ROL
step/fletcher/test_03.cpp
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43
47#define USE_HESSVEC 1
48
51#include "ROL_Stream.hpp"
52#include "Teuchos_GlobalMPISession.hpp"
53
54
55#include <iostream>
56
57typedef double RealT;
58
59int main(int argc, char *argv[]) {
60
61 Teuchos::GlobalMPISession mpiSession(&argc, &argv);
62
63 // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
64 int iprint = argc - 1;
65 ROL::Ptr<std::ostream> outStream;
66 ROL::nullstream bhs; // outputs nothing
67 if (iprint > 0)
68 outStream = ROL::makePtrFromRef(std::cout);
69 else
70 outStream = ROL::makePtrFromRef(bhs);
71
72 int errorFlag = 0;
73
74 // *** Test body.
75
76 try {
77
78 std::string filename = "input_ex03.xml";
79
80 auto parlist = ROL::getParametersFromXmlFile( filename );
81 parlist->sublist("General").set("Inexact Hessian-Times-A-Vector",true);
82#if USE_HESSVEC
83 parlist->sublist("General").set("Inexact Hessian-Times-A-Vector",false);
84#endif
85
86 // Krylov parameters.
87 parlist->sublist("Step").set("Type","Fletcher");
88
91 // Get Objective Function
92 ROL::Ptr<ROL::Vector<RealT> > x0;
93 std::vector<ROL::Ptr<ROL::Vector<RealT> > > z;
94 ROL::Ptr<ROL::OptimizationProblem<RealT> > problem;
95 ROL::GetTestProblem<RealT>(problem,x0,z,prob);
96
97 if ((problem->getProblemType() == ROL::TYPE_E || problem->getProblemType() == ROL::TYPE_EB)
99 *outStream << std::endl << std::endl << ROL:: ETestOptProblemToString(prob) << std::endl << std::endl;
100
101 // Get Dimension of Problem
102 // int dim = x0->dimension();
103 // parlist->sublist("General").sublist("Krylov").set("Iteration Limit", 2*dim);
104
105 // Error Vector
106 ROL::Ptr<ROL::Vector<RealT> > e = x0->clone();
107 e->zero();
108
109 // Define Solver
110 ROL::OptimizationSolver<RealT> solver(*problem,*parlist);
111
112 // Run Solver
113 solver.solve(*outStream);
114
115 // Compute Error
116 RealT err(0);
117 for (int i = 0; i < static_cast<int>(z.size()); ++i) {
118 e->set(*x0);
119//std::cout << "\n\n e dim =" << e->dimension() << " z[i] dim =" << z[i]->dimension() << "\n\n";
120 e->axpy(-1.0,*z[i]);
121 if (i == 0) {
122 err = e->norm();
123 }
124 else {
125 err = std::min(err,e->norm());
126 }
127 }
128 *outStream << std::endl << "Norm of Error: " << err << std::endl;
129
130 // Update error flag
131 ROL::Ptr<const ROL::AlgorithmState<RealT> > state = solver.getAlgorithmState();
132 errorFlag += ((err < std::max(1.e-6*z[0]->norm(),1.e-8) || (state->gnorm < 1.e-6)) ? 0 : 1);
133 }
134 }
135 }
136 }
137 catch (std::logic_error& err) {
138 *outStream << err.what() << std::endl;
139 errorFlag = -1000;
140 }; // end try
141
142 if (errorFlag != 0)
143 std::cout << "End Result: TEST FAILED" << std::endl;
144 else
145 std::cout << "End Result: TEST PASSED" << std::endl;
146
147 return 0;
148
149}
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.
ROL::Ptr< const AlgorithmState< Real > > getAlgorithmState(void) const
Return the AlgorithmState.
int solve(const ROL::Ptr< StatusTest< Real > > &status=ROL::nullPtr, const bool combineStatus=true)
Solve optimization problem with no iteration output.
std::string ETestOptProblemToString(ETestOptProblem to)
@ TESTOPTPROBLEM_ROSENBROCK
@ TESTOPTPROBLEM_CANTILEVERBEAM
@ TESTOPTPROBLEM_CYLINDERHEAD
@ TESTOPTPROBLEM_CANTILEVER
@ TESTOPTPROBLEM_QUARTIC
@ TYPE_E
Definition: ROL_Types.hpp:260
@ TYPE_EB
Definition: ROL_Types.hpp:261
int main(int argc, char *argv[])
double RealT