void
Albany::SamplingBasedScalarResponseFunction::
evaluateSGResponse(
const double curr_time,
const Stokhos::EpetraVectorOrthogPoly* sg_xdot,
const Stokhos::EpetraVectorOrthogPoly* sg_xdotdot,
const Stokhos::EpetraVectorOrthogPoly& sg_x,
const Teuchos::Array<ParamVec>& p,
const Teuchos::Array<int>& sg_p_index,
const Teuchos::Array< Teuchos::Array<SGType> >& sg_p_vals,
Stokhos::EpetraVectorOrthogPoly& sg_g)
{
RCP<const Epetra_BlockMap> x_map = sg_x.coefficientMap();
RCP<Epetra_Vector> xdot;
if (sg_xdot != NULL)
xdot = rcp(new Epetra_Vector(*x_map));
RCP<Epetra_Vector> xdotdot;
if (sg_xdotdot != NULL)
xdotdot = rcp(new Epetra_Vector(*x_map));
Epetra_Vector x(*x_map);
Teuchos::Array<ParamVec> pp = p;
RCP<const Epetra_BlockMap> g_map = sg_g.coefficientMap();
Epetra_Vector g(*g_map);
// Get quadrature data
const Teuchos::Array<double>& norms = basis->norm_squared();
const Teuchos::Array< Teuchos::Array<double> >& points =
quad->getQuadPoints();
const Teuchos::Array<double>& weights = quad->getQuadWeights();
const Teuchos::Array< Teuchos::Array<double> >& vals =
quad->getBasisAtQuadPoints();
int nqp = points.size();
// Compute sg_g via quadrature
sg_g.init(0.0);
SGConverter c(this, commT);
for (int qp=0; qp<nqp; qp++) {
// Evaluate sg_x, sg_xdot at quadrature point
sg_x.evaluate(vals[qp], x);
if (sg_xdot != NULL)
sg_xdot->evaluate(vals[qp], *xdot);
if (sg_xdotdot != NULL)
sg_xdotdot->evaluate(vals[qp], *xdotdot);
// Evaluate parameters at quadrature point
for (int i=0; i<sg_p_index.size(); i++) {
int ii = sg_p_index[i];
for (unsigned int j=0; j<pp[ii].size(); j++)
pp[ii][j].baseValue = sg_p_vals[ii][j].evaluate(points[qp], vals[qp]);
}
// Compute response at quadrature point
c.evaluateResponse(curr_time, xdot.get(), xdotdot.get(), x, pp, g);
// Add result into integral
sg_g.sumIntoAllTerms(weights[qp], vals[qp], norms, g);
}
}
bool
Albany::KLResponseFunction::
computeKL(const Stokhos::EpetraVectorOrthogPoly& sg_u,
const int NumKL,
Teuchos::Array<double>& evals,
Teuchos::RCP<Epetra_MultiVector>& evecs)
{
Teuchos::RCP<const EpetraExt::BlockVector> X_ov = sg_u.getBlockVector();
//App_sg->get_sg_model()->import_solution( *(sg_u->getBlockVector()) );
//Teuchos::RCP<const EpetraExt::BlockVector> cX_ov = X_ov;
// pceKL is object with member functions that explicitly call anasazi
Stokhos::PCEAnasaziKL pceKL(X_ov, *(sg_u.basis()), NumKL);
// Set parameters for anasazi
Teuchos::ParameterList& anasazi_params =
responseParams.sublist("Anasazi");
Teuchos::ParameterList default_params = pceKL.getDefaultParams();
anasazi_params.setParametersNotAlreadySet(default_params);
// Self explanatory
bool result = pceKL.computeKL(anasazi_params);
// Retrieve evals/evectors into return argument slots...
evals = pceKL.getEigenvalues();
evecs = pceKL.getEigenvectors();
return result;
}
void
Albany::SolutionAverageResponseFunction::
evaluateSGGradient(
const double current_time,
const Stokhos::EpetraVectorOrthogPoly* sg_xdot,
const Stokhos::EpetraVectorOrthogPoly& sg_x,
const Teuchos::Array<ParamVec>& p,
const Teuchos::Array<int>& sg_p_index,
const Teuchos::Array< Teuchos::Array<SGType> >& sg_p_vals,
ParamVec* deriv_p,
Stokhos::EpetraVectorOrthogPoly* sg_g,
Stokhos::EpetraMultiVectorOrthogPoly* sg_dg_dx,
Stokhos::EpetraMultiVectorOrthogPoly* sg_dg_dxdot,
Stokhos::EpetraMultiVectorOrthogPoly* sg_dg_dp)
{
// Evaluate response g
if (sg_g != NULL)
for (int i=0; i<sg_x.size(); i++)
sg_x[i].MeanValue(&(*sg_g)[i][0]);
// Evaluate dg/dx
if (sg_dg_dx != NULL)
(*sg_dg_dx)[0].PutScalar(1.0 / sg_x[0].GlobalLength());
// Evaluate dg/dxdot
if (sg_dg_dxdot != NULL)
sg_dg_dxdot->init(0.0);
// Evaluate dg/dp
if (sg_dg_dp != NULL)
sg_dg_dp->init(0.0);
}
/** Copy from an adaptive vector to a set of blocked vectors
*/
void Stokhos::AdaptivityManager::copyFromAdaptiveVector(const Epetra_Vector & x,Stokhos::EpetraVectorOrthogPoly & x_sg) const
{
int numBlocks = x_sg.size();
Teuchos::RCP<EpetraExt::BlockVector> x_sg_bv = x_sg.getBlockVector();
// zero out determinstic vectors
for(int blk=0;blk<numBlocks;blk++)
x_sg_bv->GetBlock(blk)->PutScalar(0.0);
// copy from adapted vector to deterministic
for(std::size_t i=0;i<sg_basis_row_dof_.size();i++) {
int P_i = getRowStochasticBasisSize(i);
int localId = rowMap_->LID(getGlobalRowId(i,0));
for(int j=0;j<P_i;j++,localId++) {
int blk = sg_master_basis_->index(sg_basis_row_dof_[i]->term(j));
x_sg_bv->GetBlock(blk)->operator[](i) = x[localId];
}
}
}
void
Albany::SolutionAverageResponseFunction::
evaluateSGResponse(
const double current_time,
const Stokhos::EpetraVectorOrthogPoly* sg_xdot,
const Stokhos::EpetraVectorOrthogPoly& sg_x,
const Teuchos::Array<ParamVec>& p,
const Teuchos::Array<int>& sg_p_index,
const Teuchos::Array< Teuchos::Array<SGType> >& sg_p_vals,
Stokhos::EpetraVectorOrthogPoly& sg_g)
{
for (int i=0; i<sg_x.size(); i++)
sg_x[i].MeanValue(&sg_g[i][0]);
}
/** Copy to an adaptive vector from a set of blocked vectors
*/
void Stokhos::AdaptivityManager::copyToAdaptiveVector(const Stokhos::EpetraVectorOrthogPoly & x_sg,Epetra_Vector & x) const
{
Teuchos::RCP<const EpetraExt::BlockVector> x_sg_bv = x_sg.getBlockVector();
// copy from adapted vector to deterministic
for(std::size_t i=0;i<sg_basis_row_dof_.size();i++) {
int P_i = getRowStochasticBasisSize(i);
int localId = rowMap_->LID(getGlobalRowId(i,0));
for(int j=0;j<P_i;j++,localId++) {
int blk = sg_master_basis_->index(sg_basis_row_dof_[i]->term(j));
x[localId] = x_sg_bv->GetBlock(blk)->operator[](i);
}
}
}
void
Albany::SolutionResponseFunction::
evaluateSGResponse(const double curr_time,
const Stokhos::EpetraVectorOrthogPoly* sg_xdot,
const Stokhos::EpetraVectorOrthogPoly* sg_xdotdot,
const Stokhos::EpetraVectorOrthogPoly& sg_x,
const Teuchos::Array<ParamVec>& p,
const Teuchos::Array<int>& sg_p_index,
const Teuchos::Array< Teuchos::Array<SGType> >& sg_p_vals,
Stokhos::EpetraVectorOrthogPoly& sg_g)
{
// Note that by doing the culling this way, instead of importing into
// sg_g directly using a product importer, it doesn't really matter that
// the product maps between sg_x and sg_g aren't consistent
for (int i=0; i<sg_g.size(); i++)
cullSolution(sg_x[i], sg_g[i]);
}
void
Albany::SolutionAverageResponseFunction::
evaluateSGTangent(
const double alpha,
const double beta,
const double omega,
const double current_time,
bool sum_derivs,
const Stokhos::EpetraVectorOrthogPoly* sg_xdot,
const Stokhos::EpetraVectorOrthogPoly* sg_xdotdot,
const Stokhos::EpetraVectorOrthogPoly& sg_x,
const Teuchos::Array<ParamVec>& p,
const Teuchos::Array<int>& sg_p_index,
const Teuchos::Array< Teuchos::Array<SGType> >& sg_p_vals,
ParamVec* deriv_p,
const Epetra_MultiVector* Vx,
const Epetra_MultiVector* Vxdot,
const Epetra_MultiVector* Vxdotdot,
const Epetra_MultiVector* Vp,
Stokhos::EpetraVectorOrthogPoly* sg_g,
Stokhos::EpetraMultiVectorOrthogPoly* sg_JV,
Stokhos::EpetraMultiVectorOrthogPoly* sg_gp)
{
// Evaluate response g
if (sg_g != NULL)
for (int i=0; i<sg_x.size(); i++)
sg_x[i].MeanValue(&(*sg_g)[i][0]);
// Evaluate tangent of g = dg/dx*Vx + dg/dxdot*Vxdot + dg/dp*Vp
// If Vx == NULL, Vx is the identity
if (sg_JV != NULL) {
sg_JV->init(0.0);
if (Vx != NULL)
for (int j=0; j<Vx->NumVectors(); j++)
(*Vx)(j)->MeanValue(&(*sg_JV)[0][j][0]);
else
(*sg_JV)[0].PutScalar(alpha/sg_x[0].GlobalLength());
}
if (sg_gp != NULL)
sg_gp->init(0.0);
}
void
Albany::SamplingBasedScalarResponseFunction::
evaluateSGGradient(
const double current_time,
const Stokhos::EpetraVectorOrthogPoly* sg_xdot,
const Stokhos::EpetraVectorOrthogPoly* sg_xdotdot,
const Stokhos::EpetraVectorOrthogPoly& sg_x,
const Teuchos::Array<ParamVec>& p,
const Teuchos::Array<int>& sg_p_index,
const Teuchos::Array< Teuchos::Array<SGType> >& sg_p_vals,
ParamVec* deriv_p,
Stokhos::EpetraVectorOrthogPoly* sg_g,
Stokhos::EpetraMultiVectorOrthogPoly* sg_dg_dx,
Stokhos::EpetraMultiVectorOrthogPoly* sg_dg_dxdot,
Stokhos::EpetraMultiVectorOrthogPoly* sg_dg_dxdotdot,
Stokhos::EpetraMultiVectorOrthogPoly* sg_dg_dp)
{
RCP<const Epetra_BlockMap> x_map = sg_x.coefficientMap();
RCP<Epetra_Vector> xdot;
if (sg_xdot != NULL)
xdot = rcp(new Epetra_Vector(*x_map));
RCP<Epetra_Vector> xdotdot;
if (sg_xdotdot != NULL)
xdotdot = rcp(new Epetra_Vector(*x_map));
Epetra_Vector x(*x_map);
Teuchos::Array<ParamVec> pp = p;
RCP<Epetra_Vector> g;
if (sg_g != NULL) {
sg_g->init(0.0);
g = rcp(new Epetra_Vector(*(sg_g->coefficientMap())));
}
RCP<Epetra_MultiVector> dg_dx;
if (sg_dg_dx != NULL) {
sg_dg_dx->init(0.0);
dg_dx = rcp(new Epetra_MultiVector(*(sg_dg_dx->coefficientMap()),
sg_dg_dx->numVectors()));
}
RCP<Epetra_MultiVector> dg_dxdot;
if (sg_dg_dxdot != NULL) {
sg_dg_dxdot->init(0.0);
dg_dxdot = rcp(new Epetra_MultiVector(*(sg_dg_dxdot->coefficientMap()),
sg_dg_dxdot->numVectors()));
}
RCP<Epetra_MultiVector> dg_dxdotdot;
if (sg_dg_dxdotdot != NULL) {
sg_dg_dxdotdot->init(0.0);
dg_dxdotdot = rcp(new Epetra_MultiVector(*(sg_dg_dxdotdot->coefficientMap()),
sg_dg_dxdotdot->numVectors()));
}
RCP<Epetra_MultiVector> dg_dp;
if (sg_dg_dp != NULL) {
sg_dg_dp->init(0.0);
dg_dp = rcp(new Epetra_MultiVector(*(sg_dg_dp->coefficientMap()),
sg_dg_dp->numVectors()));
}
// Get quadrature data
const Teuchos::Array<double>& norms = basis->norm_squared();
const Teuchos::Array< Teuchos::Array<double> >& points =
quad->getQuadPoints();
const Teuchos::Array<double>& weights = quad->getQuadWeights();
const Teuchos::Array< Teuchos::Array<double> >& vals =
quad->getBasisAtQuadPoints();
int nqp = points.size();
// Compute sg_g via quadrature
for (int qp=0; qp<nqp; qp++) {
// Evaluate sg_x, sg_xdot at quadrature point
sg_x.evaluate(vals[qp], x);
if (sg_xdot != NULL)
sg_xdot->evaluate(vals[qp], *xdot);
if (sg_xdotdot != NULL)
sg_xdotdot->evaluate(vals[qp], *xdotdot);
// Evaluate parameters at quadrature point
for (int i=0; i<sg_p_index.size(); i++) {
int ii = sg_p_index[i];
for (unsigned int j=0; j<pp[ii].size(); j++) {
pp[ii][j].baseValue = sg_p_vals[ii][j].evaluate(points[qp], vals[qp]);
if (deriv_p != NULL) {
for (unsigned int k=0; k<deriv_p->size(); k++)
if ((*deriv_p)[k].family->getName() == pp[ii][j].family->getName())
(*deriv_p)[k].baseValue = pp[ii][j].baseValue;
}
}
}
// Compute response at quadrature point
evaluateGradient(current_time, xdot.get(), xdotdot.get(), x, pp, deriv_p,
g.get(), dg_dx.get(), dg_dxdot.get(), dg_dxdotdot.get(), dg_dp.get());
// Add result into integral
if (sg_g != NULL)
sg_g->sumIntoAllTerms(weights[qp], vals[qp], norms, *g);
if (sg_dg_dx != NULL)
sg_dg_dx->sumIntoAllTerms(weights[qp], vals[qp], norms, *dg_dx);
if (sg_dg_dxdot != NULL)
sg_dg_dxdot->sumIntoAllTerms(weights[qp], vals[qp], norms, *dg_dxdot);
if (sg_dg_dxdotdot != NULL)
sg_dg_dxdotdot->sumIntoAllTerms(weights[qp], vals[qp], norms, *dg_dxdotdot);
if (sg_dg_dp != NULL)
sg_dg_dp->sumIntoAllTerms(weights[qp], vals[qp], norms, *dg_dp);
}
}