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addBits.cpp
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// Copyright (C) 2005, International Business Machines
// Corporation and others. All Rights Reserved.
// This code is licensed under the terms of the Eclipse Public License (EPL).
/*
This is a simple example to create a model using CoinModel.
For even simpler methods see addRows.cpp and addColumns.cpp
This reads in one model and then creates another one:
a) Row bounds
b) Column bounds and objective
c) Adds elements one by one by row.
Solve
It then repeats the exercise:
a) Column bounds
b) Objective - half the columns as is and half with multiplier of "1.0+multiplier"
c) It then adds rows one by one but for half the rows sets their values
with multiplier of "1.0+1.5*multiplier" where column affected
It then loops with multiplier going from 0.0 to 2.0 in increments of 0.1
(you can have as many different strings as you want)
*/
#include "ClpSimplex.hpp"
#include "CoinHelperFunctions.hpp"
#include "CoinTime.hpp"
#include "CoinModel.hpp"
#include <iomanip>
#include <cassert>
int main(int argc, const char *argv[])
{
// Empty model
ClpSimplex model;
std::string mpsFileName;
if (argc >= 2) mpsFileName = argv[1];
else {
#if defined(NETLIBDIR)
mpsFileName = NETLIBDIR "/25fv47.mps";
#else
fprintf(stderr, "Do not know where to find netlib MPS files.\n");
exit(1);
#endif
}
int status = model.readMps(mpsFileName.c_str(), true);
if (status) {
fprintf(stderr, "Bad readMps %s\n", mpsFileName.c_str());
fprintf(stdout, "Bad readMps %s\n", mpsFileName.c_str());
exit(1);
}
// Point to data
int numberRows = model.numberRows();
const double * rowLower = model.rowLower();
const double * rowUpper = model.rowUpper();
int numberColumns = model.numberColumns();
const double * columnLower = model.columnLower();
const double * columnUpper = model.columnUpper();
const double * columnObjective = model.objective();
CoinPackedMatrix * matrix = model.matrix();
// get row copy
CoinPackedMatrix rowCopy = *matrix;
rowCopy.reverseOrdering();
const int * column = rowCopy.getIndices();
const int * rowLength = rowCopy.getVectorLengths();
const CoinBigIndex * rowStart = rowCopy.getVectorStarts();
const double * element = rowCopy.getElements();
//const int * row = matrix->getIndices();
//const int * columnLength = matrix->getVectorLengths();
//const CoinBigIndex * columnStart = matrix->getVectorStarts();
//const double * elementByColumn = matrix->getElements();
// solve
model.dual();
// Now build new model
CoinModel build;
double time1 = CoinCpuTime();
// Row bounds
int iRow;
for (iRow = 0; iRow < numberRows; iRow++) {
build.setRowBounds(iRow, rowLower[iRow], rowUpper[iRow]);
// optional name
build.setRowName(iRow, model.rowName(iRow).c_str());
}
// Column bounds and objective
int iColumn;
for (iColumn = 0; iColumn < numberColumns; iColumn++) {
build.setColumnLower(iColumn, columnLower[iColumn]);
build.setColumnUpper(iColumn, columnUpper[iColumn]);
build.setObjective(iColumn, columnObjective[iColumn]);
// optional name
build.setColumnName(iColumn, model.columnName(iColumn).c_str());
}
// Adds elements one by one by row (backwards by row)
for (iRow = numberRows - 1; iRow >= 0; iRow--) {
int start = rowStart[iRow];
for (int j = start; j < start + rowLength[iRow]; j++)
build(iRow, column[j], element[j]);
}
double time2 = CoinCpuTime();
// Now create clpsimplex
ClpSimplex model2;
model2.loadProblem(build);
double time3 = CoinCpuTime();
printf("Time for build using CoinModel is %g (%g for loadproblem)\n", time3 - time1,
time3 - time2);
model2.dual();
// Now do with strings attached
// Save build to show how to go over rows
CoinModel saveBuild = build;
build = CoinModel();
time1 = CoinCpuTime();
// Column bounds
for (iColumn = 0; iColumn < numberColumns; iColumn++) {
build.setColumnLower(iColumn, columnLower[iColumn]);
build.setColumnUpper(iColumn, columnUpper[iColumn]);
}
// Objective - half the columns as is and half with multiplier of "1.0+multiplier"
// Pick up from saveBuild (for no reason at all)
for (iColumn = 0; iColumn < numberColumns; iColumn++) {
double value = saveBuild.objective(iColumn);
if (iColumn * 2 < numberColumns) {
build.setObjective(iColumn, columnObjective[iColumn]);
} else {
// create as string
char temp[100];
sprintf(temp, "%g + abs(%g*multiplier)", value, value);
build.setObjective(iColumn, temp);
}
}
// It then adds rows one by one but for half the rows sets their values
// with multiplier of "1.0+1.5*multiplier"
for (iRow = 0; iRow < numberRows; iRow++) {
if (iRow * 2 < numberRows) {
// add row in simple way
int start = rowStart[iRow];
build.addRow(rowLength[iRow], column + start, element + start,
rowLower[iRow], rowUpper[iRow]);
} else {
// As we have to add one by one let's get from saveBuild
CoinModelLink triple = saveBuild.firstInRow(iRow);
while (triple.column() >= 0) {
int iColumn = triple.column();
if (iColumn * 2 < numberColumns) {
// just value as normal
build(iRow, triple.column(), triple.value());
} else {
// create as string
char temp[100];
sprintf(temp, "%g + (1.5*%g*multiplier)", triple.value(), triple.value());
build(iRow, iColumn, temp);
}
triple = saveBuild.next(triple);
}
// but remember to do rhs
build.setRowLower(iRow, rowLower[iRow]);
build.setRowUpper(iRow, rowUpper[iRow]);
}
}
time2 = CoinCpuTime();
// Now create ClpSimplex
// If small switch on error printing
if (numberColumns < 50)
build.setLogLevel(1);
// should fail as we never set multiplier
int numberErrors = model2.loadProblem(build);
if( numberErrors == 0 )
{
printf("%d errors from model2.loadProblem(build), but we expected some", numberErrors);
return 1;
}
time3 = CoinCpuTime() - time2;
// subtract out unsuccessful times
time1 += time3;
time2 += time3;
build.associateElement("multiplier", 0.0);
numberErrors = model2.loadProblem(build);
assert(!numberErrors);
time3 = CoinCpuTime();
printf("Time for build using CoinModel is %g (%g for successful loadproblem)\n", time3 - time1,
time3 - time2);
build.writeMps("zero.mps");
// It then loops with multiplier going from 0.0 to 2.0 in increments of 0.1
for (double multiplier = 0.0; multiplier < 2.0; multiplier += 0.1) {
build.associateElement("multiplier", multiplier);
numberErrors = model2.loadProblem(build, true);
assert(!numberErrors);
model2.dual();
}
return 0;
}