ROL
test_16.cpp
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42 
47 #include "ROL_GetTestProblems.hpp"
49 #include "ROL_Stream.hpp"
50 #include "Teuchos_GlobalMPISession.hpp"
51 #include "Teuchos_XMLParameterListHelpers.hpp"
52 
53 #include <iostream>
54 
55 typedef double RealT;
56 
57 int main(int argc, char *argv[]) {
58 
59  Teuchos::GlobalMPISession mpiSession(&argc, &argv);
60 
61  // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
62  int iprint = argc - 1;
63  ROL::Ptr<std::ostream> outStream;
64  ROL::nullstream bhs; // outputs nothing
65  if (iprint > 0)
66  outStream = ROL::makePtrFromRef(std::cout);
67  else
68  outStream = ROL::makePtrFromRef(bhs);
69 
70  int errorFlag = 0;
71 
72  // *** Test body.
73 
74  try {
75  std::string filename = "input.xml";
76  auto parlist = ROL::getParametersFromXmlFile( filename );
77 
78  // Setup optimization problem
79  ROL::Ptr<ROL::Vector<RealT>> x0;
80  std::vector<ROL::Ptr<ROL::Vector<RealT>>> z;
81  ROL::Ptr<ROL::OptimizationProblem<RealT>> optProblem;
82  ROL::GetTestProblem<RealT>(optProblem,x0,z,ROL::TESTOPTPROBLEM_CANTILEVERBEAM);
83 
84  // Get Dimension of Problem
85  int dim = x0->dimension();
86  parlist->sublist("General").sublist("Krylov").set("Iteration Limit", 2*dim);
87 
88  // Check Derivatives
89  optProblem->check(*outStream);
90 
91  // Error Vector
92 // ROL::Ptr<ROL::Vector<RealT>> e = x0->clone();
93 // e->zero();
94 
95  // Setup optimization solver
96  parlist->sublist("Status Test").set("Gradient Tolerance",static_cast<RealT>(1e-6));
97  parlist->sublist("Step").set("Type", "Augmented Lagrangian");
98  ROL::OptimizationSolver<RealT> optSolver(*optProblem,*parlist);
99  optSolver.solve(*outStream);
100 
101  // Compute Error
102 // RealT err(0);
103 // for (int i = 0; i < static_cast<int>(z.size()); ++i) {
104 // e->set(*x0);
105 // e->axpy(-1.0,*z[i]);
106 // if (i == 0) {
107 // err = e->norm();
108 // }
109 // else {
110 // err = std::min(err,e->norm());
111 // }
112 // }
113 // *outStream << std::endl << "Norm of Error: " << err << std::endl;
114 //
115 // RealT tol = static_cast<RealT>(1e-3)*std::max(z[0]->norm(),static_cast<RealT>(1));
116 // errorFlag += ((err < tol) ? 0 : 1);
117  }
118  catch (std::logic_error err) {
119  *outStream << err.what() << std::endl;
120  errorFlag = -1000;
121  }; // end try
122 
123  if (errorFlag != 0)
124  std::cout << "End Result: TEST FAILED" << std::endl;
125  else
126  std::cout << "End Result: TEST PASSED" << std::endl;
127 
128  return 0;
129 
130 }
131 
basic_nullstream< char, char_traits< char > > nullstream
Definition: ROL_Stream.hpp:72
Contains definitions of test objective functions.
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
int main(int argc, char *argv[])
Definition: test_16.cpp:57
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.
double RealT
Definition: test_16.cpp:55