9 #include "Teuchos_UnitTestHarness.hpp"
10 #include "Teuchos_XMLParameterListHelpers.hpp"
11 #include "Teuchos_TimeMonitor.hpp"
12 #include "Teuchos_DefaultComm.hpp"
14 #include "Thyra_VectorStdOps.hpp"
15 #include "Thyra_MultiVectorStdOps.hpp"
17 #include "Tempus_IntegratorBasic.hpp"
18 #include "Tempus_IntegratorForwardSensitivity.hpp"
20 #include "Thyra_DefaultMultiVectorProductVector.hpp"
21 #include "Thyra_DefaultProductVector.hpp"
23 #include "../TestModels/SinCosModel.hpp"
24 #include "../TestUtils/Tempus_ConvergenceTestUtils.hpp"
32 using Teuchos::ParameterList;
33 using Teuchos::sublist;
34 using Teuchos::getParametersFromXmlFile;
43 const bool use_dfdp_as_tangent,
44 Teuchos::FancyOStream &out,
bool &success)
46 std::vector<std::string> RKMethods;
47 RKMethods.push_back(
"RK Forward Euler");
48 RKMethods.push_back(
"RK Explicit 4 Stage");
49 RKMethods.push_back(
"RK Explicit 3/8 Rule");
50 RKMethods.push_back(
"RK Explicit 4 Stage 3rd order by Runge");
51 RKMethods.push_back(
"RK Explicit 5 Stage 3rd order by Kinnmark and Gray");
52 RKMethods.push_back(
"RK Explicit 3 Stage 3rd order");
53 RKMethods.push_back(
"RK Explicit 3 Stage 3rd order TVD");
54 RKMethods.push_back(
"RK Explicit 3 Stage 3rd order by Heun");
55 RKMethods.push_back(
"RK Explicit 2 Stage 2nd order by Runge");
56 RKMethods.push_back(
"RK Explicit Trapezoidal");
57 RKMethods.push_back(
"General ERK");
58 std::vector<double> RKMethodErrors;
59 if (use_combined_method) {
60 RKMethodErrors.push_back(0.183799);
61 RKMethodErrors.push_back(6.88637e-06);
62 RKMethodErrors.push_back(6.88637e-06);
63 RKMethodErrors.push_back(0.000264154);
64 RKMethodErrors.push_back(5.22798e-05);
65 RKMethodErrors.push_back(0.000261896);
66 RKMethodErrors.push_back(0.000261896);
67 RKMethodErrors.push_back(0.000261896);
68 RKMethodErrors.push_back(0.00934377);
69 RKMethodErrors.push_back(0.00934377);
70 RKMethodErrors.push_back(6.88637e-06);
73 RKMethodErrors.push_back(0.183799);
74 RKMethodErrors.push_back(2.1915e-05);
75 RKMethodErrors.push_back(2.23367e-05);
76 RKMethodErrors.push_back(0.000205051);
77 RKMethodErrors.push_back(2.85141e-05);
78 RKMethodErrors.push_back(0.000126478);
79 RKMethodErrors.push_back(9.64964e-05);
80 RKMethodErrors.push_back(0.000144616);
81 RKMethodErrors.push_back(0.00826159);
82 RKMethodErrors.push_back(0.00710492);
83 RKMethodErrors.push_back(2.1915e-05);
85 Teuchos::RCP<const Teuchos::Comm<int> > comm =
86 Teuchos::DefaultComm<int>::getComm();
87 Teuchos::RCP<Teuchos::FancyOStream> my_out =
88 Teuchos::fancyOStream(Teuchos::rcpFromRef(std::cout));
89 my_out->setProcRankAndSize(comm->getRank(), comm->getSize());
90 my_out->setOutputToRootOnly(0);
92 for(std::vector<std::string>::size_type m = 0; m != RKMethods.size(); m++) {
94 std::string RKMethod_ = RKMethods[m];
95 std::replace(RKMethod_.begin(), RKMethod_.end(),
' ',
'_');
96 std::replace(RKMethod_.begin(), RKMethod_.end(),
'/',
'.');
97 std::vector<double> StepSize;
98 std::vector<double> ErrorNorm;
99 const int nTimeStepSizes = 7;
102 for (
int n=0; n<nTimeStepSizes; n++) {
105 RCP<ParameterList> pList =
106 getParametersFromXmlFile(
"Tempus_ExplicitRK_SinCos.xml");
109 RCP<ParameterList> scm_pl = sublist(pList,
"SinCosModel",
true);
110 scm_pl->set(
"Use DfDp as Tangent", use_dfdp_as_tangent);
111 RCP<SinCosModel<double> > model =
112 Teuchos::rcp(
new SinCosModel<double>(scm_pl));
115 RCP<ParameterList> pl = sublist(pList,
"Tempus",
true);
116 if (RKMethods[m] ==
"General ERK") {
117 pl->sublist(
"Demo Integrator").set(
"Stepper Name",
"Demo Stepper 2");
119 pl->sublist(
"Demo Stepper").set(
"Stepper Type", RKMethods[m]);
126 ParameterList& sens_pl = pl->sublist(
"Sensitivities");
127 if (use_combined_method)
128 sens_pl.set(
"Sensitivity Method",
"Combined");
130 sens_pl.set(
"Sensitivity Method",
"Staggered");
131 sens_pl.set(
"Use DfDp as Tangent", use_dfdp_as_tangent);
132 ParameterList& interp_pl =
133 pl->sublist(
"Demo Integrator").sublist(
"Solution History").sublist(
"Interpolator");
134 interp_pl.set(
"Interpolator Type",
"Lagrange");
135 interp_pl.set(
"Order", 3);
138 pl->sublist(
"Demo Integrator")
139 .sublist(
"Time Step Control").set(
"Initial Time Step", dt);
140 RCP<Tempus::IntegratorForwardSensitivity<double> > integrator =
141 Tempus::integratorForwardSensitivity<double>(pl, model);
142 order = integrator->getStepper()->getOrder();
145 double t0 = pl->sublist(
"Demo Integrator")
146 .sublist(
"Time Step Control").get<
double>(
"Initial Time");
149 RCP<Thyra::VectorBase<double> > x0 =
150 model->getNominalValues().get_x()->clone_v();
151 const int num_param = model->get_p_space(0)->dim();
152 RCP<Thyra::MultiVectorBase<double> > DxDp0 =
153 Thyra::createMembers(model->get_x_space(), num_param);
154 for (
int i=0; i<num_param; ++i)
155 Thyra::assign(DxDp0->col(i).ptr(),
156 *(model->getExactSensSolution(i, t0).get_x()));
157 integrator->setInitialState(t0, x0, Teuchos::null, Teuchos::null,
158 DxDp0, Teuchos::null, Teuchos::null);
161 bool integratorStatus = integrator->advanceTime();
162 TEST_ASSERT(integratorStatus)
165 double time = integrator->getTime();
166 double timeFinal = pl->sublist(
"Demo Integrator")
167 .sublist(
"Time Step Control").get<
double>(
"Final Time");
168 TEST_FLOATING_EQUALITY(time, timeFinal, 1.0e-14);
171 RCP<const Thyra::VectorBase<double> > x = integrator->getX();
172 RCP<const Thyra::MultiVectorBase<double> > DxDp = integrator->getDxDp();
173 RCP<const Thyra::VectorBase<double> > x_exact =
174 model->getExactSolution(time).get_x();
175 RCP<Thyra::MultiVectorBase<double> > DxDp_exact =
176 Thyra::createMembers(model->get_x_space(), num_param);
177 for (
int i=0; i<num_param; ++i)
178 Thyra::assign(DxDp_exact->col(i).ptr(),
179 *(model->getExactSensSolution(i, time).get_x()));
182 if (comm->getRank() == 0 && n == nTimeStepSizes-1) {
183 typedef Thyra::DefaultMultiVectorProductVector<double> DMVPV;
185 std::ofstream ftmp(
"Tempus_"+RKMethod_+
"_SinCos_Sens.dat");
187 integrator->getSolutionHistory();
188 RCP< Thyra::MultiVectorBase<double> > DxDp_exact_plot =
189 Thyra::createMembers(model->get_x_space(), num_param);
191 RCP<const SolutionState<double> > solutionState =
192 (*solutionHistory)[i];
193 double time = solutionState->getTime();
194 RCP<const DMVPV> x_prod_plot =
195 Teuchos::rcp_dynamic_cast<const DMVPV>(solutionState->getX());
196 RCP<const Thyra::VectorBase<double> > x_plot =
197 x_prod_plot->getMultiVector()->col(0);
198 RCP<const Thyra::MultiVectorBase<double> > DxDp_plot =
199 x_prod_plot->getMultiVector()->subView(Teuchos::Range1D(1,num_param));
200 RCP<const Thyra::VectorBase<double> > x_exact_plot =
201 model->getExactSolution(time).get_x();
202 for (
int j=0; j<num_param; ++j)
203 Thyra::assign(DxDp_exact_plot->col(j).ptr(),
204 *(model->getExactSensSolution(j, time).get_x()));
205 ftmp << std::fixed << std::setprecision(7)
207 << std::setw(11) << get_ele(*(x_plot), 0)
208 << std::setw(11) << get_ele(*(x_plot), 1);
209 for (
int j=0; j<num_param; ++j)
210 ftmp << std::setw(11) << get_ele(*(DxDp_plot->col(j)), 0)
211 << std::setw(11) << get_ele(*(DxDp_plot->col(j)), 1);
212 ftmp << std::setw(11) << get_ele(*(x_exact_plot), 0)
213 << std::setw(11) << get_ele(*(x_exact_plot), 1);
214 for (
int j=0; j<num_param; ++j)
215 ftmp << std::setw(11) << get_ele(*(DxDp_exact_plot->col(j)), 0)
216 << std::setw(11) << get_ele(*(DxDp_exact_plot->col(j)), 1);
223 RCP<Thyra::VectorBase<double> > xdiff = x->clone_v();
224 RCP<Thyra::MultiVectorBase<double> > DxDpdiff = DxDp->clone_mv();
225 Thyra::V_StVpStV(xdiff.ptr(), 1.0, *x_exact, -1.0, *(x));
226 Thyra::V_VmV(DxDpdiff.ptr(), *DxDp_exact, *DxDp);
227 StepSize.push_back(dt);
228 double L2norm = Thyra::norm_2(*xdiff);
230 Teuchos::Array<double> L2norm_DxDp(num_param);
231 Thyra::norms_2(*DxDpdiff, L2norm_DxDp());
232 for (
int i=0; i<num_param; ++i)
233 L2norm += L2norm_DxDp[i]*L2norm_DxDp[i];
234 L2norm = std::sqrt(L2norm);
235 ErrorNorm.push_back(L2norm);
237 *my_out <<
" n = " << n <<
" dt = " << dt <<
" error = " << L2norm
242 double slope = computeLinearRegressionLogLog<double>(StepSize, ErrorNorm);
243 *my_out <<
" Stepper = " << RKMethods[m] << std::endl;
244 *my_out <<
" =========================" << std::endl;
245 *my_out <<
" Expected order: " << order << std::endl;
246 *my_out <<
" Observed order: " << slope << std::endl;
247 *my_out <<
" =========================" << std::endl;
248 TEST_FLOATING_EQUALITY( slope, order, 0.04 );
249 TEST_FLOATING_EQUALITY( ErrorNorm[0], RKMethodErrors[m], 1.0e-4 );
251 if (comm->getRank() == 0) {
252 std::ofstream ftmp(
"Tempus_"+RKMethod_+
"_SinCos_Sens-Error.dat");
253 double error0 = 0.8*ErrorNorm[0];
254 for (
int n=0; n<nTimeStepSizes; n++) {
255 ftmp << StepSize[n] <<
" " << ErrorNorm[n] <<
" "
256 << error0*(pow(StepSize[n]/StepSize[0],order)) << std::endl;
262 Teuchos::TimeMonitor::summarize();