ROL
json/example_01.cpp
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62 #include "ROL_Algorithm.hpp"
63 #include "ROL_StdVector.hpp"
64 #include "ROL_Zakharov.hpp"
65 
66 #include "example_01.hpp"
67 
68 #include "ROL_Stream.hpp"
69 #include "Teuchos_GlobalMPISession.hpp"
70 #include "Teuchos_XMLParameterListHelpers.hpp"
71 
72 typedef double RealT;
73 
74 int main(int argc, char *argv[]) {
75 
76  Teuchos::GlobalMPISession mpiSession(&argc, &argv);
77 
78  // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
79  int iprint = argc - 1;
80  ROL::Ptr<std::ostream> outStream;
81  ROL::nullstream bhs; // outputs nothing
82  if (iprint > 0)
83  outStream = ROL::makePtrFromRef(std::cout);
84  else
85  outStream = ROL::makePtrFromRef(bhs);
86 
87  int errorFlag = 0;
88 
89  // *** Example body.
90 
91  try {
92 
93  int dim = 10;
94 
95  ROL::ParameterList parlist;
96 
97  std::string jsonFileName("parameters.json");
98  parlist.setName("Imported from " + jsonFileName);
99 
100  // Load json parameters into a ROL::ParameterList
101  ROL::JSON_Parameters(jsonFileName,parlist);
102  std::string stepname = "Trust Region"; // can we obtain this from parlist? or jsonFile?
103 
105  ROL::Ptr<ROL::Step<RealT> > step = stepFactory.getStep(stepname, parlist);
106 
107  // Define Status Test
108  RealT gtol = parlist.get("Gradient Tolerance",1e-12);
109  RealT stol = parlist.get("Step Tolerance",1e-14);
110  int maxit = parlist.get("Maximum Number of Iterations",100);
111  ROL::Ptr<ROL::StatusTest<RealT> > status = ROL::makePtr<ROL::StatusTest<RealT>>(gtol, stol, maxit);
112 
113  ROL::Algorithm<RealT> algo(step,status,false);
114 
115  ROL::Ptr<std::vector<RealT> > x_ptr = ROL::makePtr<std::vector<RealT>>(dim, 1.0);
116  ROL::Ptr<std::vector<RealT> > k_ptr = ROL::makePtr<std::vector<RealT>>(dim, 0.0);
117 
118  ROL::StdVector<RealT> x(x_ptr);
119  ROL::Ptr<ROL::Vector<RealT> > k = ROL::makePtr<ROL::StdVector<RealT>>(k_ptr);
120 
121  for(int i=0;i<dim;++i) {
122  (*k_ptr)[i] = i+1.0;
123  }
124 
126 
127  // Run Algorithm
128  algo.run(x, obj, true, *outStream);
129 
130  // Get True Solution
131  ROL::Ptr<std::vector<RealT> > xtrue_ptr = ROL::makePtr<std::vector<RealT>>(dim, 0.0);
132  ROL::StdVector<RealT> xtrue(xtrue_ptr);
133 
134  // Compute Error
135  x.axpy(-1.0, xtrue);
136  RealT abserr = x.norm();
137  *outStream << std::scientific << "\n Absolute Error: " << abserr;
138  if ( abserr > sqrt(ROL::ROL_EPSILON<RealT>())) ) {
139  errorFlag += 1;
140  }
141 
142  // Make an XML file containing the supplied parameters
143  Teuchos::writeParameterListToXmlFile(parlist,"parameters.xml");
144 
145  }
146  catch (std::logic_error& err) {
147  *outStream << err.what() << "\n";
148  errorFlag = -1000;
149  }; // end try
150 
151  if (errorFlag != 0)
152  std::cout << "End Result: TEST FAILED\n";
153  else
154  std::cout << "End Result: TEST PASSED\n";
155 
156  return 0;
157 
158 }
159 
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Contains definitions for the Zakharov function as evaluated using only the ROL::Vector interface.
Provides an interface to run optimization algorithms.
Provides the ROL::Vector interface for scalar values, to be used, for example, with scalar constraint...
int main(int argc, char *argv[])
double RealT
basic_nullstream< char, char_traits< char > > nullstream
Definition: ROL_Stream.hpp:72
void stepFactory(ROL::ParameterList &parlist, ROL::Ptr< ROL::Step< Real > > &step)
A minimalist step factory which specializes the Step Type depending on whether a Trust-Region or Line...
void JSON_Parameters(const std::string &jsonFileName, ROL::ParameterList &parlist)
Read a JSON file and store all parameters in a ROL::ParameterList. Checks for a key called "Algorithm...
constexpr auto dim