ROL
function/test_11.cpp
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43 
49 #include "ROL_ColemanLiModel.hpp"
50 #include "ROL_HS2.hpp"
51 #include "ROL_StdVector.hpp"
52 #include "ROL_RandomVector.hpp"
53 #include "ROL_Stream.hpp"
54 #include "Teuchos_GlobalMPISession.hpp"
55 //#include <fenv.h>
56 
57 typedef double RealT;
58 
59 int main(int argc, char *argv[]) {
60 // feenableexcept(FE_DIVBYZERO | FE_INVALID | FE_OVERFLOW);
61 
62  typedef ROL::Vector<RealT> V;
63  typedef ROL::Objective<RealT> OBJ;
64  typedef ROL::BoundConstraint<RealT> CON;
65 
66 
67  Teuchos::GlobalMPISession mpiSession(&argc, &argv);
68 
69  // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
70  int iprint = argc - 1;
71  ROL::Ptr<std::ostream> outStream;
72  ROL::nullstream bhs; // outputs nothing
73  if (iprint > 0)
74  outStream = ROL::makePtrFromRef(std::cout);
75  else
76  outStream = ROL::makePtrFromRef(bhs);
77 
78  // Save the format state of the original std::cout.
79  ROL::nullstream oldFormatState;
80  oldFormatState.copyfmt(std::cout);
81 
82  RealT zero(0);
83 
84  ROL::Ptr<V> x0;
85  ROL::Ptr<V> x;
86  ROL::Ptr<V> g;
87  ROL::Ptr<OBJ> obj;
88  ROL::Ptr<CON> con;
89  ROL::Ptr<OBJ> model;
90 
92  obj = HS2.getObjective();
93  con = HS2.getBoundConstraint();
94  x0 = HS2.getInitialGuess();
95  x = HS2.getSolution();
96 
97  g = x->dual().clone();
98 
99  // Need to evaluate the gradient to construct the model
100  obj->gradient(*g,*x,zero);
101 
102  model = ROL::makePtr<ROL::ColemanLiModel<RealT>>(*obj,*con,*x,*g);
103 
104  ROL::Ptr<V> s = x->clone();
105  ROL::Ptr<V> v = x->clone();
106  ROL::Ptr<V> u = x->clone();
107 
108  ROL::RandomizeVector(*s,-1.0,1.0);
109  ROL::RandomizeVector(*u,-1.0,1.0);
110  ROL::RandomizeVector(*v,-1.0,1.0);
111 
112  model->checkGradient(*s,*v);
113  model->checkHessVec(*s,*v);
114  model->checkHessSym(*s,*u,*v);
115 
116  return 0;
117 }
118 
119 
Provides the interface to evaluate objective functions.
void RandomizeVector(Vector< Real > &x, const Real &lower=0.0, const Real &upper=1.0)
Fill a ROL::Vector with uniformly-distributed random numbers in the interval [lower,upper].
Ptr< Vector< Real > > getInitialGuess(void) const
Definition: ROL_HS2.hpp:157
Ptr< Objective< Real > > getObjective(void) const
Definition: ROL_HS2.hpp:152
Defines the linear algebra or vector space interface.
Definition: ROL_Vector.hpp:80
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Objective_SerialSimOpt(const Ptr< Obj > &obj, const V &ui) z0_ zero()
Vector< Real > V
Ptr< Vector< Real > > getSolution(const int i=0) const
Definition: ROL_HS2.hpp:166
Provides the interface to apply upper and lower bound constraints.
basic_nullstream< char, char_traits< char >> nullstream
Definition: ROL_Stream.hpp:72
int main(int argc, char *argv[])
Contains definitions for W. Hock and K. Schittkowski 2nd test function.
Ptr< BoundConstraint< Real > > getBoundConstraint(void) const
Definition: ROL_HS2.hpp:178