ROL
json/example_01.cpp
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62 #include "example_01.hpp"
63 #include "ROL_Algorithm.hpp"
64 #include "ROL_StdVector.hpp"
65 #include "ROL_Zakharov.hpp"
66 
67 #include "Teuchos_oblackholestream.hpp"
68 #include "Teuchos_GlobalMPISession.hpp"
69 #include "Teuchos_XMLParameterListHelpers.hpp"
70 
71 typedef double RealT;
72 
73 int main(int argc, char *argv[]) {
74 
75  Teuchos::GlobalMPISession mpiSession(&argc, &argv);
76 
77  // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
78  int iprint = argc - 1;
79  Teuchos::RCP<std::ostream> outStream;
80  Teuchos::oblackholestream bhs; // outputs nothing
81  if (iprint > 0)
82  outStream = Teuchos::rcp(&std::cout, false);
83  else
84  outStream = Teuchos::rcp(&bhs, false);
85 
86  int errorFlag = 0;
87 
88  // *** Example body.
89 
90  try {
91 
92  int dim = 10;
93 
94  Teuchos::ParameterList parlist;
95 
96  std::string jsonFileName("parameters.json");
97  parlist.setName("Imported from " + jsonFileName);
98 
99  // Load json parameters into a Teuchos::ParameterList
100  ROL::JSON_Parameters(jsonFileName,parlist);
101 
102  Teuchos::RCP<ROL::Step<RealT> > step;
103  ROL::stepFactory<RealT>(parlist,step);
104 
105  // Define Status Test
106  RealT gtol = parlist.get("Gradient Tolerance",1e-12);
107  RealT stol = parlist.get("Step Tolerance",1e-14);
108  int maxit = parlist.get("Maximum Number of Iterations",100);
109  ROL::StatusTest<RealT> status(gtol, stol, maxit);
110 
111  ROL::DefaultAlgorithm<RealT> algo(*step,status,false);
112 
113  Teuchos::RCP<std::vector<RealT> > x_rcp = Teuchos::rcp(new std::vector<RealT> (dim, 1.0) );
114  Teuchos::RCP<std::vector<RealT> > k_rcp = Teuchos::rcp(new std::vector<RealT> (dim, 0.0) );
115 
116  ROL::StdVector<RealT> x(x_rcp);
117  Teuchos::RCP<ROL::Vector<RealT> > k = Teuchos::rcp(new ROL::StdVector<RealT>(k_rcp) );
118 
119  for(int i=0;i<dim;++i) {
120  (*k_rcp)[i] = i+1.0;
121  }
122 
124 
125  // Run Algorithm
126  std::vector<std::string> output = algo.run(x, obj, false);
127  for ( unsigned i = 0; i < output.size(); i++ ) {
128  std::cout << output[i];
129  }
130 
131  // Get True Solution
132  Teuchos::RCP<std::vector<RealT> > xtrue_rcp = Teuchos::rcp( new std::vector<RealT> (dim, 0.0) );
133  ROL::StdVector<RealT> xtrue(xtrue_rcp);
134 
135  // Compute Error
136  x.axpy(-1.0, xtrue);
137  RealT abserr = x.norm();
138  *outStream << std::scientific << "\n Absolute Error: " << abserr;
139  if ( abserr > sqrt(ROL::ROL_EPSILON) ) {
140  errorFlag += 1;
141  }
142 
143  // Make an XML file containing the supplied parameters
144  Teuchos::writeParameterListToXmlFile(parlist,"parameters.xml");
145 
146  }
147  catch (std::logic_error err) {
148  *outStream << err.what() << "\n";
149  errorFlag = -1000;
150  }; // end try
151 
152  if (errorFlag != 0)
153  std::cout << "End Result: TEST FAILED\n";
154  else
155  std::cout << "End Result: TEST PASSED\n";
156 
157  return 0;
158 
159 }
160 
double RealT
virtual void axpy(const Real alpha, const Vector &x)
Compute where .
Definition: ROL_Vector.hpp:141
int main(int argc, char *argv[])
Real norm() const
Returns where .
Provides the std::vector implementation of the ROL::Vector interface.
virtual std::vector< std::string > run(Vector< Real > &x, Objective< Real > &obj, bool print=false, std::ostream &outStream=std::cout)
Run algorithm on unconstrained problems (Type-U). This is the primary Type-U interface.
Provides an interface to check status of optimization algorithms.
Contains definitions for the Zakharov function as evaluated using only the ROL::Vector interface...
double RealT
void JSON_Parameters(const std::string &jsonFileName, Teuchos::ParameterList &parlist)
Read a JSON file and store all parameters in a Teuchos::ParameterList. Checks for a key called "Algor...
static const double ROL_EPSILON
Platform-dependent machine epsilon.
Definition: ROL_Types.hpp:115