ROL
step/test_03.cpp
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43
48#define USE_HESSVEC 1
49
52#include "ROL_Stream.hpp"
53#include "Teuchos_GlobalMPISession.hpp"
54
55
56#include <iostream>
57
58typedef double RealT;
59
60int main(int argc, char *argv[]) {
61
62 Teuchos::GlobalMPISession mpiSession(&argc, &argv);
63
64 // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
65 int iprint = argc - 1;
66 ROL::Ptr<std::ostream> outStream;
67 ROL::nullstream bhs; // outputs nothing
68 if (iprint > 0)
69 outStream = ROL::makePtrFromRef(std::cout);
70 else
71 outStream = ROL::makePtrFromRef(bhs);
72
73 int errorFlag = 0;
74
75 // *** Test body.
76
77 try {
78
79 std::string filename = "input.xml";
80
81 auto parlist = ROL::getParametersFromXmlFile( filename );
82 parlist->sublist("General").set("Inexact Hessian-Times-A-Vector",true);
83#if USE_HESSVEC
84 parlist->sublist("General").set("Inexact Hessian-Times-A-Vector",false);
85#endif
86 parlist->sublist("Step").set("Type","Line Search");
87
89 // Get Objective Function
90 ROL::Ptr<ROL::Vector<RealT> > x0;
91 std::vector<ROL::Ptr<ROL::Vector<RealT> > > z;
92 ROL::Ptr<ROL::OptimizationProblem<RealT> > problem;
93 ROL::GetTestProblem<RealT>(problem,x0,z,prob);
94
95 if (problem->getProblemType() == ROL::TYPE_B) {
96 *outStream << "\n\n" << ROL:: ETestOptProblemToString(prob) << "\n\n";
97
98 // Get Dimension of Problem
99 int dim = x0->dimension();
100 parlist->sublist("General").sublist("Krylov").set("Iteration Limit", 2*dim);
101
102 // Check Derivatives
103 problem->check(*outStream);
104
105 // Error Vector
106 ROL::Ptr<ROL::Vector<RealT> > e = x0->clone();
107 e->zero();
108
109 //ROL::EDescent desc = ROL::DESCENT_STEEPEST;
111 parlist->sublist("Step").sublist("Line Search").sublist("Descent Method").set("Type", ROL::EDescentToString(desc));
112 *outStream << std::endl << std::endl << ROL::EDescentToString(desc) << std::endl << std::endl;
113
114 // Define Solver
115 ROL::OptimizationSolver<RealT> solver(*problem,*parlist);
116
117 // Run Solver
118 solver.solve(*outStream);
119
120 // Compute Error
121 RealT err(0);
122 for (int i = 0; i < static_cast<int>(z.size()); ++i) {
123 e->set(*x0);
124 e->axpy(-1.0,*z[i]);
125 if (i == 0) {
126 err = e->norm();
127 }
128 else {
129 err = std::min(err,e->norm());
130 }
131 }
132 *outStream << std::endl << "Norm of Error: " << err << std::endl;
133 }
134 }
135 }
136 catch (std::logic_error& err) {
137 *outStream << err.what() << std::endl;
138 errorFlag = -1000;
139 }; // end try
140
141 if (errorFlag != 0)
142 std::cout << "End Result: TEST FAILED" << std::endl;
143 else
144 std::cout << "End Result: TEST PASSED" << std::endl;
145
146 return 0;
147
148}
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.
std::string ETestOptProblemToString(ETestOptProblem to)
@ TESTOPTPROBLEM_ROSENBROCK
@ DESCENT_NEWTONKRYLOV
std::string EDescentToString(EDescent tr)
@ TYPE_B
int main(int argc, char *argv[])
double RealT
constexpr auto dim