ROL
vector/test_06.cpp
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43 
48 #include "ROL_ProfiledVector.hpp"
49 #include "ROL_StdVector.hpp"
50 #include "ROL_Zakharov.hpp"
51 #include "ROL_Algorithm.hpp"
52 
53 
54 #include "Teuchos_XMLParameterListHelpers.hpp"
55 #include "Teuchos_oblackholestream.hpp"
56 #include "Teuchos_GlobalMPISession.hpp"
57 
58 typedef int OrdinalT;
59 typedef double RealT;
60 
61 template<>
64 
65 int main(int argc, char *argv[]) {
66 
67  using Teuchos::RCP; using Teuchos::rcp;
68  using Teuchos::ParameterList;
69 
70  typedef std::vector<RealT> vector;
71 
72  typedef ROL::Vector<RealT> V;
73  typedef ROL::StdVector<RealT> SV;
74 
75  Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
76 
77  int iprint = argc - 1;
78  Teuchos::RCP<std::ostream> outStream;
79  Teuchos::oblackholestream bhs; // outputs nothing
80  if (iprint > 0)
81  outStream = Teuchos::rcp(&std::cout, false);
82  else
83  outStream = Teuchos::rcp(&bhs, false);
84 
85  int errorFlag = 0;
86 
87  try {
88  // Dimension of the optimization vector
89  int dim = 10;
90 
91  RCP<ParameterList> parlist = rcp(new ParameterList());
92  std::string paramfile = "parameters.xml";
93  updateParametersFromXmlFile(paramfile,parlist.ptr());
94 
95  // Define algorithm.
96  ROL::Algorithm<RealT> algo("Trust-Region",*parlist);
97 
98  RCP<vector> x_rcp = rcp( new vector(dim,1.0) );
99  RCP<vector> k_rcp = rcp( new vector(dim) );
100 
101  for(int i=0;i<dim;++i) {
102  (*k_rcp)[i] = 1.0 + i;
103  }
104 
105  RCP<V> xs = rcp( new SV(x_rcp) );
106  RCP<V> ks = rcp( new SV(k_rcp) );
107 
108  // Create ProfiledVector objects
110  RCP<V> kpf = rcp( new ROL::ProfiledVector<int,RealT>(ks) );
111 
113 
114  // Run algorithm.
115  algo.run(xpf, obj, true, *outStream);
116 
117  // Display number of function calls
118  ROL::printVectorFunctionCalls(xpf, *outStream);
119  }
120 
121  catch (std::logic_error err) {
122  *outStream << err.what() << "\n";
123  errorFlag = -1000;
124  }; // end try
125 
126  if (errorFlag != 0)
127  std::cout << "End Result: TEST FAILED\n";
128  else
129  std::cout << "End Result: TEST PASSED\n";
130 
131  return 0;
132 }
double RealT
int OrdinalT
Defines the linear algebra or vector space interface.
Definition: ROL_Vector.hpp:76
Vector< Real > V
Provides the std::vector implementation of the ROL::Vector interface.
Provides an interface to run optimization algorithms.
void printVectorFunctionCalls(const ProfiledVector< Ordinal, Real > &x, std::ostream &outStream=std::cout)
Contains definitions for the Zakharov function as evaluated using only the ROL::Vector interface...
By keeping a pointer to this in a derived Vector class, a tally of all methods is kept for profiling ...
int main(int argc, char *argv[])