// *****************************************************************
// *****************************************************************
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::
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::
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;
}
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;
}
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;
}
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);
}
}
}