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 #include "ROL_ParameterList.hpp"
58 
59 #include "ROL_Stream.hpp"
60 #include "Teuchos_GlobalMPISession.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  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  Algorithm<RealT> algo("Line Search",*parlist);
97 
98  // Iteration Vector
99  ROL::Ptr<std::vector<RealT> > x_ptr = ROL::makePtr<std::vector<RealT>>(dim, 0.0);
100  // Set Initial Guess
101  for (int i=0; i<dim; i++) {
102  (*x_ptr)[i] = 2;
103  }
104 
105  StdVector<RealT> x(x_ptr);
106 
107  // Run Algorithm
108  algo.run(x, obj, true, *outStream);
109 
110  // Get True Solution
111  ROL::Ptr<std::vector<RealT> > xtrue_ptr = ROL::makePtr<std::vector<RealT>>(dim, 0.0);
112  StdVector<RealT> xtrue(xtrue_ptr);
113 
114 
115  // Compute Error
116  x.axpy(-1.0, xtrue);
117  RealT abserr = x.norm();
118  *outStream << std::scientific << "\n Absolute Error: " << abserr;
119  if ( abserr > sqrt(ROL_EPSILON<RealT>()) ) {
120  errorFlag += 1;
121  }
122  }
123  catch (std::logic_error err) {
124  *outStream << err.what() << "\n";
125  errorFlag = -1000;
126  }; // end try
127 
128  if (errorFlag != 0)
129  std::cout << "End Result: TEST FAILED\n";
130  else
131  std::cout << "End Result: TEST PASSED\n";
132 
133  return 0;
134 
135 }
void axpy(const Real alpha, const Vector< Real > &x)
Compute where .
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.
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Real norm() const
Returns where .
Provides the ROL::Vector interface for scalar values, to be used, for example, with scalar constraint...
Provides an interface to run optimization algorithms.
basic_nullstream< char, char_traits< char >> nullstream
Definition: ROL_Stream.hpp:72
int main(int argc, char *argv[])