202int main(
int argc,
char *argv[])
205 bool success =
false;
208 Teuchos::RCP<const Thyra::ModelEvaluator<double> >
215 RCP<Thyra::VectorBase<double> > x_n =
216 model->getNominalValues().get_x()->clone_v();
217 RCP<Thyra::VectorBase<double> > xDot_n =
218 model->getNominalValues().get_x_dot()->clone_v();
221 double finalTime = 2.0;
222 int nTimeSteps = 2001;
223 const double constDT = finalTime/(nTimeSteps-1);
226 cout << n <<
" " << time <<
" " << get_ele(*(x_n), 0)
227 <<
" " << get_ele(*(x_n), 1) << endl;
228 while (passed && time < finalTime && n < nTimeSteps) {
231 RCP<Thyra::VectorBase<double> > x_np1 = x_n->clone_v();
239 auto inArgs = model->createInArgs();
240 auto outArgs = model->createOutArgs();
243 inArgs.set_x_dot(Teuchos::null);
244 outArgs.set_f(xDot_n);
247 model->evalModel(inArgs, outArgs);
250 Thyra::V_VpStV(x_np1.ptr(), *x_n, dt, *xDot_n);
253 if ( std::isnan(Thyra::norm(*x_np1)) ) {
257 Thyra::V_V(x_n.ptr(), *x_np1);
263 cout << n <<
" " << time <<
" " << get_ele(*(x_n), 0)
264 <<
" " << get_ele(*(x_n), 1) << endl;
268 RCP<Thyra::VectorBase<double> > x_regress = x_n->clone_v();
270 Thyra::DetachedVectorView<double> x_regress_view(*x_regress);
271 x_regress_view[0] = -1.59496108218721311;
272 x_regress_view[1] = 0.96359412806611255;
275 RCP<Thyra::VectorBase<double> > x_error = x_n->clone_v();
276 Thyra::V_VmV(x_error.ptr(), *x_n, *x_regress);
277 double x_L2norm_error = Thyra::norm_2(*x_error );
278 double x_L2norm_regress = Thyra::norm_2(*x_regress);
280 cout <<
"Relative L2 Norm of the error (regression) = "
281 << x_L2norm_error/x_L2norm_regress << endl;
282 if ( x_L2norm_error > 1.0e-08*x_L2norm_regress) {
284 cout <<
"FAILED regression constraint!" << endl;
287 RCP<Thyra::VectorBase<double> > x_best = x_n->clone_v();
289 Thyra::DetachedVectorView<double> x_best_view(*x_best);
290 x_best_view[0] = -1.59496108218721311;
291 x_best_view[1] = 0.96359412806611255;
294 Thyra::V_VmV(x_error.ptr(), *x_n, *x_best);
295 x_L2norm_error = Thyra::norm_2(*x_error);
296 double x_L2norm_best = Thyra::norm_2(*x_best );
298 cout <<
"Relative L2 Norm of the error (best) = "
299 << x_L2norm_error/x_L2norm_best << endl;
300 if ( x_L2norm_error > 0.02*x_L2norm_best) {
302 cout <<
"FAILED best constraint!" << endl;
304 if (passed) success =
true;
306 TEUCHOS_STANDARD_CATCH_STATEMENTS(verbose, std::cerr, success);
309 cout <<
"\nEnd Result: Test Passed!" << std::endl;
311 return ( success ? EXIT_SUCCESS : EXIT_FAILURE );