44 #include "Teuchos_GlobalMPISession.hpp"
46 #include "Teuchos_GlobalMPISession.hpp"
52 #include "ROL_ParameterList.hpp"
66 Real
value(
const V &x, Real &tol ) {
72 void hessVec(
V &hv,
const V &v,
const V &x, Real &tol ) {
79 ROL::Ptr<const std::vector<Real> > xp =
82 for(
size_t i=0; i<xp->size(); ++i ) {
83 outStream << (*xp)[i] << std::endl;
92 int main(
int argc,
char *argv[]) {
94 typedef std::vector<RealT> vector;
101 typedef ROL::ParameterList PL;
103 Teuchos::GlobalMPISession mpiSession(&argc, &argv);
105 int iprint = argc - 1;
106 ROL::Ptr<std::ostream> outStream;
109 outStream = ROL::makePtrFromRef(std::cout);
111 outStream = ROL::makePtrFromRef(bhs);
118 PL &iplist = parlist.sublist(
"Step").sublist(
"Primal Dual Interior Point");
119 PL &lblist = iplist.sublist(
"Barrier Objective");
122 RealT kappaD = 1.e-4;
123 bool useLinearDamping =
true;
125 lblist.set(
"Use Linear Damping", useLinearDamping);
126 lblist.set(
"Linear Damping Coefficient",kappaD);
127 lblist.set(
"Initial Barrier Parameter",mu);
129 RealT ninf = ROL::ROL_NINF<RealT>();
130 RealT inf = ROL::ROL_INF<RealT>();
133 int numTestVectors = 19;
135 ROL::Ptr<vector> x_ptr = ROL::makePtr<vector>(dim, 0.0);
136 ROL::Ptr<vector> d_ptr = ROL::makePtr<vector>(dim, 0.0);
137 ROL::Ptr<vector> v_ptr = ROL::makePtr<vector>(dim, 0.0);
138 ROL::Ptr<vector> l_ptr = ROL::makePtr<vector>(dim, 0.0);
139 ROL::Ptr<vector> u_ptr = ROL::makePtr<vector>(dim, 0.0);
140 ROL::Ptr<vector> e0_ptr = ROL::makePtr<vector>(dim, 0.0);
147 (*l_ptr)[0] = ninf; (*u_ptr)[0] = 5.0;
148 (*l_ptr)[1] = ninf; (*u_ptr)[1] = inf;
149 (*l_ptr)[2] = -5.0; (*u_ptr)[2] = inf;
150 (*l_ptr)[3] = -5.0; (*u_ptr)[3] = 5.0;
156 ROL::Ptr<V> x = ROL::makePtr<SV>( x_ptr );
157 ROL::Ptr<V> d = ROL::makePtr<SV>( d_ptr );
158 ROL::Ptr<V> v = ROL::makePtr<SV>( v_ptr );
159 ROL::Ptr<V> l = ROL::makePtr<SV>( l_ptr );
160 ROL::Ptr<V> u = ROL::makePtr<SV>( u_ptr );
162 ROL::Ptr<const V> maskL, maskU;
167 std::vector<RealT> values(numTestVectors);
168 std::vector<RealT> exact_values(numTestVectors);
170 std::vector<ROL::Ptr<V> > x_test;
172 for(
int i=0; i<numTestVectors; ++i) {
173 x_test.push_back(x->clone());
174 RealT t =
static_cast<RealT>(i)/static_cast<RealT>(numTestVectors-1);
175 RealT fillValue = xmax*(2.0*t-1.0);
176 x_test[i]->applyUnary(ROL::Elementwise::Fill<RealT>(fillValue));
179 ROL::Ptr<OBJ> obj = ROL::makePtr<NullObjective<RealT>>();
180 ROL::Ptr<BND> bnd = ROL::makePtr<ROL::Bounds<RealT>>(l,u);
184 maskL = ipobj.getLowerMask();
185 maskU = ipobj.getUpperMask();
187 ROL::Ptr<const std::vector<RealT> > maskL_ptr =
dynamic_cast<const SV&
>(*maskL).getVector();
188 ROL::Ptr<const std::vector<RealT> > maskU_ptr =
dynamic_cast<const SV&
>(*maskU).getVector();
190 *outStream <<
"\nLower bound vector" << std::endl;
193 *outStream <<
"\nUpper bound vector" << std::endl;
196 *outStream <<
"\nLower mask vector" << std::endl;
199 *outStream <<
"\nUpper mask vector" << std::endl;
202 *outStream <<
"\nChecking Objective value" << std::endl;
204 RealT tol = std::sqrt(ROL::ROL_EPSILON<RealT>());
205 *outStream << std::setw(16) <<
"x[i], i=0,1,2,3"
206 << std::setw(20) <<
"Computed Objective"
207 << std::setw(20) <<
"Exact Objective" << std::endl;
209 RealT valueError(0.0);
211 for(
int i=0; i<numTestVectors; ++i) {
212 values[i] = ipobj.value(*(x_test[i]),tol);
217 RealT xval = x_test[i]->dot(e0);
220 for(
int j=0; j<dim; ++j) {
221 if( (*maskL_ptr)[j] ) {
222 RealT diff = xval-(*l_ptr)[j];
223 exact_values[i] -= mu*std::log(diff);
225 if( useLinearDamping && !(*maskU_ptr)[j] ) {
226 exact_values[i] += mu*kappaD*diff;
230 if( (*maskU_ptr)[j] ) {
231 RealT diff = (*u_ptr)[j]-xval;
232 exact_values[i] -= mu*std::log(diff);
234 if(useLinearDamping && !(*maskL_ptr)[j] ) {
235 exact_values[i] += mu*kappaD*diff;
241 *outStream << std::setw(16) << xval
242 << std::setw(20) << values[i]
243 << std::setw(20) << exact_values[i] << std::endl;
244 RealT valDiff = exact_values[i] - values[i];
245 valueError += valDiff*valDiff;
248 if(valueError>ROL::ROL_EPSILON<RealT>()) {
252 *outStream <<
"\nPerforming finite difference checks" << std::endl;
254 ipobj.checkGradient(*x,*v,
true,*outStream); *outStream << std::endl;
255 ipobj.checkHessVec(*x,*d,
true,*outStream); *outStream << std::endl;
256 ipobj.checkHessSym(*x,*d,*v,
true,*outStream); *outStream << std::endl;
259 catch (std::logic_error err) {
260 *outStream << err.what() << std::endl;
265 std::cout <<
"End Result: TEST FAILED" << std::endl;
267 std::cout <<
"End Result: TEST PASSED" << std::endl;
Provides the interface to evaluate objective functions.
void gradient(V &g, const V &x, Real &tol)
Compute gradient.
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].
virtual void zero()
Set to zero vector.
Defines the linear algebra or vector space interface.
Real value(const V &x, Real &tol)
Compute value.
void printVector(const ROL::Vector< Real > &x, std::ostream &outStream)
Provides the interface to evaluate the Interior Pointy log barrier penalty function with upper and lo...
Provides the interface to apply upper and lower bound constraints.
basic_nullstream< char, char_traits< char >> nullstream
void hessVec(V &hv, const V &v, const V &x, Real &tol)
Apply Hessian approximation to vector.
int main(int argc, char *argv[])