCIPgetVbdvarVarbound(scip, cons);
506
507 consvals[0] = 1.0;
508 consvals[1] = SCIPgetVbdcoefVarbound(scip, cons);
509
510 SCIP_CALL( handleLinearCons(scip, consvars, consvals, 2, transformed, &G) );
511
512 SCIPfreeBufferArray(scip, &consvars);
513 SCIPfreeBufferArray(scip, &consvals);
514 }
515 else
516 {
517 SCIPwarningMessage(scip, "constraint handler <%s> cannot print requested format\n", conshdlrname );
518 SCIPinfoMessage(scip, file, "\\ ");
519 SCIP_CALL( SCIPprintCons(scip, cons, file) );
520 SCIPinfoMessage(scip, file, ";\n");
521 }
522 }
523
524 /* output graph */
525 SCIPinfoMessage(scip, file, "c graph generated from %s\n", name);
526 SCIPinfoMessage(scip, file, "p edge %d %u\n", nvars, G.m);
527
528 for( i = 0; i < nvars; ++i )
529 {
530 unsigned int k;
531 int a;
532
533 k = 0;
534 a = G.A[i][k];
535 while( a >= 0 )
536 {
537 /* only output edges from lower to higher number */
538 if( i < a )
539 {
540 /* note: node numbers start with 1 in the DIMACS format */
541 SCIPinfoMessage(scip, file, "e %d %d %f\n", i+1, a+1, G.W[i][k]);
542 }
543
544 a = G.A[i][++k];
545 assert( k <= G.size[i] );
546 }
547 assert( k == G.deg[i] );
548 }
549
550 freeGraph(scip, &G);
551
552 *result = SCIP_SUCCESS;
553
554 return SCIP_OKAY;
555}
SCIP_VAR * w
Definition: circlepacking.c:67
SCIP_VAR * a
Definition: circlepacking.c:66
Constraint handler for knapsack constraints of the form , x binary and .
Constraint handler for linear constraints in their most general form, .
Constraint handler for logicor constraints (equivalent to set covering, but algorithms are suited fo...
Constraint handler for the set partitioning / packing / covering constraints .
Constraint handler for variable bound constraints .
#define NULL
Definition: def.h:266
#define SCIP_Longint
Definition: def.h:157
#define SCIP_Bool
Definition: def.h:91
#define SCIP_Real
Definition: def.h:172
#define ABS(x)
Definition: def.h:234
#define TRUE
Definition: def.h:93
#define SCIP_CALL(x)
Definition: def.h:373
int SCIPgetNVarsKnapsack(SCIP *scip, SCIP_CONS *cons)
SCIP_Real SCIPgetVbdcoefVarbound(SCIP *scip, SCIP_CONS *cons)
int SCIPgetNVarsLogicor(SCIP *scip, SCIP_CONS *cons)
SCIP_VAR ** SCIPgetVarsLinear(SCIP *scip, SCIP_CONS *cons)
int SCIPgetNVarsLinear(SCIP *scip, SCIP_CONS *cons)
SCIP_Real * SCIPgetValsLinear(SCIP *scip, SCIP_CONS *cons)
SCIP_VAR * SCIPgetVbdvarVarbound(SCIP *scip, SCIP_CONS *cons)
int SCIPgetNVarsSetppc(SCIP *scip, SCIP_CONS *cons)
Definition: cons_setppc.c:9562
SCIP_VAR ** SCIPgetVarsSetppc(SCIP *scip, SCIP_CONS *cons)
Definition: cons_setppc.c:9585
SCIP_VAR * SCIPgetVarVarbound(SCIP *scip, SCIP_CONS *cons)
SCIP_Longint * SCIPgetWeightsKnapsack(SCIP *scip, SCIP_CONS *cons)
SCIP_VAR ** SCIPgetVarsLogicor(SCIP *scip, SCIP_CONS *cons)
SCIP_VAR ** SCIPgetVarsKnapsack(SCIP *scip, SCIP_CONS *cons)
SCIP_RETCODE SCIPwriteCcg(SCIP *scip, FILE *file, const char *name, SCIP_Bool transformed, SCIP_VAR **vars, int nvars, SCIP_CONS **conss, int nconss, SCIP_RESULT *result)
Definition: reader_ccg.c:397
SCIP_RETCODE SCIPincludeReaderCcg(SCIP *scip)
Definition: reader_ccg.c:377
void SCIPinfoMessage(SCIP *scip, FILE *file, const char *formatstr,...)
Definition: scip_message.c:208
void SCIPwarningMessage(SCIP *scip, const char *formatstr,...)
Definition: scip_message.c:120
const char * SCIPconshdlrGetName(SCIP_CONSHDLR *conshdlr)
Definition: cons.c:4197
SCIP_CONSHDLR * SCIPconsGetHdlr(SCIP_CONS *cons)
Definition: cons.c:8234
SCIP_RETCODE SCIPprintCons(SCIP *scip, SCIP_CONS *cons, FILE *file)
Definition: scip_cons.c:2537
SCIP_Bool SCIPconsIsTransformed(SCIP_CONS *cons)
Definition: cons.c:8523
SCIP_Bool SCIPconsIsEnabled(SCIP_CONS *cons)
Definition: cons.c:8311
#define SCIPallocBufferArray(scip, ptr, num)
Definition: scip_mem.h:124
#define SCIPreallocBufferArray(scip, ptr, num)
Definition: scip_mem.h:128
#define SCIPfreeBufferArray(scip, ptr)
Definition: scip_mem.h:136
#define SCIPduplicateBufferArray(scip, ptr, source, num)
Definition: scip_mem.h:132
SCIP_RETCODE SCIPincludeReaderBasic(SCIP *scip, SCIP_READER **readerptr, const char *name, const char *desc, const char *extension, SCIP_READERDATA *readerdata)
Definition: scip_reader.c:109
SCIP_RETCODE SCIPsetReaderCopy(SCIP *scip, SCIP_READER *reader, SCIP_DECL_READERCOPY((*readercopy)))
Definition: scip_reader.c:147
const char * SCIPreaderGetName(SCIP_READER *reader)
Definition: reader.c:557
SCIP_RETCODE SCIPsetReaderWrite(SCIP *scip, SCIP_READER *reader, SCIP_DECL_READERWRITE((*readerwrite)))
Definition: scip_reader.c:219
SCIP_RETCODE SCIPgetProbvarLinearSum(SCIP *scip, SCIP_VAR **vars, SCIP_Real *scalars, int *nvars, int varssize, SCIP_Real *constant, int *requiredsize, SCIP_Bool mergemultiples)
Definition: scip_var.c:1738
SCIP_RETCODE SCIPvarGetOrigvarSum(SCIP_VAR **var, SCIP_Real *scalar, SCIP_Real *constant)
Definition: var.c:12773
int SCIPvarGetProbindex(SCIP_VAR *var)
Definition: var.c:17767
static const SCIP_Real scalars[]
Definition: lp.c:5743
memory allocation routines
public methods for managing constraints
public methods for message output
public methods for input file readers
public methods for problem variables
static SCIP_RETCODE createEdgesFromRow(SCIP *scip, SCIP_VAR **vars, SCIP_Real *vals, int nvars, SparseGraph *G)
Definition: reader_ccg.c:212
static SCIP_DECL_READERCOPY(readerCopyCcg)
Definition: reader_ccg.c:349
static SCIP_RETCODE initGraph(SCIP *scip, SparseGraph *G, unsigned int nNodes, unsigned int initSize)
Definition: reader_ccg.c:90
struct sparseGraph SparseGraph
Definition: reader_ccg.c:81
#define READER_DESC
Definition: reader_ccg.c:62
static SCIP_RETCODE getActiveVariables(SCIP *scip, SCIP_VAR **vars, SCIP_Real *scalars, int *nvars, SCIP_Real *constant, SCIP_Bool transformed)
Definition: reader_ccg.c:167
#define READER_EXTENSION
Definition: reader_ccg.c:63
static SCIP_RETCODE ensureEdgeCapacity(SCIP *scip, SparseGraph *G, unsigned int node)
Definition: reader_ccg.c:146
static SCIP_DECL_READERWRITE(readerWriteCcg)
Definition: reader_ccg.c:364
#define READER_NAME
Definition: reader_ccg.c:61
static SCIP_RETCODE handleLinearCons(SCIP *scip, SCIP_VAR **vars, SCIP_Real *vals, int nvars, SCIP_Bool transformed, SparseGraph *G)
Definition: reader_ccg.c:298
static void freeGraph(SCIP *scip, SparseGraph *G)
Definition: reader_ccg.c:124
Column connectivity graph file reader (actually, only a writer)
public methods for constraint handler plugins and constraints
public methods for memory management
public methods for message handling
public methods for reader plugins
public methods for SCIP variables
@ SCIP_SUCCESS
Definition: type_result.h:58
enum SCIP_Result SCIP_RESULT
Definition: type_result.h:61
@ SCIP_OKAY
Definition: type_retcode.h:42
enum SCIP_Retcode SCIP_RETCODE
Definition: type_retcode.h:63