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 
void axpy(const Real alpha, const Vector< Real > &x)
Compute where .
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...
ROL::Ptr< Step< Real > > getStep(const std::string &type, ROL::ParameterList &parlist) const
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 &quot;Algorithm...
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Real norm() const
Returns where .
Provides the ROL::Vector interface for scalar values, to be used, for example, with scalar constraint...
Provides an interface to run optimization algorithms.
Contains definitions for the Zakharov function as evaluated using only the ROL::Vector interface...
basic_nullstream< char, char_traits< char >> nullstream
Definition: ROL_Stream.hpp:72
int main(int argc, char *argv[])