ROL
example_01b.cpp
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43
52#include <iostream>
53
54#include "ROL_Algorithm.hpp"
56#include "ROL_StatusTest.hpp"
57#include "ROL_ParameterList.hpp"
58
59#include "ROL_Stream.hpp"
60#include "Teuchos_GlobalMPISession.hpp"
61
62#include "example_01b.hpp"
63
64using namespace ROL;
65
66typedef double RealT;
67
68int main(int argc, char **argv)
69{
70 Teuchos::GlobalMPISession mpiSession(&argc, &argv);
71
72 // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
73 int iprint = argc - 1;
74 ROL::Ptr<std::ostream> outStream;
75 ROL::nullstream bhs; // outputs nothing
76 if (iprint > 0)
77 outStream = ROL::makePtrFromRef(std::cout);
78 else
79 outStream = ROL::makePtrFromRef(bhs);
80
81 int errorFlag = 0;
82
83 // *** Example body.
84
85 try {
86
88
89 int dim = 10; // Set problem dimension.
90
91 // Load optimizer parameters form XML file
92 std::string paramfile = "parameters.xml";
93 auto parlist = ROL::getParametersFromXmlFile(paramfile);
94
95 // Define algorithm.
96 ROL::Ptr<ROL::Step<RealT>>
97 step = ROL::makePtr<ROL::LineSearchStep<RealT>>(*parlist);
98 ROL::Ptr<ROL::StatusTest<RealT>>
99 status = ROL::makePtr<ROL::StatusTest<RealT>>(*parlist);
100 ROL::Algorithm<RealT> algo(step,status,false);
101
102 // Iteration Vector
103 ROL::Ptr<std::vector<RealT> > x_ptr = ROL::makePtr<std::vector<RealT>>(dim, 0.0);
104 // Set Initial Guess
105 for (int i=0; i<dim; i++) {
106 (*x_ptr)[i] = 2;
107 }
108
109 StdVector<RealT> x(x_ptr);
110
111 // Run Algorithm
112 algo.run(x, obj, true, *outStream);
113
114 // Get True Solution
115 ROL::Ptr<std::vector<RealT> > xtrue_ptr = ROL::makePtr<std::vector<RealT>>(dim, 0.0);
116 StdVector<RealT> xtrue(xtrue_ptr);
117
118
119 // Compute Error
120 x.axpy(-1.0, xtrue);
121 RealT abserr = x.norm();
122 *outStream << std::scientific << "\n Absolute Error: " << abserr;
123 if ( abserr > sqrt(ROL_EPSILON<RealT>()) ) {
124 errorFlag += 1;
125 }
126 }
127 catch (std::logic_error& err) {
128 *outStream << err.what() << "\n";
129 errorFlag = -1000;
130 }; // end try
131
132 if (errorFlag != 0)
133 std::cout << "End Result: TEST FAILED\n";
134 else
135 std::cout << "End Result: TEST PASSED\n";
136
137 return 0;
138
139}
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Provides an interface to run optimization algorithms.
virtual std::vector< std::string > run(Vector< Real > &x, Objective< Real > &obj, bool print=false, std::ostream &outStream=std::cout, bool printVectors=false, std::ostream &vectorStream=std::cout)
Run algorithm on unconstrained problems (Type-U). This is the primary Type-U interface.
Provides the ROL::Vector interface for scalar values, to be used, for example, with scalar constraint...
void axpy(const Real alpha, const Vector< Real > &x)
Compute where .
Real norm() const
Returns where .
int main(int argc, char **argv)
Definition: example_01b.cpp:68
double RealT
Definition: example_01b.cpp:66
constexpr auto dim