ROL
step/test_14.cpp
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1 // @HEADER
2 // *****************************************************************************
3 // Rapid Optimization Library (ROL) Package
4 //
5 // Copyright 2014 NTESS and the ROL contributors.
6 // SPDX-License-Identifier: BSD-3-Clause
7 // *****************************************************************************
8 // @HEADER
9 
14 #include "ROL_GetTestProblems.hpp"
16 #include "ROL_Stream.hpp"
17 #include "Teuchos_GlobalMPISession.hpp"
18 
19 
20 #include <iostream>
21 
22 typedef double RealT;
23 
24 int main(int argc, char *argv[]) {
25 
26  Teuchos::GlobalMPISession mpiSession(&argc, &argv);
27 
28  // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
29  int iprint = argc - 1;
30  ROL::Ptr<std::ostream> outStream;
31  ROL::nullstream bhs; // outputs nothing
32  if (iprint > 0)
33  outStream = ROL::makePtrFromRef(std::cout);
34  else
35  outStream = ROL::makePtrFromRef(bhs);
36 
37  int errorFlag = 0;
38 
39  // *** Test body.
40 
41  try {
42  std::string filename = "input.xml";
43 
44  auto parlist = ROL::getParametersFromXmlFile( filename );
45 
46  // Setup optimization problem
47  ROL::Ptr<ROL::Vector<RealT> > x0;
48  std::vector<ROL::Ptr<ROL::Vector<RealT> > > z;
49  ROL::Ptr<ROL::OptimizationProblem<RealT> > optProblem;
50  ROL::Ptr<ROL::BoundConstraint<RealT> > bnd;
51  ROL::GetTestProblem<RealT>(optProblem,x0,z,ROL::TESTOPTPROBLEM_HS1);
52 
53  // Get Dimension of Problem
54  int dim = x0->dimension();
55  parlist->sublist("General").sublist("Krylov").set("Iteration Limit", 2*dim);
56 
57  // Check Derivatives
58  optProblem->check(*outStream);
59 
60  // Error Vector
61  ROL::Ptr<ROL::Vector<RealT> > e = x0->clone();
62  e->zero();
63 
64  // Setup optimization solver
65  parlist->sublist("Status Test").set("Gradient Tolerance",static_cast<RealT>(1e-6));
66  parlist->sublist("Step").set("Type", "Moreau-Yosida Penalty");
67  ROL::OptimizationSolver<RealT> optSolver(*optProblem,*parlist);
68  optSolver.solve(*outStream);
69 
70  // Compute Error
71  RealT err(0);
72  for (int i = 0; i < static_cast<int>(z.size()); ++i) {
73  e->set(*x0);
74  e->axpy(-1.0,*z[i]);
75  if (i == 0) {
76  err = e->norm();
77  }
78  else {
79  err = std::min(err,e->norm());
80  }
81  }
82  *outStream << std::endl << "Norm of Error: " << err << std::endl;
83 
84  RealT tol = static_cast<RealT>(1e-3)*std::max(z[0]->norm(),static_cast<RealT>(1));
85  errorFlag += ((err < tol) ? 0 : 1);
86  }
87  catch (std::logic_error& err) {
88  *outStream << err.what() << std::endl;
89  errorFlag = -1000;
90  }; // end try
91 
92  if (errorFlag != 0)
93  std::cout << "End Result: TEST FAILED" << std::endl;
94  else
95  std::cout << "End Result: TEST PASSED" << std::endl;
96 
97  return 0;
98 
99 }
Contains definitions of test objective functions.
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Provides a simplified interface for solving a wide range of optimization problems.
basic_nullstream< char, char_traits< char >> nullstream
Definition: ROL_Stream.hpp:38
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.
constexpr auto dim