ROL
example_01b.cpp
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43 
52 #include <iostream>
53 
54 #include "ROL_Algorithm.hpp"
55 #include "ROL_LineSearchStep.hpp"
56 #include "ROL_StatusTest.hpp"
57 
58 #include "Teuchos_oblackholestream.hpp"
59 #include "Teuchos_GlobalMPISession.hpp"
60 #include "Teuchos_XMLParameterListHelpers.hpp"
61 
62 #include "example_01b.hpp"
63 
64 using namespace ROL;
65 
66 typedef double RealT;
67 
68 int 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  Teuchos::RCP<std::ostream> outStream;
75  Teuchos::oblackholestream bhs; // outputs nothing
76  if (iprint > 0)
77  outStream = Teuchos::rcp(&std::cout, false);
78  else
79  outStream = Teuchos::rcp(&bhs, false);
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  Teuchos::RCP<Teuchos::ParameterList> parlist = Teuchos::rcp(new Teuchos::ParameterList());
93  std::string paramfile = "parameters.xml";
94  Teuchos::updateParametersFromXmlFile(paramfile,parlist.ptr());
95 
96  // Define algorithm.
97  Algorithm<RealT> algo("Line Search",*parlist);
98 
99  // Iteration Vector
100  Teuchos::RCP<std::vector<RealT> > x_rcp = Teuchos::rcp( new std::vector<RealT> (dim, 0.0) );
101  // Set Initial Guess
102  for (int i=0; i<dim; i++) {
103  (*x_rcp)[i] = 2;
104  }
105 
106  StdVector<RealT> x(x_rcp);
107 
108  // Run Algorithm
109  algo.run(x, obj, true, *outStream);
110 
111  // Get True Solution
112  Teuchos::RCP<std::vector<RealT> > xtrue_rcp = Teuchos::rcp( new std::vector<RealT> (dim, 0.0) );
113  StdVector<RealT> xtrue(xtrue_rcp);
114 
115 
116  // Compute Error
117  x.axpy(-1.0, xtrue);
118  RealT abserr = x.norm();
119  *outStream << std::scientific << "\n Absolute Error: " << abserr;
120  if ( abserr > sqrt(ROL_EPSILON) ) {
121  errorFlag += 1;
122  }
123  }
124  catch (std::logic_error err) {
125  *outStream << err.what() << "\n";
126  errorFlag = -1000;
127  }; // end try
128 
129  if (errorFlag != 0)
130  std::cout << "End Result: TEST FAILED\n";
131  else
132  std::cout << "End Result: TEST PASSED\n";
133 
134  return 0;
135 
136 }
void axpy(const Real alpha, const Vector< Real > &x)
Compute where .
double RealT
Definition: example_01b.cpp:66
Real norm() const
Returns where .
Provides the std::vector implementation of the ROL::Vector interface.
Provides an interface to run optimization algorithms.
double RealT
int main(int argc, char **argv)
Definition: example_01b.cpp:68
static const double ROL_EPSILON
Platform-dependent machine epsilon.
Definition: ROL_Types.hpp:118