// *****************************************************************
// *****************************************************************
bool LOCA::Epetra::ModelEvaluatorInterface::
computeShiftedMatrix(double alpha, double beta, const Epetra_Vector& x,
Epetra_Operator& A)
{
// Create inargs
EpetraExt::ModelEvaluator::InArgs inargs = model_->createInArgs();
inargs.set_x(Teuchos::rcp(&x, false));
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_alpha))
inargs.set_alpha(-beta); // alpha and beta are switched between LOCA and Thyra
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_beta))
inargs.set_beta(alpha);
alpha_prev = -beta; beta_prev = alpha; // prec must know alpha and beta
inargs.set_p(0, Teuchos::rcp(¶m_vec, false));
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_x_dot)) {
// Create x_dot, filled with zeros
if (x_dot == NULL)
x_dot = new Epetra_Vector(x.Map());
inargs.set_x_dot(Teuchos::rcp(x_dot, false));
}
// Create outargs
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> eval_f;
outargs.set_f(eval_f);
outargs.set_W(Teuchos::rcp(&A, false));
model_->evalModel(inargs, outargs);
return true;
}
// *****************************************************************
// *****************************************************************
bool LOCA::Epetra::ModelEvaluatorInterface::
computeJacobian(const Epetra_Vector& x, Epetra_Operator& Jac)
{
// Create inargs
EpetraExt::ModelEvaluator::InArgs inargs = model_->createInArgs();
inargs.set_x(Teuchos::rcp(&x, false));
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_alpha))
inargs.set_alpha(0.0);
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_beta))
inargs.set_beta(1.0);
alpha_prev = 0.0; beta_prev = 1.0; // prec must know alpha and beta
inargs.set_p(0, Teuchos::rcp(¶m_vec, false));
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_x_dot)) {
// Create x_dot, filled with zeros
if (x_dot == NULL)
x_dot = new Epetra_Vector(x.Map());
inargs.set_x_dot(Teuchos::rcp(x_dot, false));
}
// Create outargs
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> eval_f;
outargs.set_f(eval_f);
outargs.set_W(Teuchos::rcp(&Jac, false));
model_->evalModel(inargs, outargs);
return true;
}
// *****************************************************************
// *****************************************************************
bool LOCA::Epetra::ModelEvaluatorInterface::
computeF(const Epetra_Vector& x, Epetra_Vector& F, const FillType fillFlag)
{
// Create inargs
EpetraExt::ModelEvaluator::InArgs inargs = model_->createInArgs();
inargs.set_x(Teuchos::rcp(&x, false));
inargs.set_p(0, Teuchos::rcp(¶m_vec, false));
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_x_dot)) {
// Create x_dot, filled with zeros
if (x_dot == NULL)
x_dot = new Epetra_Vector(x.Map());
inargs.set_x_dot(Teuchos::rcp(x_dot, false));
}
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_alpha))
inargs.set_alpha(0.0);
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_beta))
inargs.set_beta(1.0);
// Create outargs
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> eval_f;
Teuchos::RefCountPtr<Epetra_Vector> f = Teuchos::rcp(&F, false);
if (fillFlag == NOX::Epetra::Interface::Required::Residual)
eval_f.reset(f, EpetraExt::ModelEvaluator::EVAL_TYPE_EXACT);
else if (fillFlag == NOX::Epetra::Interface::Required::Jac)
eval_f.reset(f, EpetraExt::ModelEvaluator::EVAL_TYPE_APPROX_DERIV);
else
eval_f.reset(f, EpetraExt::ModelEvaluator::EVAL_TYPE_VERY_APPROX_DERIV);
outargs.set_f(eval_f);
model_->evalModel(inargs, outargs);
return true;
}
NOX::Abstract::Group::ReturnType
LOCA::Epetra::ModelEvaluatorInterface::
computeDfDp(LOCA::MultiContinuation::AbstractGroup& grp,
const vector<int>& param_ids,
NOX::Abstract::MultiVector& result,
bool isValidF) const
{
// Break result into f and df/dp
NOX::Epetra::Vector& f = dynamic_cast<NOX::Epetra::Vector&>(result[0]);
Epetra_Vector& epetra_f = f.getEpetraVector();
std::vector<int> dfdp_index(result.numVectors()-1);
for (unsigned int i=0; i<dfdp_index.size(); i++)
dfdp_index[i] = i+1;
Teuchos::RefCountPtr<NOX::Epetra::MultiVector> dfdp =
Teuchos::rcp_dynamic_cast<NOX::Epetra::MultiVector>(result.subView(dfdp_index));
Epetra_MultiVector& epetra_dfdp = dfdp->getEpetraMultiVector();
// Create inargs
EpetraExt::ModelEvaluator::InArgs inargs = model_->createInArgs();
const NOX::Epetra::Vector& x =
dynamic_cast<const NOX::Epetra::Vector&>(grp.getX());
const Epetra_Vector& epetra_x = x.getEpetraVector();
inargs.set_x(Teuchos::rcp(&epetra_x, false));
inargs.set_p(0, Teuchos::rcp(¶m_vec, false));
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_x_dot)) {
// Create x_dot, filled with zeros
if (x_dot == NULL)
x_dot = new Epetra_Vector(epetra_x.Map());
inargs.set_x_dot(Teuchos::rcp(x_dot, false));
}
// Create outargs
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
if (!isValidF) {
EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> eval_f;
Teuchos::RefCountPtr<Epetra_Vector> F = Teuchos::rcp(&epetra_f, false);
eval_f.reset(F, EpetraExt::ModelEvaluator::EVAL_TYPE_EXACT);
outargs.set_f(eval_f);
}
Teuchos::RefCountPtr<Epetra_MultiVector> DfDp =
Teuchos::rcp(&epetra_dfdp, false);
Teuchos::Array<int> param_indexes(param_ids.size());
for (unsigned int i=0; i<param_ids.size(); i++)
param_indexes[i] = param_ids[i];
EpetraExt::ModelEvaluator::DerivativeMultiVector dmv(DfDp, EpetraExt::ModelEvaluator::DERIV_MV_BY_COL,
param_indexes);
EpetraExt::ModelEvaluator::Derivative deriv(dmv);
outargs.set_DfDp(0, deriv);
model_->evalModel(inargs, outargs);
return NOX::Abstract::Group::Ok;
}
int Piro::Epetra::MatrixFreeOperator::Apply
(const Epetra_MultiVector& V, Epetra_MultiVector& Y) const
{
TEUCHOS_TEST_FOR_EXCEPTION(!baseIsSet, std::logic_error,
" Piro::Epetra::MatrixFreeOperator must have Base values set before Apply");
// Compute Wv=y by perturbing x
//const Epetra_Vector* v = V(0); ??THIS DOESN'T WORK!!! Why???
Teuchos::RCP<Epetra_Vector> v = Teuchos::rcp(new Epetra_Vector(View, V, 0));
Teuchos::RCP<Epetra_Vector> y = Teuchos::rcp(new Epetra_Vector(Copy, Y, 0));
Teuchos::RCP<const Epetra_Vector> xBase = modelInArgs.get_x();
Teuchos::RCP<const Epetra_Vector> xdotBase;
if (haveXdot) xdotBase = modelInArgs.get_x_dot();
double vectorNorm;
v->Norm2(&vectorNorm);
// Any operator time zero vector is zero vector
if (vectorNorm == 0.0) {
Y.PutScalar(0.0);
return 0;
}
double eta = lambda * (lambda + solutionNorm/vectorNorm);
xPert->Update(1.0, *xBase, eta, *v, 0.0);
if (haveXdot)
xdotPert->Update(1.0, *xdotBase, eta, *v, 0.0);
EpetraExt::ModelEvaluator::OutArgs modelOutArgs =
model->createOutArgs();
modelInArgs.set_x(xPert);
if (haveXdot) modelInArgs.set_x_dot(xdotPert);
// Alert model that this is a perturbed calculation, in case it does something different.
EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> fPertEval(fPert, EpetraExt::ModelEvaluator::EVAL_TYPE_APPROX_DERIV);
modelOutArgs.set_f(fPertEval);
model->evalModel(modelInArgs, modelOutArgs);
modelInArgs.set_x(xBase);
if (haveXdot) modelInArgs.set_x_dot(xdotBase);
modelOutArgs.set_f(fBase);
y->Update(1.0, *fPert, -1.0, *fBase, 0.0);
y->Scale(1.0/eta);
Teuchos::RCP<Epetra_Vector> Y0 = Teuchos::rcp(new Epetra_Vector(View, Y, 0));
*Y0 = *y; // copy in
return 0;
}
// *****************************************************************
// *****************************************************************
bool NOX::Epetra::ModelEvaluatorInterface::
computeJacobian(const Epetra_Vector& x, Epetra_Operator& Jaco)
{
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
inargs_.set_x( Teuchos::rcp(&x, false) );
outargs.set_W( Teuchos::rcp(&Jaco, false) );
model_->evalModel(inargs_, outargs);
inargs_.set_x(Teuchos::null);
return true;
}
// *****************************************************************
// *****************************************************************
bool NOX::Epetra::ModelEvaluatorInterface::
computePreconditioner(const Epetra_Vector& x,
Epetra_Operator& M,
Teuchos::ParameterList* precParams)
{
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
inargs_.set_x( Teuchos::rcp(&x, false) );
outargs.set_WPrec( Teuchos::rcp(&M, false) );
model_->evalModel(inargs_, outargs);
inargs_.set_x(Teuchos::null);
return true;
}
void
LOCA::Epetra::ModelEvaluatorInterface::
postProcessContinuationStep(
LOCA::Abstract::Iterator::StepStatus stepStatus,
LOCA::Epetra::Group& group)
{
// Evaluate responses in model evaluator after successful step
if (stepStatus != LOCA::Abstract::Iterator::Successful) return;
// Create inargs
const NOX::Epetra::Vector& ex = dynamic_cast<const NOX::Epetra::Vector&>(group.getX());
const Epetra_Vector& x = ex.getEpetraVector();
EpetraExt::ModelEvaluator::InArgs inargs = model_->createInArgs();
inargs.set_x(Teuchos::rcp(&x, false));
inargs.set_p(0, Teuchos::rcp(¶m_vec, false));
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_x_dot)) {
// Create x_dot, filled with zeros
if (x_dot == NULL)
x_dot = new Epetra_Vector(x.Map());
inargs.set_x_dot(Teuchos::rcp(x_dot, false));
}
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_alpha))
inargs.set_alpha(0.0);
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_beta))
inargs.set_beta(1.0);
// Create outargs
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
int num_g = outargs.Ng();
if (num_g > 0) {
Teuchos::RCP<Epetra_Vector> g0 = Teuchos::rcp(new Epetra_Vector(*(model_->get_g_map(0))));
outargs.set_g(0,g0);
model_->evalModel(inargs, outargs);
}
}
// *****************************************************************
// *****************************************************************
bool LOCA::Epetra::ModelEvaluatorInterface::
computePreconditioner(const Epetra_Vector& x,
Epetra_Operator& M,
Teuchos::ParameterList* precParams)
{
// Create inargs
EpetraExt::ModelEvaluator::InArgs inargs = model_->createInArgs();
inargs.set_x(Teuchos::rcp(&x, false));
// alpha and beta are stored from previous matrix computation
// which might have been computeJacobian or computeShiftedMatrix
// This is a state-full hack, but needed since this function
// does not take alpha and beta as arguments. [AGS 01/10]
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_alpha))
inargs.set_alpha(alpha_prev);
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_beta))
inargs.set_beta(beta_prev);
inargs.set_p(0, Teuchos::rcp(¶m_vec, false));
if (inargs.supports(EpetraExt::ModelEvaluator::IN_ARG_x_dot)) {
// Create x_dot, filled with zeros
if (x_dot == NULL)
x_dot = new Epetra_Vector(x.Map());
inargs.set_x_dot(Teuchos::rcp(x_dot, false));
}
// Create outargs
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> eval_f;
eval_f.reset(Teuchos::null,
EpetraExt::ModelEvaluator::EVAL_TYPE_VERY_APPROX_DERIV);
outargs.set_f(eval_f);
outargs.set_WPrec(Teuchos::rcp(&M, false));
model_->evalModel(inargs, outargs);
return true;
}
// *****************************************************************
// *****************************************************************
bool NOX::Epetra::ModelEvaluatorInterface::
computeF(const Epetra_Vector& x, Epetra_Vector& F, const FillType fillFlag)
{
EpetraExt::ModelEvaluator::OutArgs outargs = model_->createOutArgs();
inargs_.set_x( Teuchos::rcp(&x, false) );
Teuchos::RCP<Epetra_Vector> f = Teuchos::rcp(&F, false);
if (fillFlag == NOX::Epetra::Interface::Required::Residual)
eval_f_.reset(f, EpetraExt::ModelEvaluator::EVAL_TYPE_EXACT);
else if (fillFlag == NOX::Epetra::Interface::Required::Jac)
eval_f_.reset(f, EpetraExt::ModelEvaluator::EVAL_TYPE_APPROX_DERIV);
else
eval_f_.reset(f, EpetraExt::ModelEvaluator::EVAL_TYPE_VERY_APPROX_DERIV);
outargs.set_f(eval_f_);
model_->evalModel(inargs_, outargs);
inargs_.set_x(Teuchos::null);
return true;
}
int main(int argc, char *argv[]) {
int status=0; // 0 = pass, failures are incremented
int overall_status=0; // 0 = pass, failures are incremented over multiple tests
bool success=true;
// Initialize MPI
Teuchos::GlobalMPISession mpiSession(&argc,&argv);
int Proc=mpiSession.getRank();
#ifdef HAVE_MPI
MPI_Comm appComm = MPI_COMM_WORLD;
#else
int appComm=0;
#endif
using Teuchos::RCP;
using Teuchos::rcp;
std::string inputFile;
bool doAll = (argc==1);
if (argc>1) doAll = !strcmp(argv[1],"-v");
for (int iTest=0; iTest<3; iTest++) {
if (doAll) {
switch (iTest) {
case 0: inputFile="input_Solve_VV.xml"; break;
case 1: inputFile="input_Solve_TR.xml"; break;
case 2: inputFile="input_Solve_NB.xml"; break;
default : std::cout << "iTest logic error " << std::endl; exit(-1);
}
}
else {
inputFile=argv[1];
iTest = 999;
}
if (Proc==0)
std::cout << "===================================================\n"
<< "====== Running input file: "<< inputFile <<"\n"
<< "===================================================\n"
<< std::endl;
try {
// Create (1) a Model Evaluator and (2) a ParameterList
RCP<EpetraExt::ModelEvaluator> Model = rcp(new MockModelEval_B(appComm));
RCP<Teuchos::ParameterList> piroParams =
rcp(new Teuchos::ParameterList("Piro Parameters"));
Teuchos::updateParametersFromXmlFile(inputFile, piroParams.ptr());
// Use these two objects to construct a Piro solved application
// EpetraExt::ModelEvaluator is base class of all Piro::Epetra solvers
RCP<EpetraExt::ModelEvaluator> piro;
std::string& solver = piroParams->get("Solver Type","NOX");
RCP<NOX::Epetra::Observer> observer = rcp(new ObserveSolution_Epetra());
if (solver=="NOX") {
piro = rcp(new Piro::Epetra::NOXSolver(piroParams, Model, observer));
}
else if (solver=="Velocity Verlet") {
piro = rcp(new Piro::Epetra::VelocityVerletSolver(
piroParams, Model, observer));
}
else if (solver=="Trapezoid Rule") {
piro = rcp(new Piro::Epetra::TrapezoidRuleSolver(
piroParams, Model, observer));
}
else if (solver=="Newmark") {
piro = rcp(new Piro::Epetra::NewmarkSolver(
piroParams, Model, observer));
}
else
TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error,
"Error: Unknown Piro Solver : " << solver);
// Now the (somewhat cumbersome) setting of inputs and outputs
EpetraExt::ModelEvaluator::InArgs inArgs = piro->createInArgs();
TEUCHOS_ASSERT(inArgs.Np() > 0); // Number of *vectors* of parameters
RCP<Epetra_Vector> p1 = rcp(new Epetra_Vector(*(piro->get_p_init(0))));
inArgs.set_p(0,p1);
// Set output arguments to evalModel call
EpetraExt::ModelEvaluator::OutArgs outArgs = piro->createOutArgs();
TEUCHOS_ASSERT(outArgs.Ng() >= 2); // Number of *vectors* of responses
RCP<Epetra_Vector> g1 = rcp(new Epetra_Vector(*(piro->get_g_map(0))));
outArgs.set_g(0,g1);
// Solution vector is returned as extra respons vector
RCP<Epetra_Vector> gx = rcp(new Epetra_Vector(*(piro->get_g_map(1))));
outArgs.set_g(1,gx);
// Now, solve the problem and return the responses
piro->evalModel(inArgs, outArgs);
// Print out everything
if (Proc == 0)
std::cout << "Finished Model Evaluation: Printing everything {Exact in brackets}"
<< "\n-----------------------------------------------------------------"
<< std::setprecision(9) << std::endl;
p1->Print(std::cout << "\nParameters! {1}\n");
g1->Print(std::cout << "\nResponses! {0.0}\n");
gx->Print(std::cout << "\nSolution! {0.0}\n");
if (Proc == 0)
std::cout <<
"\n-----------------------------------------------------------------\n";
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(true, std::cerr, success);
if (!success) status=10; else status=0;
overall_status += status;
}
if (Proc==0) {
if (overall_status==0) std::cout << "\nTEST PASSED\n" << std::endl;
else std::cout << "\nTEST Failed: " << overall_status << std::endl;
}
return status;
}
int main(int argc, char *argv[]) {
int status=0; // 0 = pass, failures are incremented
// Initialize MPI and timer
int Proc=0;
#ifdef HAVE_MPI
MPI_Init(&argc,&argv);
double total_time = -MPI_Wtime();
(void) MPI_Comm_rank(MPI_COMM_WORLD, &Proc);
MPI_Comm appComm = MPI_COMM_WORLD;
#else
int appComm=0;
#endif
using Teuchos::RCP;
using Teuchos::rcp;
// Command-line argument for input file
//char* defaultfile="input_1.xml";
try {
RCP<EpetraExt::ModelEvaluator> Model = rcp(new MockModelEval_A(appComm));
// Set input arguments to evalModel call
EpetraExt::ModelEvaluator::InArgs inArgs = Model->createInArgs();
RCP<Epetra_Vector> x = rcp(new Epetra_Vector(*(Model->get_x_init())));
inArgs.set_x(x);
int num_p = inArgs.Np(); // Number of *vectors* of parameters
RCP<Epetra_Vector> p1;
if (num_p > 0) {
p1 = rcp(new Epetra_Vector(*(Model->get_p_init(0))));
inArgs.set_p(0,p1);
}
int numParams = p1->MyLength(); // Number of parameters in p1 vector
// Set output arguments to evalModel call
EpetraExt::ModelEvaluator::OutArgs outArgs = Model->createOutArgs();
RCP<Epetra_Vector> f = rcp(new Epetra_Vector(x->Map()));
outArgs.set_f(f);
int num_g = outArgs.Ng(); // Number of *vectors* of responses
RCP<Epetra_Vector> g1;
if (num_g > 0) {
g1 = rcp(new Epetra_Vector(*(Model->get_g_map(0))));
outArgs.set_g(0,g1);
}
RCP<Epetra_Operator> W_op = Model->create_W();
outArgs.set_W(W_op);
RCP<Epetra_MultiVector> dfdp = rcp(new Epetra_MultiVector(
*(Model->get_x_map()), numParams));
outArgs.set_DfDp(0, dfdp);
RCP<Epetra_MultiVector> dgdp = rcp(new Epetra_MultiVector(g1->Map(), numParams));
outArgs.set_DgDp(0, 0, dgdp);
RCP<Epetra_MultiVector> dgdx = rcp(new Epetra_MultiVector(x->Map(), g1->MyLength()));
outArgs.set_DgDx(0, dgdx);
// Now, evaluate the model!
Model->evalModel(inArgs, outArgs);
// Print out everything
if (Proc == 0)
cout << "Finished Model Evaluation: Printing everything {Exact in brackets}"
<< "\n-----------------------------------------------------------------"
<< std::setprecision(9) << endl;
x->Print(cout << "\nSolution vector! {3,3,3,3}\n");
if (num_p>0) p1->Print(cout << "\nParameters! {1,1}\n");
f->Print(cout << "\nResidual! {8,5,0,-7}\n");
if (num_g>0) g1->Print(cout << "\nResponses! {2}\n");
RCP<Epetra_CrsMatrix> W = Teuchos::rcp_dynamic_cast<Epetra_CrsMatrix>(W_op, true);
W->Print(cout << "\nJacobian! {6 on diags}\n");
dfdp->Print(cout << "\nDfDp sensitivity MultiVector! {-1,0,0,0}{0,-4,-6,-8}\n");
dgdp->Print(cout << "\nDgDp response sensitivity MultiVector!{2,2}\n");
dgdx->Print(cout << "\nDgDx^T response gradient MultiVector! {-2,-2,-2,-2}\n");
if (Proc == 0)
cout <<
"\n-----------------------------------------------------------------\n";
}
catch (std::exception& e) {
cout << e.what() << endl;
status = 10;
}
catch (string& s) {
cout << s << endl;
status = 20;
}
catch (char *s) {
cout << s << endl;
status = 30;
}
catch (...) {
cout << "Caught unknown exception!" << endl;
status = 40;
}
#ifdef HAVE_MPI
total_time += MPI_Wtime();
MPI_Barrier(MPI_COMM_WORLD);
if (Proc==0) cout << "\n\nTOTAL TIME "
<< total_time << endl;
MPI_Finalize() ;
#endif
if (Proc==0) {
if (status==0)
cout << "TEST PASSED" << endl;
else
cout << "TEST Failed" << endl;
}
return status;
}
EpetraExt::MultiPointModelEvaluator::MultiPointModelEvaluator(
Teuchos::RefCountPtr<EpetraExt::ModelEvaluator> underlyingME_,
const Teuchos::RefCountPtr<EpetraExt::MultiComm> &globalComm_,
const std::vector<Epetra_Vector*> initGuessVec_,
Teuchos::RefCountPtr<std::vector< Teuchos::RefCountPtr<Epetra_Vector> > > q_vec_,
Teuchos::RefCountPtr<std::vector< Teuchos::RefCountPtr<Epetra_Vector> > > matching_vec_
) :
underlyingME(underlyingME_),
globalComm(globalComm_),
q_vec(q_vec_),
underlyingNg(0),
timeStepsOnTimeDomain(globalComm_->NumTimeStepsOnDomain()),
numTimeDomains(globalComm_->NumSubDomains()),
timeDomain(globalComm_->SubDomainRank()),
#ifndef EPETRA_NO_32BIT_GLOBAL_INDICES
rowStencil_int(0),
#endif
#ifndef EPETRA_NO_64BIT_GLOBAL_INDICES
rowStencil_LL(0),
#endif
#ifndef EPETRA_NO_32BIT_GLOBAL_INDICES
rowIndex_int(0),
#endif
#ifndef EPETRA_NO_64BIT_GLOBAL_INDICES
rowIndex_LL(0),
#endif
matching_vec(matching_vec_)
{
using Teuchos::as;
if (globalComm->MyPID()==0) {
std::cout << "----------MultiPoint Partition Info------------"
<< "\n\tNumProcs = " << globalComm->NumProc()
<< "\n\tSpatial Decomposition = " << globalComm->SubDomainComm().NumProc()
<< "\n\tNumber of Domains = " << numTimeDomains
<< "\n\tSteps on Domain 0 = " << timeStepsOnTimeDomain
<< "\n\tTotal Number of Steps = " << globalComm->NumTimeSteps();
std::cout << "\n-----------------------------------------------" << std::endl;
}
// Construct global block matrix graph from split W and stencil,
// which is just diagonal in this case
split_W = Teuchos::rcp_dynamic_cast<Epetra_RowMatrix>(underlyingME->create_W());
#ifndef EPETRA_NO_32BIT_GLOBAL_INDICES
if(split_W->RowMatrixRowMap().GlobalIndicesInt()) {
longlong = false;
rowStencil_int = new std::vector< std::vector<int> >(timeStepsOnTimeDomain);
rowIndex_int = new std::vector<int>;
for (int i=0; i < timeStepsOnTimeDomain; i++) {
(*rowStencil_int)[i].push_back(0);
(*rowIndex_int).push_back(i + globalComm->FirstTimeStepOnDomain());
}
block_W = Teuchos::rcp(new EpetraExt::BlockCrsMatrix(*split_W,
*rowStencil_int, *rowIndex_int, *globalComm));
}
else
#endif
#ifndef EPETRA_NO_64BIT_GLOBAL_INDICES
if(split_W->RowMatrixRowMap().GlobalIndicesInt()) {
longlong = true;
rowStencil_LL = new std::vector< std::vector<long long> >(timeStepsOnTimeDomain);
rowIndex_LL = new std::vector<long long>;
for (int i=0; i < timeStepsOnTimeDomain; i++) {
(*rowStencil_LL)[i].push_back(0);
(*rowIndex_LL).push_back(i + globalComm->FirstTimeStepOnDomain());
}
block_W = Teuchos::rcp(new EpetraExt::BlockCrsMatrix(*split_W,
*rowStencil_LL, *rowIndex_LL, *globalComm));
}
else
#endif
throw "EpetraExt::MultiPointModelEvaluator::MultiPointModelEvaluator: Global indices unknown";
// Test for g vector
EpetraExt::ModelEvaluator::OutArgs underlyingOutArgs = underlyingME->createOutArgs();
underlyingNg = underlyingOutArgs.Ng();
if (underlyingNg) {
if (underlyingOutArgs.supports(OUT_ARG_DgDp,0,0).supports(DERIV_TRANS_MV_BY_ROW))
orientation_DgDp = DERIV_TRANS_MV_BY_ROW;
else
orientation_DgDp = DERIV_MV_BY_COL;
}
// This code assumes 2 parameter vectors, 1 for opt, second for MultiPoint states
TEUCHOS_TEST_FOR_EXCEPT(underlyingOutArgs.Np()!=2);
// temporary quantities
const Epetra_Map& split_map = split_W->RowMatrixRowMap();
num_p0 = underlyingME_->get_p_map(0)->NumMyElements();
if (underlyingNg) num_g0 = underlyingME_->get_g_map(0)->NumMyElements();
else num_g0 = 0;
num_dg0dp0 = num_g0 * num_p0;
// Construct global solution vector, residual vector -- local storage
block_x = new EpetraExt::BlockVector(split_map, block_W->RowMap());
block_f = new EpetraExt::BlockVector(*block_x);
block_DfDp = new EpetraExt::BlockMultiVector(split_map, block_W->RowMap(), num_p0);
if (underlyingNg)
block_DgDx = new EpetraExt::BlockMultiVector(split_map, block_W->RowMap(), num_g0);
// Allocate local storage of epetra vectors
split_x = Teuchos::rcp(new Epetra_Vector(split_map));
split_f = Teuchos::rcp(new Epetra_Vector(split_map));
split_DfDp = Teuchos::rcp(new Epetra_MultiVector(split_map, num_p0));
if (underlyingNg)
split_DgDx = Teuchos::rcp(new Epetra_MultiVector(split_map, num_g0));
if (underlyingNg) {
if(orientation_DgDp == DERIV_TRANS_MV_BY_ROW)
split_DgDp = Teuchos::rcp(new Epetra_MultiVector(*(underlyingME_->get_p_map(0)), num_g0));
else
split_DgDp = Teuchos::rcp(new Epetra_MultiVector(*(underlyingME_->get_g_map(0)), num_p0));
}
if (underlyingNg)
split_g = Teuchos::rcp(new Epetra_Vector(*(underlyingME_->get_g_map(0))));
// Packaging required for getting multivectors back as Derivatives
derivMV_DfDp = new EpetraExt::ModelEvaluator::DerivativeMultiVector(split_DfDp);
deriv_DfDp = new EpetraExt::ModelEvaluator::Derivative(*derivMV_DfDp);
if (underlyingNg) {
derivMV_DgDx = new EpetraExt::ModelEvaluator::DerivativeMultiVector(split_DgDx, DERIV_TRANS_MV_BY_ROW);
deriv_DgDx = new EpetraExt::ModelEvaluator::Derivative(*derivMV_DgDx);
derivMV_DgDp = new EpetraExt::ModelEvaluator::DerivativeMultiVector(split_DgDp, orientation_DgDp);
deriv_DgDp = new EpetraExt::ModelEvaluator::Derivative(*derivMV_DgDp);
}
// For 4D, we will need the overlap vector and importer between them
// Overlap not needed for MultiPoint -- no overlap between blocks
/* solutionOverlap = new EpetraExt::BlockVector(split_W->RowMatrixRowMap(),
block_W->ColMap());
overlapImporter = new Epetra_Import(solutionOverlap->Map(), block_x->Map());
*/
// Load initial guess into block solution vector
solution_init = Teuchos::rcp(new EpetraExt::BlockVector(*block_x));
if(longlong) {
#ifndef EPETRA_NO_64BIT_GLOBAL_INDICES
for (int i=0; i < timeStepsOnTimeDomain; i++)
solution_init->LoadBlockValues(*(initGuessVec_[i]), (*rowIndex_LL)[i]);
#endif
}
else {
#ifndef EPETRA_NO_32BIT_GLOBAL_INDICES
for (int i=0; i < timeStepsOnTimeDomain; i++)
solution_init->LoadBlockValues(*(initGuessVec_[i]), (*rowIndex_int)[i]);
#endif
}
//Prepare logic for matching problem
if (Teuchos::is_null(matching_vec)) matchingProblem = false;
else matchingProblem = true;
if (matchingProblem) {
TEUCHOS_TEST_FOR_EXCEPT(as<int>(matching_vec->size())!=timeStepsOnTimeDomain);
TEUCHOS_TEST_FOR_EXCEPT(!(*matching_vec)[0]->Map().SameAs(*(underlyingME_->get_g_map(0))));
TEUCHOS_TEST_FOR_EXCEPT(num_g0 != 1); //This restriction may be lifted later
}
}
void EpetraExt::MultiPointModelEvaluator::evalModel( const InArgs& inArgs,
const OutArgs& outArgs ) const
{
EpetraExt::ModelEvaluator::InArgs underlyingInArgs = underlyingME->createInArgs();
EpetraExt::ModelEvaluator::OutArgs underlyingOutArgs = underlyingME->createOutArgs();
//temp code for multipoint param q vec
/*
Teuchos::RefCountPtr<Epetra_Vector> q =
Teuchos::rcp(new Epetra_Vector(*(underlyingME->get_p_map(1))));
*/
// Parse InArgs
Teuchos::RefCountPtr<const Epetra_Vector> p_in = inArgs.get_p(0);
if (p_in.get()) underlyingInArgs.set_p(0, p_in);
Teuchos::RefCountPtr<const Epetra_Vector> x_in = inArgs.get_x();
block_x->Epetra_Vector::operator=(*x_in); //copy into block vector
// Parse OutArgs
Teuchos::RefCountPtr<Epetra_Vector> f_out = outArgs.get_f();
Teuchos::RefCountPtr<Epetra_Operator> W_out = outArgs.get_W();
Teuchos::RefCountPtr<EpetraExt::BlockCrsMatrix> W_block =
Teuchos::rcp_dynamic_cast<EpetraExt::BlockCrsMatrix>(W_out);
Teuchos::RefCountPtr<Epetra_Vector> g_out;
if (underlyingNg) g_out = outArgs.get_g(0);
if (g_out.get()) g_out->PutScalar(0.0);
EpetraExt::ModelEvaluator::Derivative DfDp_out = outArgs.get_DfDp(0);
EpetraExt::ModelEvaluator::Derivative DgDx_out;
EpetraExt::ModelEvaluator::Derivative DgDp_out;
if (underlyingNg) {
DgDx_out = outArgs.get_DgDx(0);
DgDp_out = outArgs.get_DgDp(0,0);
if (!DgDx_out.isEmpty()) DgDx_out.getMultiVector()->PutScalar(0.0);
if (!DgDp_out.isEmpty()) DgDp_out.getMultiVector()->PutScalar(0.0);
}
// For mathcingProblems, g is needed to calc DgDx DgDp, so ask for
// g even if it isn't requested.
bool need_g = g_out.get();
if (matchingProblem)
if ( !DgDx_out.isEmpty() || !DgDp_out.isEmpty() ) need_g = true;
// Begin loop over Points (steps) owned on this proc
for (int i=0; i < timeStepsOnTimeDomain; i++) {
// Set MultiPoint parameter vector
underlyingInArgs.set_p(1, (*q_vec)[i]);
// Set InArgs
if(longlong) {
#ifndef EPETRA_NO_64BIT_GLOBAL_INDICES
block_x->ExtractBlockValues(*split_x, (*rowIndex_LL)[i]);
#endif
}
else {
#ifndef EPETRA_NO_32BIT_GLOBAL_INDICES
block_x->ExtractBlockValues(*split_x, (*rowIndex_int)[i]);
#endif
}
underlyingInArgs.set_x(split_x);
// Set OutArgs
if (f_out.get()) underlyingOutArgs.set_f(split_f);
if (need_g) underlyingOutArgs.set_g(0, split_g);
if (W_out.get()) underlyingOutArgs.set_W(split_W);
if (!DfDp_out.isEmpty()) underlyingOutArgs.set_DfDp(0, *deriv_DfDp);
if (!DgDx_out.isEmpty()) underlyingOutArgs.set_DgDx(0, *deriv_DgDx);
if (!DgDp_out.isEmpty()) underlyingOutArgs.set_DgDp(0, 0, *deriv_DgDp);
//********Eval Model ********/
underlyingME->evalModel(underlyingInArgs, underlyingOutArgs);
//********Eval Model ********/
// If matchingProblem, modify all g-related quantitites G = 0.5*(g-g*)^2 / g*^2
if (matchingProblem) {
if (need_g) {
double diff = (*split_g)[0] - (*(*matching_vec)[i])[0];
double nrmlz = fabs((*(*matching_vec)[i])[0]) + 1.0e-6;
(*split_g)[0] = 0.5 * diff * diff/(nrmlz*nrmlz);
if (!DgDx_out.isEmpty()) split_DgDx->Scale(diff/(nrmlz*nrmlz));
if (!DgDp_out.isEmpty()) split_DgDp->Scale(diff/(nrmlz*nrmlz));
}
}
// Repackage block components into global block matrx/vector/multivector
if(longlong) {
#ifndef EPETRA_NO_64BIT_GLOBAL_INDICES
if (f_out.get()) block_f->LoadBlockValues(*split_f, (*rowIndex_LL)[i]);
if (W_out.get()) W_block->LoadBlock(*split_W, i, 0);
// note: split_DfDp points inside deriv_DfDp
if (!DfDp_out.isEmpty()) block_DfDp->LoadBlockValues(*split_DfDp, (*rowIndex_LL)[i]);
if (!DgDx_out.isEmpty()) block_DgDx->LoadBlockValues(*split_DgDx, (*rowIndex_LL)[i]);
#endif
}
else {
#ifndef EPETRA_NO_32BIT_GLOBAL_INDICES
if (f_out.get()) block_f->LoadBlockValues(*split_f, (*rowIndex_int)[i]);
if (W_out.get()) W_block->LoadBlock(*split_W, i, 0);
// note: split_DfDp points inside deriv_DfDp
if (!DfDp_out.isEmpty()) block_DfDp->LoadBlockValues(*split_DfDp, (*rowIndex_int)[i]);
if (!DgDx_out.isEmpty()) block_DgDx->LoadBlockValues(*split_DgDx, (*rowIndex_int)[i]);
#endif
}
// Assemble multiple steps on this domain into g and dgdp(0) vectors
if (g_out.get()) g_out->Update(1.0, *split_g, 1.0);
if (!DgDp_out.isEmpty())
DgDp_out.getMultiVector()->Update(1.0, *split_DgDp, 1.0);
} // End loop over multiPoint steps on this domain/cluster
//Copy block vectors into *_out vectors of same size
if (f_out.get()) f_out->operator=(*block_f);
if (!DfDp_out.isEmpty())
DfDp_out.getMultiVector()->operator=(*block_DfDp);
if (!DgDx_out.isEmpty())
DgDx_out.getMultiVector()->operator=(*block_DgDx);
//Sum together obj fn contributions from differnt Domains (clusters).
if (numTimeDomains > 1) {
double factorToZeroOutCopies = 0.0;
if (globalComm->SubDomainComm().MyPID()==0) factorToZeroOutCopies = 1.0;
if (g_out.get()) {
(*g_out).Scale(factorToZeroOutCopies);
double* vPtr = &((*g_out)[0]);
Epetra_Vector tmp = *(g_out.get());
globalComm->SumAll( &(tmp[0]), vPtr, num_g0);
}
if (!DgDp_out.isEmpty()) {
DgDp_out.getMultiVector()->Scale(factorToZeroOutCopies);
double* mvPtr = (*DgDp_out.getMultiVector())[0];
Epetra_MultiVector tmp = *(DgDp_out.getMultiVector());
globalComm->SumAll(tmp[0], mvPtr, num_dg0dp0);
}
}
}
int main(int argc, char *argv[]) {
int status=0; // 0 = pass, failures are incremented
bool success = true;
Teuchos::GlobalMPISession mpiSession(&argc,&argv);
using Teuchos::RCP;
using Teuchos::rcp;
RCP<Teuchos::FancyOStream> out(Teuchos::VerboseObjectBase::getDefaultOStream());
//***********************************************************
// Command-line argument for input file
//***********************************************************
std::string xmlfilename_coupled;
if(argc > 1){
if(!strcmp(argv[1],"--help")){
std::cout << "albany [inputfile.xml]" << std::endl;
std::exit(1);
}
else
xmlfilename_coupled = argv[1];
}
else
xmlfilename_coupled = "input.xml";
try {
RCP<Teuchos::Time> totalTime =
Teuchos::TimeMonitor::getNewTimer("AlbanySG: ***Total Time***");
RCP<Teuchos::Time> setupTime =
Teuchos::TimeMonitor::getNewTimer("AlbanySG: Setup Time");
Teuchos::TimeMonitor totalTimer(*totalTime); //start timer
//***********************************************************
// Set up coupled solver first to setup comm's
//***********************************************************
Teuchos::RCP<Epetra_Comm> globalComm =
Albany::createEpetraCommFromMpiComm(Albany_MPI_COMM_WORLD);
Albany::SolverFactory coupled_slvrfctry(xmlfilename_coupled,
Albany_MPI_COMM_WORLD);
Teuchos::ParameterList& coupledParams = coupled_slvrfctry.getParameters();
Teuchos::ParameterList& coupledSystemParams =
coupledParams.sublist("Coupled System");
Teuchos::Array<std::string> model_filenames =
coupledSystemParams.get<Teuchos::Array<std::string> >("Model XML Files");
int num_models = model_filenames.size();
Teuchos::Array< RCP<Albany::Application> > apps(num_models);
Teuchos::Array< RCP<EpetraExt::ModelEvaluator> > models(num_models);
Teuchos::Array< RCP<Teuchos::ParameterList> > piroParams(num_models);
Teuchos::RCP< Teuchos::ParameterList> coupledPiroParams =
Teuchos::rcp(&(coupledParams.sublist("Piro")),false);
Teuchos::RCP<Piro::Epetra::StokhosSolver> coupledSolver =
Teuchos::rcp(new Piro::Epetra::StokhosSolver(coupledPiroParams,
globalComm));
Teuchos::RCP<const Epetra_Comm> app_comm = coupledSolver->getSpatialComm();
// Set up each model
Teuchos::Array< Teuchos::RCP<NOX::Epetra::Observer> > observers(num_models);
for (int m=0; m<num_models; m++) {
Albany::SolverFactory slvrfctry(
model_filenames[m],
Albany::getMpiCommFromEpetraComm(*app_comm));
models[m] = slvrfctry.createAlbanyAppAndModel(apps[m], app_comm);
Teuchos::ParameterList& appParams = slvrfctry.getParameters();
piroParams[m] = Teuchos::rcp(&(appParams.sublist("Piro")),false);
observers[m] = Teuchos::rcp(new Albany_NOXObserver(apps[m]));
}
// Setup network model
std::string network_name =
coupledSystemParams.get("Network Model", "Param To Response");
RCP<Piro::Epetra::AbstractNetworkModel> network_model;
if (network_name == "Param To Response")
network_model = rcp(new Piro::Epetra::ParamToResponseNetworkModel);
else if (network_name == "Reactor Network")
network_model = rcp(new Albany::ReactorNetworkModel(1));
else
TEUCHOS_TEST_FOR_EXCEPTION(
true, std::logic_error, "Invalid network model name " << network_name);
RCP<EpetraExt::ModelEvaluator> coupledModel =
rcp(new Piro::Epetra::NECoupledModelEvaluator(models, piroParams,
network_model,
coupledPiroParams,
globalComm,
observers));
coupledSolver->setup(coupledModel);
// Solve coupled system
EpetraExt::ModelEvaluator::InArgs inArgs = coupledSolver->createInArgs();
EpetraExt::ModelEvaluator::OutArgs outArgs = coupledSolver->createOutArgs();
for (int i=0; i<inArgs.Np(); i++)
if (inArgs.supports(EpetraExt::ModelEvaluator::IN_ARG_p_sg, i))
inArgs.set_p_sg(i, coupledSolver->get_p_sg_init(i));
for (int i=0; i<outArgs.Ng(); i++)
if (outArgs.supports(EpetraExt::ModelEvaluator::OUT_ARG_g_sg, i)) {
RCP<Stokhos::EpetraVectorOrthogPoly> g_sg =
coupledSolver->create_g_sg(i);
outArgs.set_g_sg(i, g_sg);
}
coupledSolver->evalModel(inArgs, outArgs);
// Print results
bool printResponse =
coupledSystemParams.get("Print Response Expansion", true);
int idx = outArgs.Ng()-1;
Teuchos::RCP<Stokhos::EpetraVectorOrthogPoly> g_sg =
outArgs.get_g_sg(idx);
Teuchos::RCP<Stokhos::SGModelEvaluator> sg_model =
coupledSolver->get_sg_model();
Teuchos::RCP<Stokhos::EpetraVectorOrthogPoly> g_sg_local =
//sg_model->import_solution_poly(*(g_sg->getBlockVector()));
g_sg;
Epetra_Vector g_mean(*(g_sg->coefficientMap()));
Epetra_Vector g_std_dev(*(g_sg->coefficientMap()));
g_sg->computeMean(g_mean);
g_sg->computeStandardDeviation(g_std_dev);
RCP<Epetra_Vector> g_mean_local = rcp(&g_mean,false);
RCP<Epetra_Vector> g_std_dev_local = rcp(&g_std_dev,false);
if (g_mean.Map().DistributedGlobal()) {
Epetra_LocalMap local_map(g_mean.GlobalLength(), 0,
g_mean.Map().Comm());
g_mean_local = rcp(new Epetra_Vector(local_map));
g_std_dev_local = rcp(new Epetra_Vector(local_map));
Epetra_Import importer(local_map, g_mean.Map());
g_mean_local->Import(g_mean, importer, Insert);
g_std_dev_local->Import(g_std_dev, importer, Insert);
}
out->precision(16);
*out << std::endl
<< "Final value of coupling variables:" << std::endl
<< "Mean:" << std::endl << *g_mean_local << std::endl
<< "Std. Dev.:" << std::endl << *g_std_dev_local << std::endl;
if (printResponse)
*out << "PCE:" << std::endl << *g_sg_local << std::endl;
status += coupled_slvrfctry.checkSGTestResults(
0,
g_sg_local,
g_mean_local.get(),
g_std_dev_local.get());
*out << "\nNumber of Failed Comparisons: " << status << std::endl;
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(true, std::cerr, success);
if (!success) status+=10000;
Teuchos::TimeMonitor::summarize(*out,false,true,false/*zero timers*/);
return status;
}
Piro::Epetra::NOXSolver::NOXSolver(
Teuchos::RCP<Teuchos::ParameterList> piroParams_,
Teuchos::RCP<EpetraExt::ModelEvaluator> model_,
Teuchos::RCP<NOX::Epetra::Observer> observer_,
Teuchos::RCP<NOX::Epetra::ModelEvaluatorInterface> custom_interface,
Teuchos::RCP<NOX::Epetra::LinearSystem> custom_linsys
) :
piroParams(piroParams_),
model(model_),
observer(observer_),
utils(piroParams->sublist("NOX").sublist("Printing"))
{
Teuchos::RCP<Teuchos::ParameterList> noxParams =
Teuchos::rcp(&(piroParams->sublist("NOX")),false);
Teuchos::ParameterList& printParams = noxParams->sublist("Printing");
std::string jacobianSource = piroParams->get("Jacobian Operator", "Have Jacobian");
bool leanMatrixFree = piroParams->get("Lean Matrix Free",false);
Teuchos::ParameterList& noxstratlsParams = noxParams->
sublist("Direction").sublist("Newton").sublist("Stratimikos Linear Solver");
// Inexact Newton must be set in a second sublist when using
// Stratimikos: This code snippet sets it automatically
bool inexact = (noxParams->sublist("Direction").sublist("Newton").
get("Forcing Term Method", "Constant") != "Constant");
if (inexact)
noxstratlsParams.sublist("NOX Stratimikos Options").
set("Use Linear Solve Tolerance From NOX", inexact);
if (jacobianSource == "Matrix-Free") {
if (piroParams->isParameter("Matrix-Free Perturbation")) {
model = Teuchos::rcp(new Piro::Epetra::MatrixFreeDecorator(model,
piroParams->get<double>("Matrix-Free Perturbation")));
}
else model = Teuchos::rcp(new Piro::Epetra::MatrixFreeDecorator(model));
}
// Grab some modelEval stuff from underlying model
EpetraExt::ModelEvaluator::InArgs inargs = model->createInArgs();
num_p = inargs.Np();
EpetraExt::ModelEvaluator::OutArgs outargs = model->createOutArgs();
num_g = outargs.Ng();
// Create initial guess
Teuchos::RCP<const Epetra_Vector> u = model->get_x_init();
currentSolution = Teuchos::rcp(new NOX::Epetra::Vector(*u));
// Create NOX interface from model evaluator
if (custom_interface != Teuchos::null)
interface = custom_interface;
else
interface = Teuchos::rcp(new NOX::Epetra::ModelEvaluatorInterface(model));
Teuchos::RCP<NOX::Epetra::Interface::Required> iReq = interface;
// Create the Jacobian matrix (unless flag is set to do it numerically)
Teuchos::RCP<Epetra_Operator> A;
Teuchos::RCP<NOX::Epetra::Interface::Jacobian> iJac;
if (jacobianSource == "Have Jacobian" || jacobianSource == "Matrix-Free") {
A = model->create_W();
iJac = interface;
}
else if (jacobianSource == "Finite Difference") {
A = Teuchos::rcp(new NOX::Epetra::FiniteDifference(printParams,
iReq, *currentSolution));
iJac = Teuchos::rcp_dynamic_cast<NOX::Epetra::Interface::Jacobian>(A);
}
else
TEUCHOS_TEST_FOR_EXCEPTION(true, Teuchos::Exceptions::InvalidParameter,
"Error in Piro::Epetra::NOXSolver " <<
"Invalid value for parameter \" Jacobian Operator\"= " <<
jacobianSource << std::endl);
// Create separate preconditioner if the model supports it
/* NOTE: How do we want to decide between using an
* available preconditioner: (1) If the model supports
* it, then we use it, or (2) if a parameter list says
* User_Defined ? [Below, logic is ooption (1).]
*/
Teuchos::RCP<EpetraExt::ModelEvaluator::Preconditioner> WPrec;
if (outargs.supports(EpetraExt::ModelEvaluator::OUT_ARG_WPrec))
WPrec = model->create_WPrec();
// Create the linear system
if (custom_linsys != Teuchos::null)
linsys = custom_linsys;
else {
if (WPrec != Teuchos::null) {
Teuchos::RCP<NOX::Epetra::Interface::Preconditioner> iPrec = interface;
linsys = Teuchos::rcp(new NOX::Epetra::LinearSystemStratimikos(
printParams,
noxstratlsParams, iJac, A, iPrec, WPrec->PrecOp,
*currentSolution, WPrec->isAlreadyInverted));
}
else {
linsys = Teuchos::rcp(new NOX::Epetra::LinearSystemStratimikos(
printParams,
noxstratlsParams, iJac, A, *currentSolution));
}
}
// Build NOX group
grp = Teuchos::rcp(new NOX::Epetra::Group(printParams, iReq,
*currentSolution, linsys));
// Saves one resid calculation per solve, but not as safe
if (leanMatrixFree) grp->disableLinearResidualComputation(true);
// Create the Solver convergence test
Teuchos::ParameterList& statusParams = noxParams->sublist("Status Tests");
Teuchos::RCP<NOX::StatusTest::Generic> statusTests =
NOX::StatusTest::buildStatusTests(statusParams, utils);
// Create the solver
solver = NOX::Solver::buildSolver(grp, statusTests, noxParams);
// Create transpose linear solver
Teuchos::RCP<LOCA::Abstract::Factory> epetraFactory =
Teuchos::rcp(new LOCA::Epetra::Factory);
globalData = LOCA::createGlobalData(piroParams, epetraFactory);
LOCA::Epetra::TransposeLinearSystem::Factory tls_factory(globalData);
tls_strategy = tls_factory.create(piroParams, linsys);
}
