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src/main.cpp
12
src/main.cpp
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@ -65,12 +65,12 @@ int main(int argc, char *argv[]) {
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ReducedModelOptimizer optimizer(numberOfNodesPerSlot);
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ReducedModelOptimizer optimizer(numberOfNodesPerSlot);
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FlatPattern pattern("/home/iason/Models/TestSet_validPatterns/59.ply");
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// FlatPattern pattern("/home/iason/Models/TestSet_validPatterns/59.ply");
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optimizer.initialize(pattern, *reducedModels[1], {});
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// optimizer.initialize(pattern, *reducedModels[1], {});
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// optimizer.setInitialGuess({0.10073746137216238, 1.9611251949927333,
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// optimizer.setInitialGuess
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// 7.5940127902102867, 8.0260424171674654});
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// ({0.050000000000000003, 4.0001308096448325, 4.2377893536538567,
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optimizer.setInitialGuess({2, 2, 2, 2, 2});
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// 5.6122373437520334});
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Eigen::VectorXd optimalParameters = optimizer.optimize(3);
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// Eigen::VectorXd optimalParameters = optimizer.optimize(0);
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std::string fullPatternsTestSetDirectory =
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std::string fullPatternsTestSetDirectory =
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"/home/iason/Models/TestSet_validPatterns";
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"/home/iason/Models/TestSet_validPatterns";
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@ -282,8 +282,8 @@ void ReducedModelOptimizer::computeMaps(
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void ReducedModelOptimizer::createSimulationMeshes(FlatPattern &fullModel,
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void ReducedModelOptimizer::createSimulationMeshes(FlatPattern &fullModel,
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FlatPattern &reducedModel) {
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FlatPattern &reducedModel) {
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if (typeid(CrossSectionType) != typeid(RectangularBeamDimensions)) {
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if (typeid(CrossSectionType) != typeid(RectangularBeamDimensions)) {
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std::cerr << "A rectangular cross section is expected." << std::endl;
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std::cerr << "Error: A rectangular cross section is expected." << std::endl;
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return;
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terminate();
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}
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}
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m_pReducedPatternSimulationMesh =
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m_pReducedPatternSimulationMesh =
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std::make_shared<SimulationMesh>(reducedModel);
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std::make_shared<SimulationMesh>(reducedModel);
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@ -442,7 +442,7 @@ Eigen::VectorXd ReducedModelOptimizer::optimizeForSimulationJob(
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"conditions is not recommended.");
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"conditions is not recommended.");
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// Set initial guess of solution
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// Set initial guess of solution
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std::vector<double> x(n, 2);
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std::vector<double> x(n, 4);
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if (!initialGuess.empty()) {
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if (!initialGuess.empty()) {
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x = initialGuess;
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x = initialGuess;
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} // {0.10000000000000 001, 2, 1.9999999971613847, 6.9560343643347764};
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} // {0.10000000000000 001, 2, 1.9999999971613847, 6.9560343643347764};
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@ -450,7 +450,7 @@ Eigen::VectorXd ReducedModelOptimizer::optimizeForSimulationJob(
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// {0.0001, 2, 2.000000005047502, 1.3055270196964464};
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// {0.0001, 2, 2.000000005047502, 1.3055270196964464};
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// {initialGuess(0), initialGuess(1), initialGuess(2),
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// {initialGuess(0), initialGuess(1), initialGuess(2),
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// initialGuess(3)};
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// initialGuess(3)};
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const double xMin = 0.05;
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const double xMin = 0.12;
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const double xMax = 10;
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const double xMax = 10;
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// assert(x.end() == find_if(x.begin(), x.end(), [&](const double &d) {
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// assert(x.end() == find_if(x.begin(), x.end(), [&](const double &d) {
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// return d >= xMax || d <= xMin;
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// return d >= xMax || d <= xMin;
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