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add_executable(ClpTest "ClpTest.cpp") | ||
target_include_directories(Clp PUBLIC | ||
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/src> | ||
$<INSTALL_INTERFACE:include/coin>) | ||
target_compile_definitions(ClpTest | ||
PUBLIC HAVE_CONFIG_H | ||
PRIVATE CLP_BUILD COIN_HAS_CLP) | ||
if(CMAKE_VERSION VERSION_LESS "3.8.2") | ||
set_property(TARGET ClpTest PROPERTY CXX_STANDARD 11) | ||
set_property(TARGET ClpTest PROPERTY CXX_STANDARD_REQUIRED ON) | ||
else() | ||
target_compile_features(ClpTest PUBLIC cxx_std_11) | ||
endif() | ||
if(APPLE) | ||
set_target_properties(ClpTest PROPERTIES | ||
INSTALL_RPATH "@loader_path/../${CMAKE_INSTALL_LIBDIR};@loader_path") | ||
elseif(UNIX) | ||
cmake_path(RELATIVE_PATH CMAKE_INSTALL_FULL_LIBDIR | ||
BASE_DIRECTORY ${CMAKE_INSTALL_FULL_BINDIR} | ||
OUTPUT_VARIABLE libdir_relative_path) | ||
set_target_properties(ClpTest PROPERTIES | ||
INSTALL_RPATH "$ORIGIN/${libdir_relative_path}:$ORIGIN") | ||
endif() | ||
target_link_libraries(ClpTest PRIVATE | ||
Coin::CoinUtils | ||
Coin::Osi | ||
Coin::Clp) | ||
set_target_properties(ClpTest PROPERTIES | ||
VERSION ${PROJECT_VERSION} | ||
SOVERSION ${PROJECT_VERSION_MAJOR}) | ||
add_executable(Coin::ClpTest ALIAS ClpTest) | ||
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add_test(NAME ClpTest COMMAND ClpTest) |
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// This is a simple example to create a model by row | ||
#include "ClpSimplex.hpp" | ||
#include "CoinBuild.hpp" | ||
#include "CoinHelperFunctions.hpp" | ||
#include "CoinModel.hpp" | ||
#include "CoinTime.hpp" | ||
#include <ClpConfig.h> | ||
#include <ClpConfig.h> | ||
#include <CoinUtilsConfig.h> | ||
#include <OsiConfig.h> | ||
#include <iostream> | ||
#include <iomanip> | ||
#include <cassert> | ||
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int main(int argc, const char *argv[]) { | ||
std::cout << "coinutils version: " << COINUTILS_VERSION << std::endl; | ||
std::cout << "osi version: " << OSI_VERSION << std::endl; | ||
std::cout << "clp version: " << CLP_VERSION << std::endl; | ||
#if COIN_BIG_INDEX<2 | ||
try { | ||
// Empty model | ||
ClpSimplex model; | ||
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// Objective - just nonzeros | ||
int objIndex[] = {0, 2}; | ||
double objValue[] = {1.0, 4.0}; | ||
// Upper bounds - as dense vector | ||
double upper[] = {2.0, COIN_DBL_MAX, 4.0}; | ||
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// Create space for 3 columns | ||
model.resize(0, 3); | ||
// Fill in | ||
int i; | ||
// Virtuous way | ||
// First objective | ||
for (i = 0; i < 2; i++) | ||
model.setObjectiveCoefficient(objIndex[i], objValue[i]); | ||
// Now bounds (lower will be zero by default but do again) | ||
for (i = 0; i < 3; i++) { | ||
model.setColumnLower(i, 0.0); | ||
model.setColumnUpper(i, upper[i]); | ||
} | ||
/* | ||
We could also have done in non-virtuous way e.g. | ||
double * objective = model.objective(); | ||
and then set directly | ||
*/ | ||
// Faster to add rows all at once - but this is easier to show | ||
// Now add row 1 as >= 2.0 | ||
int row1Index[] = {0, 2}; | ||
double row1Value[] = {1.0, 1.0}; | ||
model.addRow(2, row1Index, row1Value, | ||
2.0, COIN_DBL_MAX); | ||
// Now add row 2 as == 1.0 | ||
int row2Index[] = {0, 1, 2}; | ||
double row2Value[] = {1.0, -5.0, 1.0}; | ||
model.addRow(3, row2Index, row2Value, | ||
1.0, 1.0); | ||
// solve | ||
model.dual(); | ||
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/* | ||
Adding one row at a time has a significant overhead so let's | ||
try a more complicated but faster way | ||
First time adding in 10000 rows one by one | ||
*/ | ||
model.allSlackBasis(); | ||
ClpSimplex modelSave = model; | ||
double time1 = CoinCpuTime(); | ||
int k; | ||
for (k = 0; k < 10000; k++) { | ||
int row2Index[] = {0, 1, 2}; | ||
double row2Value[] = {1.0, -5.0, 1.0}; | ||
model.addRow(3, row2Index, row2Value, | ||
1.0, 1.0); | ||
} | ||
printf("Time for 10000 addRow is %g\n", CoinCpuTime() - time1); | ||
model.dual(); | ||
model = modelSave; | ||
// Now use build | ||
CoinBuild buildObject; | ||
time1 = CoinCpuTime(); | ||
for (k = 0; k < 10000; k++) { | ||
int row2Index[] = {0, 1, 2}; | ||
double row2Value[] = {1.0, -5.0, 1.0}; | ||
buildObject.addRow(3, row2Index, row2Value, | ||
1.0, 1.0); | ||
} | ||
model.addRows(buildObject); | ||
printf("Time for 10000 addRow using CoinBuild is %g\n", CoinCpuTime() - time1); | ||
model.dual(); | ||
model = modelSave; | ||
int del[] = {0, 1, 2}; | ||
model.deleteRows(2, del); | ||
// Now use build +-1 | ||
CoinBuild buildObject2; | ||
time1 = CoinCpuTime(); | ||
for (k = 0; k < 10000; k++) { | ||
int row2Index[] = {0, 1, 2}; | ||
double row2Value[] = {1.0, -1.0, 1.0}; | ||
buildObject2.addRow(3, row2Index, row2Value, | ||
1.0, 1.0); | ||
} | ||
model.addRows(buildObject2, true); | ||
printf("Time for 10000 addRow using CoinBuild+-1 is %g\n", CoinCpuTime() - time1); | ||
model.dual(); | ||
model = modelSave; | ||
model.deleteRows(2, del); | ||
// Now use build +-1 | ||
CoinModel modelObject2; | ||
time1 = CoinCpuTime(); | ||
for (k = 0; k < 10000; k++) { | ||
int row2Index[] = {0, 1, 2}; | ||
double row2Value[] = {1.0, -1.0, 1.0}; | ||
modelObject2.addRow(3, row2Index, row2Value, | ||
1.0, 1.0); | ||
} | ||
model.addRows(modelObject2, true); | ||
printf("Time for 10000 addRow using CoinModel+-1 is %g\n", CoinCpuTime() - time1); | ||
model.dual(); | ||
model = ClpSimplex(); | ||
// Now use build +-1 | ||
CoinModel modelObject3; | ||
time1 = CoinCpuTime(); | ||
for (k = 0; k < 10000; k++) { | ||
int row2Index[] = {0, 1, 2}; | ||
double row2Value[] = {1.0, -1.0, 1.0}; | ||
modelObject3.addRow(3, row2Index, row2Value, | ||
1.0, 1.0); | ||
} | ||
model.loadProblem(modelObject3, true); | ||
printf("Time for 10000 addRow using CoinModel load +-1 is %g\n", CoinCpuTime() - time1); | ||
model.writeMps("xx.mps"); | ||
model.dual(); | ||
model = modelSave; | ||
// Now use model | ||
CoinModel modelObject; | ||
time1 = CoinCpuTime(); | ||
for (k = 0; k < 10000; k++) { | ||
int row2Index[] = {0, 1, 2}; | ||
double row2Value[] = {1.0, -5.0, 1.0}; | ||
modelObject.addRow(3, row2Index, row2Value, | ||
1.0, 1.0); | ||
} | ||
model.addRows(modelObject); | ||
printf("Time for 10000 addRow using CoinModel is %g\n", CoinCpuTime() - time1); | ||
model.dual(); | ||
model.writeMps("b.mps"); | ||
// Method using least memory - but most complicated | ||
time1 = CoinCpuTime(); | ||
// Assumes we know exact size of model and matrix | ||
// Empty model | ||
ClpSimplex model2; | ||
{ | ||
// Create space for 3 columns and 10000 rows | ||
int numberRows = 10000; | ||
int numberColumns = 3; | ||
// This is fully dense - but would not normally be so | ||
int numberElements = numberRows * numberColumns; | ||
// Arrays will be set to default values | ||
model2.resize(numberRows, numberColumns); | ||
double * elements = new double [numberElements]; | ||
CoinBigIndex * starts = new CoinBigIndex [numberColumns+1]; | ||
int * rows = new int [numberElements];; | ||
int * lengths = new int[numberColumns]; | ||
// Now fill in - totally unsafe but .... | ||
// no need as defaults to 0.0 double * columnLower = model2.columnLower(); | ||
double * columnUpper = model2.columnUpper(); | ||
double * objective = model2.objective(); | ||
double * rowLower = model2.rowLower(); | ||
double * rowUpper = model2.rowUpper(); | ||
// Columns - objective was packed | ||
for (k = 0; k < 2; k++) { | ||
int iColumn = objIndex[k]; | ||
objective[iColumn] = objValue[k]; | ||
} | ||
for (k = 0; k < numberColumns; k++) | ||
columnUpper[k] = upper[k]; | ||
// Rows | ||
for (k = 0; k < numberRows; k++) { | ||
rowLower[k] = 1.0; | ||
rowUpper[k] = 1.0; | ||
} | ||
// Now elements | ||
double row2Value[] = {1.0, -5.0, 1.0}; | ||
CoinBigIndex put = 0; | ||
for (k = 0; k < numberColumns; k++) { | ||
starts[k] = put; | ||
lengths[k] = numberRows; | ||
double value = row2Value[k]; | ||
for (int i = 0; i < numberRows; i++) { | ||
rows[put] = i; | ||
elements[put] = value; | ||
put++; | ||
} | ||
} | ||
starts[numberColumns] = put; | ||
// assign to matrix | ||
CoinPackedMatrix * matrix = new CoinPackedMatrix(true, 0.0, 0.0); | ||
matrix->assignMatrix(true, numberRows, numberColumns, numberElements, | ||
elements, rows, starts, lengths); | ||
ClpPackedMatrix * clpMatrix = new ClpPackedMatrix(matrix); | ||
model2.replaceMatrix(clpMatrix, true); | ||
printf("Time for 10000 addRow using hand written code is %g\n", CoinCpuTime() - time1); | ||
// If matrix is really big could switch off creation of row copy | ||
// model2.setSpecialOptions(256); | ||
} | ||
model2.dual(); | ||
model2.writeMps("a.mps"); | ||
// Print column solution | ||
int numberColumns = model.numberColumns(); | ||
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// Alternatively getColSolution() | ||
double * columnPrimal = model.primalColumnSolution(); | ||
// Alternatively getReducedCost() | ||
double * columnDual = model.dualColumnSolution(); | ||
// Alternatively getColLower() | ||
double * columnLower = model.columnLower(); | ||
// Alternatively getColUpper() | ||
double * columnUpper = model.columnUpper(); | ||
// Alternatively getObjCoefficients() | ||
double * columnObjective = model.objective(); | ||
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int iColumn; | ||
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std::cout << " Primal Dual Lower Upper Cost" | ||
<< std::endl; | ||
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for (iColumn = 0; iColumn < numberColumns; iColumn++) { | ||
double value; | ||
std::cout << std::setw(6) << iColumn << " "; | ||
value = columnPrimal[iColumn]; | ||
if (fabs(value) < 1.0e5) | ||
std::cout << std::setiosflags(std::ios::fixed | std::ios::showpoint) << std::setw(14) << value; | ||
else | ||
std::cout << std::setiosflags(std::ios::scientific) << std::setw(14) << value; | ||
value = columnDual[iColumn]; | ||
if (fabs(value) < 1.0e5) | ||
std::cout << std::setiosflags(std::ios::fixed | std::ios::showpoint) << std::setw(14) << value; | ||
else | ||
std::cout << std::setiosflags(std::ios::scientific) << std::setw(14) << value; | ||
value = columnLower[iColumn]; | ||
if (fabs(value) < 1.0e5) | ||
std::cout << std::setiosflags(std::ios::fixed | std::ios::showpoint) << std::setw(14) << value; | ||
else | ||
std::cout << std::setiosflags(std::ios::scientific) << std::setw(14) << value; | ||
value = columnUpper[iColumn]; | ||
if (fabs(value) < 1.0e5) | ||
std::cout << std::setiosflags(std::ios::fixed | std::ios::showpoint) << std::setw(14) << value; | ||
else | ||
std::cout << std::setiosflags(std::ios::scientific) << std::setw(14) << value; | ||
value = columnObjective[iColumn]; | ||
if (fabs(value) < 1.0e5) | ||
std::cout << std::setiosflags(std::ios::fixed | std::ios::showpoint) << std::setw(14) << value; | ||
else | ||
std::cout << std::setiosflags(std::ios::scientific) << std::setw(14) << value; | ||
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std::cout << std::endl; | ||
} | ||
std::cout << "--------------------------------------" << std::endl; | ||
// Test CoinAssert | ||
std::cout << "If Clp compiled without NDEBUG below should give assert, if with NDEBUG or COIN_ASSERT CoinError" << std::endl; | ||
model = modelSave; | ||
model.deleteRows(2, del); | ||
// Deliberate error | ||
model.deleteColumns(1, del + 2); | ||
// Now use build +-1 | ||
CoinBuild buildObject3; | ||
time1 = CoinCpuTime(); | ||
for (k = 0; k < 10000; k++) { | ||
int row2Index[] = {0, 1, 2}; | ||
double row2Value[] = {1.0, -1.0, 1.0}; | ||
buildObject3.addRow(3, row2Index, row2Value, | ||
1.0, 1.0); | ||
} | ||
model.addRows(buildObject3, true); | ||
} catch (CoinError e) { | ||
e.print(); | ||
if (e.lineNumber() >= 0) | ||
std::cout << "This was from a CoinAssert" << std::endl; | ||
} | ||
#else | ||
printf("addRows not available with COIN_BIG_INDEX=2\n"); | ||
#endif | ||
return 0; | ||
} | ||
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