ROL
test_15.cpp
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43 
48 #define USE_HESSVEC 1
49 
50 #include "ROL_GetTestProblems.hpp"
52 #include "ROL_Stream.hpp"
53 #include "Teuchos_GlobalMPISession.hpp"
54 
55 #include <iostream>
56 //#include <fenv.h>
57 
58 typedef double RealT;
59 
60 int main(int argc, char *argv[]) {
61 // feenableexcept(FE_DIVBYZERO | FE_INVALID | FE_OVERFLOW);
62 
63  Teuchos::GlobalMPISession mpiSession(&argc, &argv);
64 
65  // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
66  int iprint = argc - 1;
67  ROL::Ptr<std::ostream> outStream;
68  ROL::nullstream bhs; // outputs nothing
69  if (iprint > 0)
70  outStream = ROL::makePtrFromRef(std::cout);
71  else
72  outStream = ROL::makePtrFromRef(bhs);
73 
74  int errorFlag = 0;
75 
76  // *** Test body.
77 
78  try {
79 
80  std::string filename = "input.xml";
81  auto parlist = ROL::getParametersFromXmlFile( filename );
82  parlist->sublist("General").set("Inexact Hessian-Times-A-Vector",true);
83 #if USE_HESSVEC
84  parlist->sublist("General").set("Inexact Hessian-Times-A-Vector",false);
85 #endif
86  parlist->sublist("Step").set("Type","Trust Region");
87 
89  // Get Objective Function
90  ROL::Ptr<ROL::Vector<RealT> > x0;
91  std::vector<ROL::Ptr<ROL::Vector<RealT> > > z;
92  ROL::Ptr<ROL::OptimizationProblem<RealT> > problem;
93  ROL::GetTestProblem<RealT>(problem,x0,z,prob);
94  if (problem->getProblemType() == ROL::TYPE_B) {
95  if ( prob == ROL::TESTOPTPROBLEM_HS2 || prob == ROL::TESTOPTPROBLEM_BVP ) {
96  parlist->sublist("Step").sublist("Line Search").set("Initial Step Size",1.e-4);
97  parlist->sublist("Step").sublist("Trust Region").set("Initial Radius",-1.e1);
98  parlist->sublist("Step").sublist("Trust Region").set("Safeguard Size",1.e-4);
99  parlist->sublist("Status Test").set("Gradient Tolerance",1.e-6);
100  }
101  else if ( prob == ROL::TESTOPTPROBLEM_HS25 ) {
102  parlist->sublist("Step").sublist("Line Search").set("Initial Step Size",1.0);
103  parlist->sublist("Step").sublist("Trust Region").set("Initial Radius",1.e3);
104  parlist->sublist("Step").sublist("Trust Region").set("Safeguard Size",1.e4);
105  parlist->sublist("Status Test").set("Gradient Tolerance",1.e-8);
106  }
107  else {
108  parlist->sublist("Step").sublist("Line Search").set("Initial Step Size",1.0);
109  parlist->sublist("Step").sublist("Trust Region").set("Initial Radius",-1.e1);
110  parlist->sublist("Step").sublist("Trust Region").set("Safeguard Size",1.e4);
111  parlist->sublist("Status Test").set("Gradient Tolerance",1.e-6);
112  }
113  parlist->sublist("General").set("Scale for Epsilon Active Sets",1.0);
114  if ( prob == ROL::TESTOPTPROBLEM_HS4 ) {
115  parlist->sublist("General").set("Scale for Epsilon Active Sets",1.e-2);
116  }
117  *outStream << std::endl << std::endl << ROL:: ETestOptProblemToString(prob) << std::endl << std::endl;
118 
119  // Get Dimension of Problem
120  int dim = x0->dimension();
121  parlist->sublist("General").sublist("Krylov").set("Iteration Limit", 2*dim);
122 
123  // Error Vector
124  ROL::Ptr<ROL::Vector<RealT> > e = x0->clone();
125  e->zero();
126 
127  parlist->sublist("Step").sublist("Trust Region").set("Subproblem Solver", "Lin-More");
128  parlist->sublist("Step").sublist("Trust Region").set("Subproblem Model", "Lin-More");
129  *outStream << std::endl << std::endl << "Lin-More" << std::endl << std::endl;
130 
131  // Define Solver
132  ROL::OptimizationSolver<RealT> solver(*problem,*parlist);
133 
134  // Run Solver
135  solver.solve(*outStream);
136 
137  // Compute Error
138  RealT err(0);
139  for (int i = 0; i < static_cast<int>(z.size()); ++i) {
140  e->set(*x0);
141  e->axpy(-1.0,*z[i]);
142  if (i == 0) {
143  err = e->norm();
144  }
145  else {
146  err = std::min(err,e->norm());
147  }
148  }
149  *outStream << std::endl << "Norm of Error: " << err << std::endl;
150  }
151  }
152  }
153  catch (std::logic_error err) {
154  *outStream << err.what() << std::endl;
155  errorFlag = -1000;
156  }; // end try
157 
158  if (errorFlag != 0)
159  std::cout << "End Result: TEST FAILED" << std::endl;
160  else
161  std::cout << "End Result: TEST PASSED" << std::endl;
162 
163  return 0;
164 
165 }
166 
ETestOptProblem
Enumeration of test optimization problems.
Contains definitions of test objective functions.
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
std::string ETestOptProblemToString(ETestOptProblem to)
Provides a simplified interface for solving a wide range of optimization problems.
basic_nullstream< char, char_traits< char >> nullstream
Definition: ROL_Stream.hpp:72
int main(int argc, char *argv[])
int solve(const ROL::Ptr< StatusTest< Real > > &status=ROL::nullPtr, const bool combineStatus=true)
Solve optimization problem with no iteration output.