ROL
step/test_16.cpp
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42
49#include "ROL_Stream.hpp"
50#include "Teuchos_GlobalMPISession.hpp"
51#include "Teuchos_XMLParameterListHelpers.hpp"
52
53#include <iostream>
54
55typedef double RealT;
56
57int main(int argc, char *argv[]) {
58
59 Teuchos::GlobalMPISession mpiSession(&argc, &argv);
60
61 // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
62 int iprint = argc - 1;
63 ROL::Ptr<std::ostream> outStream;
64 ROL::nullstream bhs; // outputs nothing
65 if (iprint > 0)
66 outStream = ROL::makePtrFromRef(std::cout);
67 else
68 outStream = ROL::makePtrFromRef(bhs);
69
70 int errorFlag = 0;
71
72 // *** Test body.
73
74 try {
75 std::string filename = "input.xml";
76 auto parlist = ROL::getParametersFromXmlFile( filename );
77
78 // Setup optimization problem
79 ROL::Ptr<ROL::Vector<RealT>> x0;
80 std::vector<ROL::Ptr<ROL::Vector<RealT>>> z;
81 ROL::Ptr<ROL::OptimizationProblem<RealT>> optProblem;
82 //ROL::GetTestProblem<RealT>(optProblem,x0,z,ROL::TESTOPTPROBLEM_CANTILEVERBEAM);
83 //ROL::GetTestProblem<RealT>(optProblem,x0,z,ROL::TESTOPTPROBLEM_CYLINDERHEAD);
84 //ROL::GetTestProblem<RealT>(optProblem,x0,z,ROL::TESTOPTPROBLEM_QUARTIC);
85 ROL::GetTestProblem<RealT>(optProblem,x0,z,ROL::TESTOPTPROBLEM_CANTILEVER);
86
87 // Get Dimension of Problem
88 int dim = x0->dimension();
89 parlist->sublist("General").sublist("Krylov").set("Iteration Limit", 2*dim);
90
91 // Check Derivatives
92 optProblem->check(*outStream);
93
94 // Error Vector
95// ROL::Ptr<ROL::Vector<RealT>> e = x0->clone();
96// e->zero();
97
98 // Setup optimization solver
99 parlist->sublist("Status Test").set("Gradient Tolerance",static_cast<RealT>(1e-6));
100 parlist->sublist("Step").set("Type", "Augmented Lagrangian");
101 ROL::OptimizationSolver<RealT> optSolver(*optProblem,*parlist);
102 optSolver.solve(*outStream);
103
104 // Compute Error
105// RealT err(0);
106// for (int i = 0; i < static_cast<int>(z.size()); ++i) {
107// e->set(*x0);
108// e->axpy(-1.0,*z[i]);
109// if (i == 0) {
110// err = e->norm();
111// }
112// else {
113// err = std::min(err,e->norm());
114// }
115// }
116// *outStream << std::endl << "Norm of Error: " << err << std::endl;
117//
118// RealT tol = static_cast<RealT>(1e-3)*std::max(z[0]->norm(),static_cast<RealT>(1));
119// errorFlag += ((err < tol) ? 0 : 1);
120 }
121 catch (std::logic_error& err) {
122 *outStream << err.what() << std::endl;
123 errorFlag = -1000;
124 }; // end try
125
126 if (errorFlag != 0)
127 std::cout << "End Result: TEST FAILED" << std::endl;
128 else
129 std::cout << "End Result: TEST PASSED" << std::endl;
130
131 return 0;
132
133}
134
Contains definitions of test objective functions.
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Provides a simplified interface for solving a wide range of optimization problems.
int solve(const ROL::Ptr< StatusTest< Real > > &status=ROL::nullPtr, const bool combineStatus=true)
Solve optimization problem with no iteration output.
@ TESTOPTPROBLEM_CANTILEVER
int main(int argc, char *argv[])
double RealT
constexpr auto dim