24 #include "Teuchos_GlobalMPISession.hpp"
31 int main(
int argc,
char *argv[]) {
33 typedef std::vector<RealT> vector;
41 Teuchos::GlobalMPISession mpiSession(&argc, &argv);
44 int iprint = argc - 1;
45 ROL::Ptr<std::ostream> outStream;
48 outStream = ROL::makePtrFromRef(std::cout);
50 outStream = ROL::makePtrFromRef(bhs);
61 ROL::Ptr<vector> x_exact_ptr = ROL::makePtr<vector>(xdim);
62 (*x_exact_ptr)[0] = 1.0;
63 (*x_exact_ptr)[1] = 1.0;
65 ROL::Ptr<V> x = ROL::makePtr<SV>( ROL::makePtr<vector>(xdim, 0.0) );
66 ROL::Ptr<V> d = ROL::makePtr<SV>( ROL::makePtr<vector>(xdim, 0.0) );
67 ROL::Ptr<V> xtest = ROL::makePtr<SV>( ROL::makePtr<vector>(xdim, 0.0) );
69 ROL::Ptr<V> c1 = ROL::makePtr<SV>( ROL::makePtr<vector>(cdim, 1.0) );
70 ROL::Ptr<V> c2 = ROL::makePtr<SV>( ROL::makePtr<vector>(cdim, 1.0) );
71 ROL::Ptr<V> l1 = ROL::makePtr<SV>( ROL::makePtr<vector>(cdim, 1.0) );
72 ROL::Ptr<V> l2 = ROL::makePtr<SV>( ROL::makePtr<vector>(cdim, 1.0) );
79 SV x_exact( x_exact_ptr );
82 x->applyUnary(ROL::Elementwise::Fill<RealT>(2.0));
87 ROL::Ptr<OBJ> obj = ROL::makePtr<ROL::ZOO::Objective_HS39<RealT>>();
88 ROL::Ptr<EC> con1 = ROL::makePtr<ROL::ZOO::Constraint_HS39a<RealT>>();
89 ROL::Ptr<EC> con2 = ROL::makePtr<ROL::ZOO::Constraint_HS39b<RealT>>();
90 std::vector<ROL::Ptr<EC> > cvec(2); cvec[0] = con1; cvec[1] = con2;
92 ROL::Ptr<EC> con = ROL::makePtr<ROL::Constraint_Partitioned<RealT>>(cvec);
94 *outStream <<
"Checking objective" << std::endl;
95 obj->checkGradient(*x,*d,
true,*outStream);
97 *outStream <<
"\nChecking first equality constraint" << std::endl;
98 con1->checkApplyJacobian( *xtest, *d, *c1 ,
true, *outStream );
99 con1->checkApplyAdjointJacobian( *xtest, *l1, *c1, *d,
true, *outStream );
100 con1->checkApplyAdjointHessian( *xtest, *l1, *d, *xtest,
true, *outStream );
102 *outStream <<
"\nChecking second equality constraint" << std::endl;
103 con2->checkApplyJacobian( *xtest, *d, *c2,
true, *outStream );
104 con2->checkApplyAdjointJacobian( *xtest, *l2, *c2, *d,
true, *outStream );
105 con2->checkApplyAdjointHessian( *xtest, *l2, *d, *xtest,
true, *outStream );
107 *outStream <<
"\nChecking partitioned equality constraint" << std::endl;
108 con->checkApplyJacobian( *xtest, *d, *c,
true, *outStream );
109 con->checkApplyAdjointJacobian( *xtest, *l, *c, *d,
true, *outStream );
110 con->checkApplyAdjointHessian( *xtest, *l, *d, *xtest,
true, *outStream );
113 ROL::ParameterList parlist;
114 std::string stepname =
"Composite Step";
115 parlist.sublist(
"Step").sublist(stepname).sublist(
"Optimality System Solver").set(
"Nominal Relative Tolerance",1.e-4);
116 parlist.sublist(
"Step").sublist(stepname).sublist(
"Optimality System Solver").set(
"Fix Tolerance",
true);
117 parlist.sublist(
"Step").sublist(stepname).sublist(
"Tangential Subproblem Solver").set(
"Iteration Limit",20);
118 parlist.sublist(
"Step").sublist(stepname).sublist(
"Tangential Subproblem Solver").set(
"Relative Tolerance",1e-2);
119 parlist.sublist(
"Step").sublist(stepname).set(
"Output Level",0);
120 parlist.sublist(
"Status Test").set(
"Gradient Tolerance",1.e-12);
121 parlist.sublist(
"Status Test").set(
"Constraint Tolerance",1.e-12);
122 parlist.sublist(
"Status Test").set(
"Step Tolerance",1.e-18);
123 parlist.sublist(
"Status Test").set(
"Iteration Limit",100);
124 ROL::Ptr<ROL::StatusTest<RealT>>
125 status = ROL::makePtr<ROL::ConstraintStatusTest<RealT>>(parlist);
126 ROL::Ptr<ROL::Step<RealT>>
127 step = ROL::makePtr<ROL::CompositeStep<RealT>>(parlist);
130 algo.run(*x,x->dual(),*l,*c,*obj,*con,
true,*outStream);
132 x->axpy(-1.0,x_exact);
134 if( x->norm() > 1e-6 ) {
139 catch (std::logic_error& err) {
140 *outStream << err.what() <<
"\n";
145 std::cout <<
"End Result: TEST FAILED\n";
147 std::cout <<
"End Result: TEST PASSED\n";
Provides the interface to evaluate objective functions.
typename PV< Real >::size_type size_type
ROL::Ptr< Vector< Real > > CreatePartitionedVector(const ROL::Ptr< Vector< Real >> &a)
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].
Defines the linear algebra or vector space interface.
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Contains definitions for W. Hock and K. Schittkowski 39th test function.
Provides the ROL::Vector interface for scalar values, to be used, for example, with scalar constraint...
Provides an interface to run optimization algorithms.
basic_nullstream< char, char_traits< char >> nullstream
int main(int argc, char *argv[])