ROL
step/fletcher/test_01.cpp
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52#include "ROL_Fletcher.hpp"
53
54#include "ROL_Stream.hpp"
55#include "Teuchos_GlobalMPISession.hpp"
56
57
58#include <iostream>
59
60typedef double RealT;
61
62int main(int argc, char *argv[]) {
63
64 Teuchos::GlobalMPISession mpiSession(&argc, &argv);
65
66 std::string filename = "input.xml";
67
68 auto parlist = ROL::getParametersFromXmlFile( filename );
69
71 using V = ROL::Vector<RealT>;
72
73 // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
74 int iprint = argc - 1;
75 ROL::Ptr<std::ostream> outStream;
76 ROL::nullstream bhs; // outputs nothing
77 if (iprint > 0)
78 outStream = ROL::makePtrFromRef(std::cout);
79 else
80 outStream = ROL::makePtrFromRef(bhs);
81
82 // Save the format state of the original std::cout.
83 ROL::nullstream oldFormatState;
84 oldFormatState.copyfmt(std::cout);
85
86 int errorFlag = 0;
87
88 // *** Test body.
89
90 try {
91
92 // Set up optimization problem
93 ROL::Ptr<V> x;
94 std::vector<ROL::Ptr<V> > sol;
95 ROL::Ptr<Opt> optProb;
97 SEC.get( optProb, x, sol );
98 ROL::Ptr<V> error = x->clone();
99
100 // Solve optimization problem
101 ROL::OptimizationSolver<RealT> optSolver(*optProb, *parlist);
102 optSolver.solve(*outStream);
103
104 error->set(*sol[0]);
105 error->axpy(static_cast<RealT>(-1), *x);
106 RealT solnErr = error->norm();
107
108 *outStream << "Distance from true solution: " << solnErr << "\n";
109
110 errorFlag += (solnErr < static_cast<RealT>(1e-6)) ? 0 : 1;
111 }
112 catch (std::logic_error& err) {
113 *outStream << err.what() << "\n";
114 errorFlag = -1000;
115 }; // end try
116
117 if (errorFlag != 0)
118 std::cout << "End Result: TEST FAILED\n";
119 else
120 std::cout << "End Result: TEST PASSED\n";
121
122 // reset format state of std::cout
123 std::cout.copyfmt(oldFormatState);
124
125 return 0;
126}
Contains definitions for the equality constrained NLP from Nocedal/Wright, 2nd edition,...
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.
void get(Ptr< OptimizationProblem< Real > > &problem, Ptr< Vector< Real > > &x0, std::vector< Ptr< Vector< Real > > > &x) const
Defines the linear algebra or vector space interface.
Definition: ROL_Vector.hpp:84
int main(int argc, char *argv[])
double RealT