| 1 | /* $Id: ClpNode.cpp 1753 2011-06-19 16:27:26Z stefan $ */ |
| 2 | // Copyright (C) 2008, International Business Machines |
| 3 | // Corporation and others. All Rights Reserved. |
| 4 | // This code is licensed under the terms of the Eclipse Public License (EPL). |
| 5 | |
| 6 | #include "CoinPragma.hpp" |
| 7 | #include "ClpSimplex.hpp" |
| 8 | #include "ClpNode.hpp" |
| 9 | #include "ClpFactorization.hpp" |
| 10 | #include "ClpDualRowSteepest.hpp" |
| 11 | |
| 12 | //############################################################################# |
| 13 | // Constructors / Destructor / Assignment |
| 14 | //############################################################################# |
| 15 | |
| 16 | //------------------------------------------------------------------- |
| 17 | // Default Constructor |
| 18 | //------------------------------------------------------------------- |
| 19 | ClpNode::ClpNode () : |
| 20 | branchingValue_(0.5), |
| 21 | objectiveValue_(0.0), |
| 22 | sumInfeasibilities_(0.0), |
| 23 | estimatedSolution_(0.0), |
| 24 | factorization_(NULL), |
| 25 | weights_(NULL), |
| 26 | status_(NULL), |
| 27 | primalSolution_(NULL), |
| 28 | dualSolution_(NULL), |
| 29 | lower_(NULL), |
| 30 | upper_(NULL), |
| 31 | pivotVariables_(NULL), |
| 32 | fixed_(NULL), |
| 33 | sequence_(1), |
| 34 | numberInfeasibilities_(0), |
| 35 | depth_(0), |
| 36 | numberFixed_(0), |
| 37 | flags_(0), |
| 38 | maximumFixed_(0), |
| 39 | maximumRows_(0), |
| 40 | maximumColumns_(0), |
| 41 | maximumIntegers_(0) |
| 42 | { |
| 43 | branchState_.firstBranch = 0; |
| 44 | branchState_.branch = 0; |
| 45 | } |
| 46 | //------------------------------------------------------------------- |
| 47 | // Useful Constructor from model |
| 48 | //------------------------------------------------------------------- |
| 49 | ClpNode::ClpNode (ClpSimplex * model, const ClpNodeStuff * stuff, int depth) : |
| 50 | branchingValue_(0.5), |
| 51 | objectiveValue_(0.0), |
| 52 | sumInfeasibilities_(0.0), |
| 53 | estimatedSolution_(0.0), |
| 54 | factorization_(NULL), |
| 55 | weights_(NULL), |
| 56 | status_(NULL), |
| 57 | primalSolution_(NULL), |
| 58 | dualSolution_(NULL), |
| 59 | lower_(NULL), |
| 60 | upper_(NULL), |
| 61 | pivotVariables_(NULL), |
| 62 | fixed_(NULL), |
| 63 | sequence_(1), |
| 64 | numberInfeasibilities_(0), |
| 65 | depth_(0), |
| 66 | numberFixed_(0), |
| 67 | flags_(0), |
| 68 | maximumFixed_(0), |
| 69 | maximumRows_(0), |
| 70 | maximumColumns_(0), |
| 71 | maximumIntegers_(0) |
| 72 | { |
| 73 | branchState_.firstBranch = 0; |
| 74 | branchState_.branch = 0; |
| 75 | gutsOfConstructor(model, stuff, 0, depth); |
| 76 | } |
| 77 | |
| 78 | //------------------------------------------------------------------- |
| 79 | // Most of work of constructor from model |
| 80 | //------------------------------------------------------------------- |
| 81 | void |
| 82 | ClpNode::gutsOfConstructor (ClpSimplex * model, const ClpNodeStuff * stuff, |
| 83 | int arraysExist, int depth) |
| 84 | { |
| 85 | int numberRows = model->numberRows(); |
| 86 | int numberColumns = model->numberColumns(); |
| 87 | int numberTotal = numberRows + numberColumns; |
| 88 | int maximumTotal = maximumRows_ + maximumColumns_; |
| 89 | depth_ = depth; |
| 90 | // save stuff |
| 91 | objectiveValue_ = model->objectiveValue() * model->optimizationDirection(); |
| 92 | estimatedSolution_ = objectiveValue_; |
| 93 | flags_ = 1; //say scaled |
| 94 | if (!arraysExist) { |
| 95 | maximumRows_ = CoinMax(maximumRows_, numberRows); |
| 96 | maximumColumns_ = CoinMax(maximumColumns_, numberColumns); |
| 97 | maximumTotal = maximumRows_ + maximumColumns_; |
| 98 | assert (!factorization_); |
| 99 | factorization_ = new ClpFactorization(*model->factorization(), numberRows); |
| 100 | status_ = CoinCopyOfArrayPartial(model->statusArray(), maximumTotal, numberTotal); |
| 101 | primalSolution_ = CoinCopyOfArrayPartial(model->solutionRegion(), maximumTotal, numberTotal); |
| 102 | dualSolution_ = CoinCopyOfArrayPartial(model->djRegion(), maximumTotal, numberTotal); //? has duals as well? |
| 103 | pivotVariables_ = CoinCopyOfArrayPartial(model->pivotVariable(), maximumRows_, numberRows); |
| 104 | ClpDualRowSteepest* pivot = |
| 105 | dynamic_cast< ClpDualRowSteepest*>(model->dualRowPivot()); |
| 106 | if (pivot) { |
| 107 | assert (!weights_); |
| 108 | weights_ = new ClpDualRowSteepest(*pivot); |
| 109 | } |
| 110 | } else { |
| 111 | if (arraysExist == 2) |
| 112 | assert(lower_); |
| 113 | if (numberRows <= maximumRows_ && numberColumns <= maximumColumns_) { |
| 114 | CoinMemcpyN(model->statusArray(), numberTotal, status_); |
| 115 | if (arraysExist == 1) { |
| 116 | *factorization_ = *model->factorization(); |
| 117 | CoinMemcpyN(model->solutionRegion(), numberTotal, primalSolution_); |
| 118 | CoinMemcpyN(model->djRegion(), numberTotal, dualSolution_); //? has duals as well? |
| 119 | ClpDualRowSteepest* pivot = |
| 120 | dynamic_cast< ClpDualRowSteepest*>(model->dualRowPivot()); |
| 121 | if (pivot) { |
| 122 | if (weights_) { |
| 123 | //if (weights_->numberRows()==pivot->numberRows()) { |
| 124 | weights_->fill(*pivot); |
| 125 | //} else { |
| 126 | //delete weights_; |
| 127 | //weights_ = new ClpDualRowSteepest(*pivot); |
| 128 | //} |
| 129 | } else { |
| 130 | weights_ = new ClpDualRowSteepest(*pivot); |
| 131 | } |
| 132 | } |
| 133 | CoinMemcpyN(model->pivotVariable(), numberRows, pivotVariables_); |
| 134 | } else { |
| 135 | CoinMemcpyN(model->primalColumnSolution(), numberColumns, primalSolution_); |
| 136 | CoinMemcpyN(model->dualColumnSolution(), numberColumns, dualSolution_); |
| 137 | flags_ = 0; |
| 138 | CoinMemcpyN(model->dualRowSolution(), numberRows, dualSolution_ + numberColumns); |
| 139 | } |
| 140 | } else { |
| 141 | // size has changed |
| 142 | maximumRows_ = CoinMax(maximumRows_, numberRows); |
| 143 | maximumColumns_ = CoinMax(maximumColumns_, numberColumns); |
| 144 | maximumTotal = maximumRows_ + maximumColumns_; |
| 145 | delete weights_; |
| 146 | weights_ = NULL; |
| 147 | delete [] status_; |
| 148 | delete [] primalSolution_; |
| 149 | delete [] dualSolution_; |
| 150 | delete [] pivotVariables_; |
| 151 | status_ = CoinCopyOfArrayPartial(model->statusArray(), maximumTotal, numberTotal); |
| 152 | primalSolution_ = new double [maximumTotal*sizeof(double)]; |
| 153 | dualSolution_ = new double [maximumTotal*sizeof(double)]; |
| 154 | if (arraysExist == 1) { |
| 155 | *factorization_ = *model->factorization(); // I think this is OK |
| 156 | CoinMemcpyN(model->solutionRegion(), numberTotal, primalSolution_); |
| 157 | CoinMemcpyN(model->djRegion(), numberTotal, dualSolution_); //? has duals as well? |
| 158 | ClpDualRowSteepest* pivot = |
| 159 | dynamic_cast< ClpDualRowSteepest*>(model->dualRowPivot()); |
| 160 | if (pivot) { |
| 161 | assert (!weights_); |
| 162 | weights_ = new ClpDualRowSteepest(*pivot); |
| 163 | } |
| 164 | } else { |
| 165 | CoinMemcpyN(model->primalColumnSolution(), numberColumns, primalSolution_); |
| 166 | CoinMemcpyN(model->dualColumnSolution(), numberColumns, dualSolution_); |
| 167 | flags_ = 0; |
| 168 | CoinMemcpyN(model->dualRowSolution(), numberRows, dualSolution_ + numberColumns); |
| 169 | } |
| 170 | pivotVariables_ = new int [maximumRows_]; |
| 171 | if (model->pivotVariable() && model->numberRows() == numberRows) |
| 172 | CoinMemcpyN(model->pivotVariable(), numberRows, pivotVariables_); |
| 173 | else |
| 174 | CoinFillN(pivotVariables_, numberRows, -1); |
| 175 | } |
| 176 | } |
| 177 | numberFixed_ = 0; |
| 178 | const double * lower = model->columnLower(); |
| 179 | const double * upper = model->columnUpper(); |
| 180 | const double * solution = model->primalColumnSolution(); |
| 181 | const char * integerType = model->integerInformation(); |
| 182 | const double * columnScale = model->columnScale(); |
| 183 | if (!flags_) |
| 184 | columnScale = NULL; // as duals correct |
| 185 | int iColumn; |
| 186 | sequence_ = -1; |
| 187 | double integerTolerance = stuff->integerTolerance_; |
| 188 | double mostAway = 0.0; |
| 189 | int bestPriority = COIN_INT_MAX; |
| 190 | sumInfeasibilities_ = 0.0; |
| 191 | numberInfeasibilities_ = 0; |
| 192 | int nFix = 0; |
| 193 | double gap = CoinMax(model->dualObjectiveLimit() - objectiveValue_, 1.0e-4); |
| 194 | #define PSEUDO 3 |
| 195 | #if PSEUDO==1||PSEUDO==2 |
| 196 | // Column copy of matrix |
| 197 | ClpPackedMatrix * matrix = model->clpScaledMatrix(); |
| 198 | const double *objective = model->costRegion() ; |
| 199 | if (!objective) { |
| 200 | objective = model->objective(); |
| 201 | //if (!matrix) |
| 202 | matrix = dynamic_cast< ClpPackedMatrix*>(model->clpMatrix()); |
| 203 | } else if (!matrix) { |
| 204 | matrix = dynamic_cast< ClpPackedMatrix*>(model->clpMatrix()); |
| 205 | } |
| 206 | const double * element = matrix->getElements(); |
| 207 | const int * row = matrix->getIndices(); |
| 208 | const CoinBigIndex * columnStart = matrix->getVectorStarts(); |
| 209 | const int * columnLength = matrix->getVectorLengths(); |
| 210 | double direction = model->optimizationDirection(); |
| 211 | const double * dual = dualSolution_ + numberColumns; |
| 212 | #if PSEUDO==2 |
| 213 | double * activeWeight = new double [numberRows]; |
| 214 | const double * rowLower = model->rowLower(); |
| 215 | const double * rowUpper = model->rowUpper(); |
| 216 | const double * rowActivity = model->primalRowSolution(); |
| 217 | double tolerance = 1.0e-6; |
| 218 | for (int iRow = 0; iRow < numberRows; iRow++) { |
| 219 | // could use pi to see if active or activity |
| 220 | if (rowActivity[iRow] > rowUpper[iRow] - tolerance |
| 221 | || rowActivity[iRow] < rowLower[iRow] + tolerance) { |
| 222 | activeWeight[iRow] = 0.0; |
| 223 | } else { |
| 224 | activeWeight[iRow] = -1.0; |
| 225 | } |
| 226 | } |
| 227 | for (int iColumn = 0; iColumn < numberColumns; iColumn++) { |
| 228 | if (integerType[iColumn]) { |
| 229 | double value = solution[iColumn]; |
| 230 | if (fabs(value - floor(value + 0.5)) > 1.0e-6) { |
| 231 | CoinBigIndex start = columnStart[iColumn]; |
| 232 | CoinBigIndex end = start + columnLength[iColumn]; |
| 233 | for (CoinBigIndex j = start; j < end; j++) { |
| 234 | int iRow = row[j]; |
| 235 | if (activeWeight[iRow] >= 0.0) |
| 236 | activeWeight[iRow] += 1.0; |
| 237 | } |
| 238 | } |
| 239 | } |
| 240 | } |
| 241 | for (int iRow = 0; iRow < numberRows; iRow++) { |
| 242 | if (activeWeight[iRow] > 0.0) { |
| 243 | // could use pi |
| 244 | activeWeight[iRow] = 1.0 / activeWeight[iRow]; |
| 245 | } else { |
| 246 | activeWeight[iRow] = 0.0; |
| 247 | } |
| 248 | } |
| 249 | #endif |
| 250 | #endif |
| 251 | const double * downPseudo = stuff->downPseudo_; |
| 252 | const int * numberDown = stuff->numberDown_; |
| 253 | const int * numberDownInfeasible = stuff->numberDownInfeasible_; |
| 254 | const double * upPseudo = stuff->upPseudo_; |
| 255 | const int * priority = stuff->priority_; |
| 256 | const int * numberUp = stuff->numberUp_; |
| 257 | const int * numberUpInfeasible = stuff->numberUpInfeasible_; |
| 258 | int numberBeforeTrust = stuff->numberBeforeTrust_; |
| 259 | int stateOfSearch = stuff->stateOfSearch_; |
| 260 | int iInteger = 0; |
| 261 | // weight at 1.0 is max min (CbcBranch was 0.8,0.1) (ClpNode was 0.9,0.9) |
| 262 | #define WEIGHT_AFTER 0.9 |
| 263 | #define WEIGHT_BEFORE 0.2 |
| 264 | //Stolen from Constraint Integer Programming book (with epsilon change) |
| 265 | #define WEIGHT_PRODUCT |
| 266 | #ifdef WEIGHT_PRODUCT |
| 267 | double smallChange = stuff->smallChange_; |
| 268 | #endif |
| 269 | #ifndef INFEAS_MULTIPLIER |
| 270 | #define INFEAS_MULTIPLIER 1.0 |
| 271 | #endif |
| 272 | for (iColumn = 0; iColumn < numberColumns; iColumn++) { |
| 273 | if (integerType[iColumn]) { |
| 274 | double value = solution[iColumn]; |
| 275 | value = CoinMax(value, static_cast<double> (lower[iColumn])); |
| 276 | value = CoinMin(value, static_cast<double> (upper[iColumn])); |
| 277 | double nearest = floor(value + 0.5); |
| 278 | if (fabs(value - nearest) > integerTolerance) { |
| 279 | numberInfeasibilities_++; |
| 280 | sumInfeasibilities_ += fabs(value - nearest); |
| 281 | #if PSEUDO==1 || PSEUDO ==2 |
| 282 | double upValue = 0.0; |
| 283 | double downValue = 0.0; |
| 284 | double value2 = direction * objective[iColumn]; |
| 285 | //double dj2=value2; |
| 286 | if (value2) { |
| 287 | if (value2 > 0.0) |
| 288 | upValue += 1.5 * value2; |
| 289 | else |
| 290 | downValue -= 1.5 * value2; |
| 291 | } |
| 292 | CoinBigIndex start = columnStart[iColumn]; |
| 293 | CoinBigIndex end = columnStart[iColumn] + columnLength[iColumn]; |
| 294 | for (CoinBigIndex j = start; j < end; j++) { |
| 295 | int iRow = row[j]; |
| 296 | value2 = -dual[iRow]; |
| 297 | if (value2) { |
| 298 | value2 *= element[j]; |
| 299 | //dj2 += value2; |
| 300 | #if PSEUDO==2 |
| 301 | assert (activeWeight[iRow] > 0.0 || fabs(dual[iRow]) < 1.0e-6); |
| 302 | value2 *= activeWeight[iRow]; |
| 303 | #endif |
| 304 | if (value2 > 0.0) |
| 305 | upValue += value2; |
| 306 | else |
| 307 | downValue -= value2; |
| 308 | } |
| 309 | } |
| 310 | //assert (fabs(dj2)<1.0e-4); |
| 311 | int nUp = numberUp[iInteger]; |
| 312 | double upValue2 = (upPseudo[iInteger] / (1.0 + nUp)); |
| 313 | // Extra for infeasible branches |
| 314 | if (nUp) { |
| 315 | double ratio = 1.0 + INFEAS_MULTIPLIER*static_cast<double>(numberUpInfeasible[iInteger]) / |
| 316 | static_cast<double>(nUp); |
| 317 | upValue2 *= ratio; |
| 318 | } |
| 319 | int nDown = numberDown[iInteger]; |
| 320 | double downValue2 = (downPseudo[iInteger] / (1.0 + nDown)); |
| 321 | if (nDown) { |
| 322 | double ratio = 1.0 + INFEAS_MULTIPLIER*static_cast<double>(numberDownInfeasible[iInteger]) / |
| 323 | static_cast<double>(nDown); |
| 324 | downValue2 *= ratio; |
| 325 | } |
| 326 | //printf("col %d - downPi %g up %g, downPs %g up %g\n", |
| 327 | // iColumn,upValue,downValue,upValue2,downValue2); |
| 328 | upValue = CoinMax(0.1 * upValue, upValue2); |
| 329 | downValue = CoinMax(0.1 * downValue, downValue2); |
| 330 | //upValue = CoinMax(upValue,1.0e-8); |
| 331 | //downValue = CoinMax(downValue,1.0e-8); |
| 332 | upValue *= ceil(value) - value; |
| 333 | downValue *= value - floor(value); |
| 334 | double infeasibility; |
| 335 | //if (depth>1000) |
| 336 | //infeasibility = CoinMax(upValue,downValue)+integerTolerance; |
| 337 | //else |
| 338 | if (stateOfSearch <= 2) { |
| 339 | // no solution |
| 340 | infeasibility = (1.0 - WEIGHT_BEFORE) * CoinMax(upValue, downValue) + |
| 341 | WEIGHT_BEFORE * CoinMin(upValue, downValue) + integerTolerance; |
| 342 | } else { |
| 343 | #ifndef WEIGHT_PRODUCT |
| 344 | infeasibility = (1.0 - WEIGHT_AFTER) * CoinMax(upValue, downValue) + |
| 345 | WEIGHT_AFTER * CoinMin(upValue, downValue) + integerTolerance; |
| 346 | #else |
| 347 | infeasibility = CoinMax(CoinMax(upValue, downValue), smallChange) * |
| 348 | CoinMax(CoinMin(upValue, downValue), smallChange); |
| 349 | #endif |
| 350 | } |
| 351 | estimatedSolution_ += CoinMin(upValue2, downValue2); |
| 352 | #elif PSEUDO==3 |
| 353 | int nUp = numberUp[iInteger]; |
| 354 | int nDown = numberDown[iInteger]; |
| 355 | // Extra 100% for infeasible branches |
| 356 | double upValue = (ceil(value) - value) * (upPseudo[iInteger] / |
| 357 | (1.0 + nUp)); |
| 358 | if (nUp) { |
| 359 | double ratio = 1.0 + INFEAS_MULTIPLIER*static_cast<double>(numberUpInfeasible[iInteger]) / |
| 360 | static_cast<double>(nUp); |
| 361 | upValue *= ratio; |
| 362 | } |
| 363 | double downValue = (value - floor(value)) * (downPseudo[iInteger] / |
| 364 | (1.0 + nDown)); |
| 365 | if (nDown) { |
| 366 | double ratio = 1.0 + INFEAS_MULTIPLIER*static_cast<double>(numberDownInfeasible[iInteger]) / |
| 367 | static_cast<double>(nDown); |
| 368 | downValue *= ratio; |
| 369 | } |
| 370 | if (nUp < numberBeforeTrust || nDown < numberBeforeTrust) { |
| 371 | upValue *= 10.0; |
| 372 | downValue *= 10.0; |
| 373 | } |
| 374 | |
| 375 | double infeasibility; |
| 376 | //if (depth>1000) |
| 377 | //infeasibility = CoinMax(upValue,downValue)+integerTolerance; |
| 378 | //else |
| 379 | if (stateOfSearch <= 2) { |
| 380 | // no solution |
| 381 | infeasibility = (1.0 - WEIGHT_BEFORE) * CoinMax(upValue, downValue) + |
| 382 | WEIGHT_BEFORE * CoinMin(upValue, downValue) + integerTolerance; |
| 383 | } else { |
| 384 | #ifndef WEIGHT_PRODUCT |
| 385 | infeasibility = (1.0 - WEIGHT_AFTER) * CoinMax(upValue, downValue) + |
| 386 | WEIGHT_AFTER * CoinMin(upValue, downValue) + integerTolerance; |
| 387 | #else |
| 388 | infeasibility = CoinMax(CoinMax(upValue, downValue), smallChange) * |
| 389 | CoinMax(CoinMin(upValue, downValue), smallChange); |
| 390 | //infeasibility += CoinMin(upValue,downValue)*smallChange; |
| 391 | #endif |
| 392 | } |
| 393 | //infeasibility = 0.1*CoinMax(upValue,downValue)+ |
| 394 | //0.9*CoinMin(upValue,downValue) + integerTolerance; |
| 395 | estimatedSolution_ += CoinMin(upValue, downValue); |
| 396 | #else |
| 397 | double infeasibility = fabs(value - nearest); |
| 398 | #endif |
| 399 | assert (infeasibility > 0.0); |
| 400 | if (priority[iInteger] < bestPriority) { |
| 401 | mostAway = 0.0; |
| 402 | bestPriority = priority[iInteger]; |
| 403 | } else if (priority[iInteger] > bestPriority) { |
| 404 | infeasibility = 0.0; |
| 405 | } |
| 406 | if (infeasibility > mostAway) { |
| 407 | mostAway = infeasibility; |
| 408 | sequence_ = iColumn; |
| 409 | branchingValue_ = value; |
| 410 | branchState_.branch = 0; |
| 411 | #if PSEUDO>0 |
| 412 | if (upValue <= downValue) |
| 413 | branchState_.firstBranch = 1; // up |
| 414 | else |
| 415 | branchState_.firstBranch = 0; // down |
| 416 | #else |
| 417 | if (value <= nearest) |
| 418 | branchState_.firstBranch = 1; // up |
| 419 | else |
| 420 | branchState_.firstBranch = 0; // down |
| 421 | #endif |
| 422 | } |
| 423 | } else if (model->getColumnStatus(iColumn) == ClpSimplex::atLowerBound) { |
| 424 | bool fix = false; |
| 425 | if (columnScale) { |
| 426 | if (dualSolution_[iColumn] > gap * columnScale[iColumn]) |
| 427 | fix = true; |
| 428 | } else { |
| 429 | if (dualSolution_[iColumn] > gap) |
| 430 | fix = true; |
| 431 | } |
| 432 | if (fix) { |
| 433 | nFix++; |
| 434 | //printf("fixed %d to zero gap %g dj %g %g\n",iColumn, |
| 435 | // gap,dualSolution_[iColumn], columnScale ? columnScale[iColumn]:1.0); |
| 436 | model->setColumnStatus(iColumn, ClpSimplex::isFixed); |
| 437 | } |
| 438 | } else if (model->getColumnStatus(iColumn) == ClpSimplex::atUpperBound) { |
| 439 | bool fix = false; |
| 440 | if (columnScale) { |
| 441 | if (-dualSolution_[iColumn] > gap * columnScale[iColumn]) |
| 442 | fix = true; |
| 443 | } else { |
| 444 | if (-dualSolution_[iColumn] > gap) |
| 445 | fix = true; |
| 446 | } |
| 447 | if (fix) { |
| 448 | nFix++; |
| 449 | //printf("fixed %d to one gap %g dj %g %g\n",iColumn, |
| 450 | // gap,dualSolution_[iColumn], columnScale ? columnScale[iColumn]:1.0); |
| 451 | model->setColumnStatus(iColumn, ClpSimplex::isFixed); |
| 452 | } |
| 453 | } |
| 454 | iInteger++; |
| 455 | } |
| 456 | } |
| 457 | //printf("Choosing %d inf %g pri %d\n", |
| 458 | // sequence_,mostAway,bestPriority); |
| 459 | #if PSEUDO == 2 |
| 460 | delete [] activeWeight; |
| 461 | #endif |
| 462 | if (lower_) { |
| 463 | // save bounds |
| 464 | if (iInteger > maximumIntegers_) { |
| 465 | delete [] lower_; |
| 466 | delete [] upper_; |
| 467 | maximumIntegers_ = iInteger; |
| 468 | lower_ = new int [maximumIntegers_]; |
| 469 | upper_ = new int [maximumIntegers_]; |
| 470 | } |
| 471 | iInteger = 0; |
| 472 | for (iColumn = 0; iColumn < numberColumns; iColumn++) { |
| 473 | if (integerType[iColumn]) { |
| 474 | lower_[iInteger] = static_cast<int> (lower[iColumn]); |
| 475 | upper_[iInteger] = static_cast<int> (upper[iColumn]); |
| 476 | iInteger++; |
| 477 | } |
| 478 | } |
| 479 | } |
| 480 | // Could omit save of fixed if doing full save of bounds |
| 481 | if (sequence_ >= 0 && nFix) { |
| 482 | if (nFix > maximumFixed_) { |
| 483 | delete [] fixed_; |
| 484 | fixed_ = new int [nFix]; |
| 485 | maximumFixed_ = nFix; |
| 486 | } |
| 487 | numberFixed_ = 0; |
| 488 | unsigned char * status = model->statusArray(); |
| 489 | for (iColumn = 0; iColumn < numberColumns; iColumn++) { |
| 490 | if (status[iColumn] != status_[iColumn]) { |
| 491 | if (solution[iColumn] <= lower[iColumn] + 2.0 * integerTolerance) { |
| 492 | model->setColumnUpper(iColumn, lower[iColumn]); |
| 493 | fixed_[numberFixed_++] = iColumn; |
| 494 | } else { |
| 495 | assert (solution[iColumn] >= upper[iColumn] - 2.0 * integerTolerance); |
| 496 | model->setColumnLower(iColumn, upper[iColumn]); |
| 497 | fixed_[numberFixed_++] = iColumn | 0x10000000; |
| 498 | } |
| 499 | } |
| 500 | } |
| 501 | //printf("%d fixed\n",numberFixed_); |
| 502 | } |
| 503 | } |
| 504 | |
| 505 | //------------------------------------------------------------------- |
| 506 | // Copy constructor |
| 507 | //------------------------------------------------------------------- |
| 508 | ClpNode::ClpNode (const ClpNode & ) |
| 509 | { |
| 510 | printf("ClpNode copy not implemented\n" ); |
| 511 | abort(); |
| 512 | } |
| 513 | |
| 514 | //------------------------------------------------------------------- |
| 515 | // Destructor |
| 516 | //------------------------------------------------------------------- |
| 517 | ClpNode::~ClpNode () |
| 518 | { |
| 519 | delete factorization_; |
| 520 | delete weights_; |
| 521 | delete [] status_; |
| 522 | delete [] primalSolution_; |
| 523 | delete [] dualSolution_; |
| 524 | delete [] lower_; |
| 525 | delete [] upper_; |
| 526 | delete [] pivotVariables_; |
| 527 | delete [] fixed_; |
| 528 | } |
| 529 | |
| 530 | //---------------------------------------------------------------- |
| 531 | // Assignment operator |
| 532 | //------------------------------------------------------------------- |
| 533 | ClpNode & |
| 534 | ClpNode::operator=(const ClpNode& rhs) |
| 535 | { |
| 536 | if (this != &rhs) { |
| 537 | printf("ClpNode = not implemented\n" ); |
| 538 | abort(); |
| 539 | } |
| 540 | return *this; |
| 541 | } |
| 542 | // Create odd arrays |
| 543 | void |
| 544 | ClpNode::createArrays(ClpSimplex * model) |
| 545 | { |
| 546 | int numberColumns = model->numberColumns(); |
| 547 | const char * integerType = model->integerInformation(); |
| 548 | int iColumn; |
| 549 | int numberIntegers = 0; |
| 550 | for (iColumn = 0; iColumn < numberColumns; iColumn++) { |
| 551 | if (integerType[iColumn]) |
| 552 | numberIntegers++; |
| 553 | } |
| 554 | if (numberIntegers > maximumIntegers_ || !lower_) { |
| 555 | delete [] lower_; |
| 556 | delete [] upper_; |
| 557 | maximumIntegers_ = numberIntegers; |
| 558 | lower_ = new int [numberIntegers]; |
| 559 | upper_ = new int [numberIntegers]; |
| 560 | } |
| 561 | } |
| 562 | // Clean up as crunch is different model |
| 563 | void |
| 564 | ClpNode::cleanUpForCrunch() |
| 565 | { |
| 566 | delete weights_; |
| 567 | weights_ = NULL; |
| 568 | } |
| 569 | /* Applies node to model |
| 570 | 0 - just tree bounds |
| 571 | 1 - tree bounds and basis etc |
| 572 | 2 - saved bounds and basis etc |
| 573 | */ |
| 574 | void |
| 575 | ClpNode::applyNode(ClpSimplex * model, int doBoundsEtc ) |
| 576 | { |
| 577 | int numberColumns = model->numberColumns(); |
| 578 | const double * lower = model->columnLower(); |
| 579 | const double * upper = model->columnUpper(); |
| 580 | if (doBoundsEtc < 2) { |
| 581 | // current bound |
| 582 | int way = branchState_.firstBranch; |
| 583 | if (branchState_.branch > 0) |
| 584 | way = 1 - way; |
| 585 | if (!way) { |
| 586 | // This should also do underlying internal bound |
| 587 | model->setColumnUpper(sequence_, floor(branchingValue_)); |
| 588 | } else { |
| 589 | // This should also do underlying internal bound |
| 590 | model->setColumnLower(sequence_, ceil(branchingValue_)); |
| 591 | } |
| 592 | // apply dj fixings |
| 593 | for (int i = 0; i < numberFixed_; i++) { |
| 594 | int iColumn = fixed_[i]; |
| 595 | if ((iColumn & 0x10000000) != 0) { |
| 596 | iColumn &= 0xfffffff; |
| 597 | model->setColumnLower(iColumn, upper[iColumn]); |
| 598 | } else { |
| 599 | model->setColumnUpper(iColumn, lower[iColumn]); |
| 600 | } |
| 601 | } |
| 602 | } else { |
| 603 | // restore bounds |
| 604 | assert (lower_); |
| 605 | int iInteger = -1; |
| 606 | const char * integerType = model->integerInformation(); |
| 607 | for (int iColumn = 0; iColumn < numberColumns; iColumn++) { |
| 608 | if (integerType[iColumn]) { |
| 609 | iInteger++; |
| 610 | if (lower_[iInteger] != static_cast<int> (lower[iColumn])) |
| 611 | model->setColumnLower(iColumn, lower_[iInteger]); |
| 612 | if (upper_[iInteger] != static_cast<int> (upper[iColumn])) |
| 613 | model->setColumnUpper(iColumn, upper_[iInteger]); |
| 614 | } |
| 615 | } |
| 616 | } |
| 617 | if (doBoundsEtc && doBoundsEtc < 3) { |
| 618 | //model->copyFactorization(*factorization_); |
| 619 | model->copyFactorization(*factorization_); |
| 620 | ClpDualRowSteepest* pivot = |
| 621 | dynamic_cast< ClpDualRowSteepest*>(model->dualRowPivot()); |
| 622 | if (pivot && weights_) { |
| 623 | pivot->fill(*weights_); |
| 624 | } |
| 625 | int numberRows = model->numberRows(); |
| 626 | int numberTotal = numberRows + numberColumns; |
| 627 | CoinMemcpyN(status_, numberTotal, model->statusArray()); |
| 628 | if (doBoundsEtc < 2) { |
| 629 | CoinMemcpyN(primalSolution_, numberTotal, model->solutionRegion()); |
| 630 | CoinMemcpyN(dualSolution_, numberTotal, model->djRegion()); |
| 631 | CoinMemcpyN(pivotVariables_, numberRows, model->pivotVariable()); |
| 632 | CoinMemcpyN(dualSolution_ + numberColumns, numberRows, model->dualRowSolution()); |
| 633 | } else { |
| 634 | CoinMemcpyN(primalSolution_, numberColumns, model->primalColumnSolution()); |
| 635 | CoinMemcpyN(dualSolution_, numberColumns, model->dualColumnSolution()); |
| 636 | CoinMemcpyN(dualSolution_ + numberColumns, numberRows, model->dualRowSolution()); |
| 637 | if (model->columnScale()) { |
| 638 | // See if just primal will work |
| 639 | double * solution = model->primalColumnSolution(); |
| 640 | const double * columnScale = model->columnScale(); |
| 641 | int i; |
| 642 | for (i = 0; i < numberColumns; i++) { |
| 643 | solution[i] *= columnScale[i]; |
| 644 | } |
| 645 | } |
| 646 | } |
| 647 | model->setObjectiveValue(objectiveValue_); |
| 648 | } |
| 649 | } |
| 650 | // Choose a new variable |
| 651 | void |
| 652 | ClpNode::chooseVariable(ClpSimplex * , ClpNodeStuff * /*info*/) |
| 653 | { |
| 654 | #if 0 |
| 655 | int way = branchState_.firstBranch; |
| 656 | if (branchState_.branch > 0) |
| 657 | way = 1 - way; |
| 658 | assert (!branchState_.branch); |
| 659 | // We need to use pseudo costs to choose a variable |
| 660 | int numberColumns = model->numberColumns(); |
| 661 | #endif |
| 662 | } |
| 663 | // Fix on reduced costs |
| 664 | int |
| 665 | ClpNode::fixOnReducedCosts(ClpSimplex * ) |
| 666 | { |
| 667 | |
| 668 | return 0; |
| 669 | } |
| 670 | /* Way for integer variable -1 down , +1 up */ |
| 671 | int |
| 672 | ClpNode::way() const |
| 673 | { |
| 674 | int way = branchState_.firstBranch; |
| 675 | if (branchState_.branch > 0) |
| 676 | way = 1 - way; |
| 677 | return way == 0 ? -1 : +1; |
| 678 | } |
| 679 | // Return true if branch exhausted |
| 680 | bool |
| 681 | ClpNode::fathomed() const |
| 682 | { |
| 683 | return branchState_.branch >= 1 |
| 684 | ; |
| 685 | } |
| 686 | // Change state of variable i.e. go other way |
| 687 | void |
| 688 | ClpNode::changeState() |
| 689 | { |
| 690 | branchState_.branch++; |
| 691 | assert (branchState_.branch <= 2); |
| 692 | } |
| 693 | //############################################################################# |
| 694 | // Constructors / Destructor / Assignment |
| 695 | //############################################################################# |
| 696 | |
| 697 | //------------------------------------------------------------------- |
| 698 | // Default Constructor |
| 699 | //------------------------------------------------------------------- |
| 700 | ClpNodeStuff::ClpNodeStuff () : |
| 701 | integerTolerance_(1.0e-7), |
| 702 | integerIncrement_(1.0e-8), |
| 703 | smallChange_(1.0e-8), |
| 704 | downPseudo_(NULL), |
| 705 | upPseudo_(NULL), |
| 706 | priority_(NULL), |
| 707 | numberDown_(NULL), |
| 708 | numberUp_(NULL), |
| 709 | numberDownInfeasible_(NULL), |
| 710 | numberUpInfeasible_(NULL), |
| 711 | saveCosts_(NULL), |
| 712 | nodeInfo_(NULL), |
| 713 | large_(NULL), |
| 714 | whichRow_(NULL), |
| 715 | whichColumn_(NULL), |
| 716 | #ifndef NO_FATHOM_PRINT |
| 717 | handler_(NULL), |
| 718 | #endif |
| 719 | nBound_(0), |
| 720 | saveOptions_(0), |
| 721 | solverOptions_(0), |
| 722 | maximumNodes_(0), |
| 723 | numberBeforeTrust_(0), |
| 724 | stateOfSearch_(0), |
| 725 | nDepth_(-1), |
| 726 | nNodes_(0), |
| 727 | numberNodesExplored_(0), |
| 728 | numberIterations_(0), |
| 729 | presolveType_(0) |
| 730 | #ifndef NO_FATHOM_PRINT |
| 731 | ,startingDepth_(-1), |
| 732 | nodeCalled_(-1) |
| 733 | #endif |
| 734 | { |
| 735 | |
| 736 | } |
| 737 | |
| 738 | //------------------------------------------------------------------- |
| 739 | // Copy constructor |
| 740 | //------------------------------------------------------------------- |
| 741 | ClpNodeStuff::ClpNodeStuff (const ClpNodeStuff & rhs) |
| 742 | : integerTolerance_(rhs.integerTolerance_), |
| 743 | integerIncrement_(rhs.integerIncrement_), |
| 744 | smallChange_(rhs.smallChange_), |
| 745 | downPseudo_(NULL), |
| 746 | upPseudo_(NULL), |
| 747 | priority_(NULL), |
| 748 | numberDown_(NULL), |
| 749 | numberUp_(NULL), |
| 750 | numberDownInfeasible_(NULL), |
| 751 | numberUpInfeasible_(NULL), |
| 752 | saveCosts_(NULL), |
| 753 | nodeInfo_(NULL), |
| 754 | large_(NULL), |
| 755 | whichRow_(NULL), |
| 756 | whichColumn_(NULL), |
| 757 | #ifndef NO_FATHOM_PRINT |
| 758 | handler_(rhs.handler_), |
| 759 | #endif |
| 760 | nBound_(0), |
| 761 | saveOptions_(rhs.saveOptions_), |
| 762 | solverOptions_(rhs.solverOptions_), |
| 763 | maximumNodes_(rhs.maximumNodes_), |
| 764 | numberBeforeTrust_(rhs.numberBeforeTrust_), |
| 765 | stateOfSearch_(rhs.stateOfSearch_), |
| 766 | nDepth_(rhs.nDepth_), |
| 767 | nNodes_(rhs.nNodes_), |
| 768 | numberNodesExplored_(rhs.numberNodesExplored_), |
| 769 | numberIterations_(rhs.numberIterations_), |
| 770 | presolveType_(rhs.presolveType_) |
| 771 | #ifndef NO_FATHOM_PRINT |
| 772 | ,startingDepth_(rhs.startingDepth_), |
| 773 | nodeCalled_(rhs.nodeCalled_) |
| 774 | #endif |
| 775 | { |
| 776 | } |
| 777 | //---------------------------------------------------------------- |
| 778 | // Assignment operator |
| 779 | //------------------------------------------------------------------- |
| 780 | ClpNodeStuff & |
| 781 | ClpNodeStuff::operator=(const ClpNodeStuff& rhs) |
| 782 | { |
| 783 | if (this != &rhs) { |
| 784 | integerTolerance_ = rhs.integerTolerance_; |
| 785 | integerIncrement_ = rhs.integerIncrement_; |
| 786 | smallChange_ = rhs.smallChange_; |
| 787 | downPseudo_ = NULL; |
| 788 | upPseudo_ = NULL; |
| 789 | priority_ = NULL; |
| 790 | numberDown_ = NULL; |
| 791 | numberUp_ = NULL; |
| 792 | numberDownInfeasible_ = NULL; |
| 793 | numberUpInfeasible_ = NULL; |
| 794 | saveCosts_ = NULL; |
| 795 | nodeInfo_ = NULL; |
| 796 | large_ = NULL; |
| 797 | whichRow_ = NULL; |
| 798 | whichColumn_ = NULL; |
| 799 | nBound_ = 0; |
| 800 | saveOptions_ = rhs.saveOptions_; |
| 801 | solverOptions_ = rhs.solverOptions_; |
| 802 | maximumNodes_ = rhs.maximumNodes_; |
| 803 | numberBeforeTrust_ = rhs.numberBeforeTrust_; |
| 804 | stateOfSearch_ = rhs.stateOfSearch_; |
| 805 | int n = maximumNodes(); |
| 806 | if (n) { |
| 807 | for (int i = 0; i < n; i++) |
| 808 | delete nodeInfo_[i]; |
| 809 | } |
| 810 | delete [] nodeInfo_; |
| 811 | nodeInfo_ = NULL; |
| 812 | nDepth_ = rhs.nDepth_; |
| 813 | nNodes_ = rhs.nNodes_; |
| 814 | numberNodesExplored_ = rhs.numberNodesExplored_; |
| 815 | numberIterations_ = rhs.numberIterations_; |
| 816 | presolveType_ = rhs.presolveType_; |
| 817 | #ifndef NO_FATHOM_PRINT |
| 818 | handler_ = rhs.handler_; |
| 819 | startingDepth_ = rhs.startingDepth_; |
| 820 | nodeCalled_ = rhs.nodeCalled_; |
| 821 | #endif |
| 822 | } |
| 823 | return *this; |
| 824 | } |
| 825 | // Zaps stuff 1 - arrays, 2 ints, 3 both |
| 826 | void |
| 827 | ClpNodeStuff::zap(int type) |
| 828 | { |
| 829 | if ((type & 1) != 0) { |
| 830 | downPseudo_ = NULL; |
| 831 | upPseudo_ = NULL; |
| 832 | priority_ = NULL; |
| 833 | numberDown_ = NULL; |
| 834 | numberUp_ = NULL; |
| 835 | numberDownInfeasible_ = NULL; |
| 836 | numberUpInfeasible_ = NULL; |
| 837 | saveCosts_ = NULL; |
| 838 | nodeInfo_ = NULL; |
| 839 | large_ = NULL; |
| 840 | whichRow_ = NULL; |
| 841 | whichColumn_ = NULL; |
| 842 | } |
| 843 | if ((type & 2) != 0) { |
| 844 | nBound_ = 0; |
| 845 | saveOptions_ = 0; |
| 846 | solverOptions_ = 0; |
| 847 | maximumNodes_ = 0; |
| 848 | numberBeforeTrust_ = 0; |
| 849 | stateOfSearch_ = 0; |
| 850 | nDepth_ = -1; |
| 851 | nNodes_ = 0; |
| 852 | presolveType_ = 0; |
| 853 | numberNodesExplored_ = 0; |
| 854 | numberIterations_ = 0; |
| 855 | } |
| 856 | } |
| 857 | |
| 858 | //------------------------------------------------------------------- |
| 859 | // Destructor |
| 860 | //------------------------------------------------------------------- |
| 861 | ClpNodeStuff::~ClpNodeStuff () |
| 862 | { |
| 863 | delete [] downPseudo_; |
| 864 | delete [] upPseudo_; |
| 865 | delete [] priority_; |
| 866 | delete [] numberDown_; |
| 867 | delete [] numberUp_; |
| 868 | delete [] numberDownInfeasible_; |
| 869 | delete [] numberUpInfeasible_; |
| 870 | int n = maximumNodes(); |
| 871 | if (n) { |
| 872 | for (int i = 0; i < n; i++) |
| 873 | delete nodeInfo_[i]; |
| 874 | } |
| 875 | delete [] nodeInfo_; |
| 876 | #ifdef CLP_INVESTIGATE |
| 877 | // Should be NULL - find out why not? |
| 878 | assert (!saveCosts_); |
| 879 | #endif |
| 880 | delete [] saveCosts_; |
| 881 | } |
| 882 | // Return maximum number of nodes |
| 883 | int |
| 884 | ClpNodeStuff::maximumNodes() const |
| 885 | { |
| 886 | int n = 0; |
| 887 | #if 0 |
| 888 | if (nDepth_ != -1) { |
| 889 | if ((solverOptions_ & 32) == 0) |
| 890 | n = (1 << nDepth_); |
| 891 | else if (nDepth_) |
| 892 | n = 1; |
| 893 | } |
| 894 | assert (n == maximumNodes_ - (1 + nDepth_) || n == 0); |
| 895 | #else |
| 896 | if (nDepth_ != -1) { |
| 897 | n = maximumNodes_ - (1 + nDepth_); |
| 898 | assert (n > 0); |
| 899 | } |
| 900 | #endif |
| 901 | return n; |
| 902 | } |
| 903 | // Return maximum space for nodes |
| 904 | int |
| 905 | ClpNodeStuff::maximumSpace() const |
| 906 | { |
| 907 | return maximumNodes_; |
| 908 | } |
| 909 | /* Fill with pseudocosts */ |
| 910 | void |
| 911 | ClpNodeStuff::fillPseudoCosts(const double * down, const double * up, |
| 912 | const int * priority, |
| 913 | const int * numberDown, const int * numberUp, |
| 914 | const int * numberDownInfeasible, |
| 915 | const int * numberUpInfeasible, |
| 916 | int number) |
| 917 | { |
| 918 | delete [] downPseudo_; |
| 919 | delete [] upPseudo_; |
| 920 | delete [] priority_; |
| 921 | delete [] numberDown_; |
| 922 | delete [] numberUp_; |
| 923 | delete [] numberDownInfeasible_; |
| 924 | delete [] numberUpInfeasible_; |
| 925 | downPseudo_ = CoinCopyOfArray(down, number); |
| 926 | upPseudo_ = CoinCopyOfArray(up, number); |
| 927 | priority_ = CoinCopyOfArray(priority, number); |
| 928 | numberDown_ = CoinCopyOfArray(numberDown, number); |
| 929 | numberUp_ = CoinCopyOfArray(numberUp, number); |
| 930 | numberDownInfeasible_ = CoinCopyOfArray(numberDownInfeasible, number); |
| 931 | numberUpInfeasible_ = CoinCopyOfArray(numberUpInfeasible, number); |
| 932 | // scale |
| 933 | for (int i = 0; i < number; i++) { |
| 934 | int n; |
| 935 | n = numberDown_[i]; |
| 936 | if (n) |
| 937 | downPseudo_[i] *= n; |
| 938 | n = numberUp_[i]; |
| 939 | if (n) |
| 940 | upPseudo_[i] *= n; |
| 941 | } |
| 942 | } |
| 943 | // Update pseudo costs |
| 944 | void |
| 945 | ClpNodeStuff::update(int way, int sequence, double change, bool feasible) |
| 946 | { |
| 947 | assert (numberDown_[sequence] >= numberDownInfeasible_[sequence]); |
| 948 | assert (numberUp_[sequence] >= numberUpInfeasible_[sequence]); |
| 949 | if (way < 0) { |
| 950 | numberDown_[sequence]++; |
| 951 | if (!feasible) |
| 952 | numberDownInfeasible_[sequence]++; |
| 953 | downPseudo_[sequence] += CoinMax(change, 1.0e-12); |
| 954 | } else { |
| 955 | numberUp_[sequence]++; |
| 956 | if (!feasible) |
| 957 | numberUpInfeasible_[sequence]++; |
| 958 | upPseudo_[sequence] += CoinMax(change, 1.0e-12); |
| 959 | } |
| 960 | } |
| 961 | //############################################################################# |
| 962 | // Constructors / Destructor / Assignment |
| 963 | //############################################################################# |
| 964 | |
| 965 | //------------------------------------------------------------------- |
| 966 | // Default Constructor |
| 967 | //------------------------------------------------------------------- |
| 968 | ClpHashValue::ClpHashValue () : |
| 969 | hash_(NULL), |
| 970 | numberHash_(0), |
| 971 | maxHash_(0), |
| 972 | lastUsed_(-1) |
| 973 | { |
| 974 | } |
| 975 | //------------------------------------------------------------------- |
| 976 | // Useful Constructor from model |
| 977 | //------------------------------------------------------------------- |
| 978 | ClpHashValue::ClpHashValue (ClpSimplex * model) : |
| 979 | hash_(NULL), |
| 980 | numberHash_(0), |
| 981 | maxHash_(0), |
| 982 | lastUsed_(-1) |
| 983 | { |
| 984 | maxHash_ = 1000; |
| 985 | int numberColumns = model->numberColumns(); |
| 986 | const double * columnLower = model->columnLower(); |
| 987 | const double * columnUpper = model->columnUpper(); |
| 988 | int numberRows = model->numberRows(); |
| 989 | const double * rowLower = model->rowLower(); |
| 990 | const double * rowUpper = model->rowUpper(); |
| 991 | const double * objective = model->objective(); |
| 992 | CoinPackedMatrix * matrix = model->matrix(); |
| 993 | const int * columnLength = matrix->getVectorLengths(); |
| 994 | const CoinBigIndex * columnStart = matrix->getVectorStarts(); |
| 995 | const double * elementByColumn = matrix->getElements(); |
| 996 | int i; |
| 997 | int ipos; |
| 998 | |
| 999 | hash_ = new CoinHashLink[maxHash_]; |
| 1000 | |
| 1001 | for ( i = 0; i < maxHash_; i++ ) { |
| 1002 | hash_[i].value = -1.0e-100; |
| 1003 | hash_[i].index = -1; |
| 1004 | hash_[i].next = -1; |
| 1005 | } |
| 1006 | // Put in +0 |
| 1007 | hash_[0].value = 0.0; |
| 1008 | hash_[0].index = 0; |
| 1009 | numberHash_ = 1; |
| 1010 | /* |
| 1011 | * Initialize the hash table. Only the index of the first value that |
| 1012 | * hashes to a value is entered in the table; subsequent values that |
| 1013 | * collide with it are not entered. |
| 1014 | */ |
| 1015 | for ( i = 0; i < numberColumns; i++ ) { |
| 1016 | int length = columnLength[i]; |
| 1017 | CoinBigIndex start = columnStart[i]; |
| 1018 | for (CoinBigIndex i = start; i < start + length; i++) { |
| 1019 | double value = elementByColumn[i]; |
| 1020 | ipos = hash ( value); |
| 1021 | if ( hash_[ipos].index == -1 ) { |
| 1022 | hash_[ipos].index = numberHash_; |
| 1023 | numberHash_++; |
| 1024 | hash_[ipos].value = elementByColumn[i]; |
| 1025 | } |
| 1026 | } |
| 1027 | } |
| 1028 | |
| 1029 | /* |
| 1030 | * Now take care of the values that collided in the preceding loop, |
| 1031 | * Also do other stuff |
| 1032 | */ |
| 1033 | for ( i = 0; i < numberRows; i++ ) { |
| 1034 | if (numberHash_ * 2 > maxHash_) |
| 1035 | resize(true); |
| 1036 | double value; |
| 1037 | value = rowLower[i]; |
| 1038 | ipos = index(value); |
| 1039 | if (ipos < 0) |
| 1040 | addValue(value); |
| 1041 | value = rowUpper[i]; |
| 1042 | ipos = index(value); |
| 1043 | if (ipos < 0) |
| 1044 | addValue(value); |
| 1045 | } |
| 1046 | for ( i = 0; i < numberColumns; i++ ) { |
| 1047 | int length = columnLength[i]; |
| 1048 | CoinBigIndex start = columnStart[i]; |
| 1049 | if (numberHash_ * 2 > maxHash_) |
| 1050 | resize(true); |
| 1051 | double value; |
| 1052 | value = objective[i]; |
| 1053 | ipos = index(value); |
| 1054 | if (ipos < 0) |
| 1055 | addValue(value); |
| 1056 | value = columnLower[i]; |
| 1057 | ipos = index(value); |
| 1058 | if (ipos < 0) |
| 1059 | addValue(value); |
| 1060 | value = columnUpper[i]; |
| 1061 | ipos = index(value); |
| 1062 | if (ipos < 0) |
| 1063 | addValue(value); |
| 1064 | for (CoinBigIndex j = start; j < start + length; j++) { |
| 1065 | if (numberHash_ * 2 > maxHash_) |
| 1066 | resize(true); |
| 1067 | value = elementByColumn[j]; |
| 1068 | ipos = index(value); |
| 1069 | if (ipos < 0) |
| 1070 | addValue(value); |
| 1071 | } |
| 1072 | } |
| 1073 | resize(false); |
| 1074 | } |
| 1075 | |
| 1076 | //------------------------------------------------------------------- |
| 1077 | // Copy constructor |
| 1078 | //------------------------------------------------------------------- |
| 1079 | ClpHashValue::ClpHashValue (const ClpHashValue & rhs) : |
| 1080 | hash_(NULL), |
| 1081 | numberHash_(rhs.numberHash_), |
| 1082 | maxHash_(rhs.maxHash_), |
| 1083 | lastUsed_(rhs.lastUsed_) |
| 1084 | { |
| 1085 | if (maxHash_) { |
| 1086 | CoinHashLink * newHash = new CoinHashLink[maxHash_]; |
| 1087 | int i; |
| 1088 | for ( i = 0; i < maxHash_; i++ ) { |
| 1089 | newHash[i].value = rhs.hash_[i].value; |
| 1090 | newHash[i].index = rhs.hash_[i].index; |
| 1091 | newHash[i].next = rhs.hash_[i].next; |
| 1092 | } |
| 1093 | } |
| 1094 | } |
| 1095 | |
| 1096 | //------------------------------------------------------------------- |
| 1097 | // Destructor |
| 1098 | //------------------------------------------------------------------- |
| 1099 | ClpHashValue::~ClpHashValue () |
| 1100 | { |
| 1101 | delete [] hash_; |
| 1102 | } |
| 1103 | |
| 1104 | //---------------------------------------------------------------- |
| 1105 | // Assignment operator |
| 1106 | //------------------------------------------------------------------- |
| 1107 | ClpHashValue & |
| 1108 | ClpHashValue::operator=(const ClpHashValue& rhs) |
| 1109 | { |
| 1110 | if (this != &rhs) { |
| 1111 | numberHash_ = rhs.numberHash_; |
| 1112 | maxHash_ = rhs.maxHash_; |
| 1113 | lastUsed_ = rhs.lastUsed_; |
| 1114 | delete [] hash_; |
| 1115 | if (maxHash_) { |
| 1116 | CoinHashLink * newHash = new CoinHashLink[maxHash_]; |
| 1117 | int i; |
| 1118 | for ( i = 0; i < maxHash_; i++ ) { |
| 1119 | newHash[i].value = rhs.hash_[i].value; |
| 1120 | newHash[i].index = rhs.hash_[i].index; |
| 1121 | newHash[i].next = rhs.hash_[i].next; |
| 1122 | } |
| 1123 | } else { |
| 1124 | hash_ = NULL; |
| 1125 | } |
| 1126 | } |
| 1127 | return *this; |
| 1128 | } |
| 1129 | // Return index or -1 if not found |
| 1130 | int |
| 1131 | ClpHashValue::index(double value) const |
| 1132 | { |
| 1133 | if (!value) |
| 1134 | return 0; |
| 1135 | int ipos = hash ( value); |
| 1136 | int returnCode = -1; |
| 1137 | while ( hash_[ipos].index >= 0 ) { |
| 1138 | if (value == hash_[ipos].value) { |
| 1139 | returnCode = hash_[ipos].index; |
| 1140 | break; |
| 1141 | } else { |
| 1142 | int k = hash_[ipos].next; |
| 1143 | if ( k == -1 ) { |
| 1144 | break; |
| 1145 | } else { |
| 1146 | ipos = k; |
| 1147 | } |
| 1148 | } |
| 1149 | } |
| 1150 | return returnCode; |
| 1151 | } |
| 1152 | // Add value to list and return index |
| 1153 | int |
| 1154 | ClpHashValue::addValue(double value) |
| 1155 | { |
| 1156 | int ipos = hash ( value); |
| 1157 | |
| 1158 | assert (value != hash_[ipos].value); |
| 1159 | if (hash_[ipos].index == -1) { |
| 1160 | // can put in here |
| 1161 | hash_[ipos].index = numberHash_; |
| 1162 | numberHash_++; |
| 1163 | hash_[ipos].value = value; |
| 1164 | return numberHash_ - 1; |
| 1165 | } |
| 1166 | int k = hash_[ipos].next; |
| 1167 | while (k != -1) { |
| 1168 | ipos = k; |
| 1169 | k = hash_[ipos].next; |
| 1170 | } |
| 1171 | while ( true ) { |
| 1172 | ++lastUsed_; |
| 1173 | assert (lastUsed_ <= maxHash_); |
| 1174 | if ( hash_[lastUsed_].index == -1 ) { |
| 1175 | break; |
| 1176 | } |
| 1177 | } |
| 1178 | hash_[ipos].next = lastUsed_; |
| 1179 | hash_[lastUsed_].index = numberHash_; |
| 1180 | numberHash_++; |
| 1181 | hash_[lastUsed_].value = value; |
| 1182 | return numberHash_ - 1; |
| 1183 | } |
| 1184 | |
| 1185 | namespace { |
| 1186 | /* |
| 1187 | Originally a local static variable in ClpHashValue::hash. |
| 1188 | Local static variables are a problem when building DLLs on Windows, but |
| 1189 | file-local constants seem to be ok. -- lh, 101016 -- |
| 1190 | */ |
| 1191 | const int mmult_for_hash[] = { |
| 1192 | 262139, 259459, 256889, 254291, 251701, 249133, 246709, 244247, |
| 1193 | 241667, 239179, 236609, 233983, 231289, 228859, 226357, 223829, |
| 1194 | 221281, 218849, 216319, 213721, 211093, 208673, 206263, 203773, |
| 1195 | 201233, 198637, 196159, 193603, 191161, 188701, 186149, 183761, |
| 1196 | 181303, 178873, 176389, 173897, 171469, 169049, 166471, 163871, |
| 1197 | 161387, 158941, 156437, 153949, 151531, 149159, 146749, 144299, |
| 1198 | 141709, 139369, 136889, 134591, 132169, 129641, 127343, 124853, |
| 1199 | 122477, 120163, 117757, 115361, 112979, 110567, 108179, 105727, |
| 1200 | 103387, 101021, 98639, 96179, 93911, 91583, 89317, 86939, 84521, |
| 1201 | 82183, 79939, 77587, 75307, 72959, 70793, 68447, 66103 |
| 1202 | }; |
| 1203 | } |
| 1204 | int |
| 1205 | ClpHashValue::hash ( double value) const |
| 1206 | { |
| 1207 | |
| 1208 | union { |
| 1209 | double d; |
| 1210 | char c[8]; |
| 1211 | } v1; |
| 1212 | assert (sizeof(double) == 8); |
| 1213 | v1.d = value; |
| 1214 | int n = 0; |
| 1215 | int j; |
| 1216 | |
| 1217 | for ( j = 0; j < 8; ++j ) { |
| 1218 | int ichar = v1.c[j]; |
| 1219 | n += mmult_for_hash[j] * ichar; |
| 1220 | } |
| 1221 | return ( abs ( n ) % maxHash_ ); /* integer abs */ |
| 1222 | } |
| 1223 | void |
| 1224 | ClpHashValue::resize(bool increaseMax) |
| 1225 | { |
| 1226 | int newSize = increaseMax ? ((3 * maxHash_) >> 1) + 1000 : maxHash_; |
| 1227 | CoinHashLink * newHash = new CoinHashLink[newSize]; |
| 1228 | int i; |
| 1229 | for ( i = 0; i < newSize; i++ ) { |
| 1230 | newHash[i].value = -1.0e-100; |
| 1231 | newHash[i].index = -1; |
| 1232 | newHash[i].next = -1; |
| 1233 | } |
| 1234 | // swap |
| 1235 | CoinHashLink * oldHash = hash_; |
| 1236 | hash_ = newHash; |
| 1237 | int oldSize = maxHash_; |
| 1238 | maxHash_ = newSize; |
| 1239 | /* |
| 1240 | * Initialize the hash table. Only the index of the first value that |
| 1241 | * hashes to a value is entered in the table; subsequent values that |
| 1242 | * collide with it are not entered. |
| 1243 | */ |
| 1244 | int ipos; |
| 1245 | int n = 0; |
| 1246 | for ( i = 0; i < oldSize; i++ ) { |
| 1247 | if (oldHash[i].index >= 0) { |
| 1248 | ipos = hash ( oldHash[i].value); |
| 1249 | if ( hash_[ipos].index == -1 ) { |
| 1250 | hash_[ipos].index = n; |
| 1251 | n++; |
| 1252 | hash_[ipos].value = oldHash[i].value; |
| 1253 | // unmark |
| 1254 | oldHash[i].index = -1; |
| 1255 | } |
| 1256 | } |
| 1257 | } |
| 1258 | /* |
| 1259 | * Now take care of the values that collided in the preceding loop, |
| 1260 | * by finding some other entry in the table for them. |
| 1261 | * Since there are as many entries in the table as there are values, |
| 1262 | * there must be room for them. |
| 1263 | */ |
| 1264 | lastUsed_ = -1; |
| 1265 | for ( i = 0; i < oldSize; ++i ) { |
| 1266 | if (oldHash[i].index >= 0) { |
| 1267 | double value = oldHash[i].value; |
| 1268 | ipos = hash ( value); |
| 1269 | int k; |
| 1270 | while ( true ) { |
| 1271 | assert (value != hash_[ipos].value); |
| 1272 | k = hash_[ipos].next; |
| 1273 | if ( k == -1 ) { |
| 1274 | while ( true ) { |
| 1275 | ++lastUsed_; |
| 1276 | assert (lastUsed_ <= maxHash_); |
| 1277 | if ( hash_[lastUsed_].index == -1 ) { |
| 1278 | break; |
| 1279 | } |
| 1280 | } |
| 1281 | hash_[ipos].next = lastUsed_; |
| 1282 | hash_[lastUsed_].index = n; |
| 1283 | n++; |
| 1284 | hash_[lastUsed_].value = value; |
| 1285 | break; |
| 1286 | } else { |
| 1287 | ipos = k; |
| 1288 | } |
| 1289 | } |
| 1290 | } |
| 1291 | } |
| 1292 | assert (n == numberHash_); |
| 1293 | delete [] oldHash; |
| 1294 | } |
| 1295 | |