void
LOCA::Extended::MultiVector::multiply(
double alpha,
const LOCA::Extended::MultiVector& y,
NOX::Abstract::MultiVector::DenseMatrix& b) const
{
// Verify dimensions are consistent
if (y.numMultiVecRows != numMultiVecRows || y.numColumns != b.numRows() ||
y.numScalarRows != numScalarRows || numColumns != b.numCols())
globalData->locaErrorCheck->throwError(
"LOCA::Extended::MultiVector::multiply()",
"Size of supplied multivector/matrix is incompatible with this multivector");
// Zero out b
b.putScalar(0.0);
// Create temporary matrix to hold product for each multivec
NOX::Abstract::MultiVector::DenseMatrix tmp(b);
// Compute and sum products for each multivec
for (int i=0; i<numMultiVecRows; i++) {
multiVectorPtrs[i]->multiply(alpha, *(y.multiVectorPtrs[i]), tmp);
b += tmp;
}
// Compute and add in product for scalars
if (numScalarRows > 0)
b.multiply(Teuchos::TRANS, Teuchos::NO_TRANS, alpha, *y.scalarsPtr,
*scalarsPtr, 1.0);
}
void
LOCA::Homotopy::DeflatedGroup::
extractParameterComponent(bool use_transpose,
const NOX::Abstract::MultiVector& v,
NOX::Abstract::MultiVector::DenseMatrix& v_p) const
{
// cast v to an extended multi-vec
const LOCA::MultiContinuation::ExtendedMultiVector& mc_v =
dynamic_cast<const LOCA::MultiContinuation::ExtendedMultiVector&>(v);
// get solution and parameter components
Teuchos::RCP<const NOX::Abstract::MultiVector> mc_v_x =
mc_v.getXMultiVec();
Teuchos::RCP<const NOX::Abstract::MultiVector::DenseMatrix> mc_v_p =
mc_v.getScalars();
// If the underlying system isn't bordered, we're done
if (!isBordered) {
if (!use_transpose)
v_p.assign(*mc_v_p);
else
for (int j=0; j<v_p.numCols(); j++)
for (int i=0; i<v_p.numRows(); i++)
v_p(i,j) = (*mc_v_p)(j,i);
return;
}
int w = bordered_grp->getBorderedWidth();
if (!use_transpose) {
// Split v_p into 2 block rows, the top to store mc_v_x_p and the bottom
// to store mc_v_p
int num_cols = v_p.numCols();
NOX::Abstract::MultiVector::DenseMatrix v_p_1(Teuchos::View, v_p,
w, num_cols, 0, 0);
NOX::Abstract::MultiVector::DenseMatrix v_p_2(Teuchos::View, v_p,
1, num_cols, w, 0);
// Decompose mc_v_x
bordered_grp->extractParameterComponent(use_transpose,*mc_v_x, v_p_1);
v_p_2.assign(*mc_v_p);
}
else {
// Split v_p into 2 block columns, the first to store mc_v_x_p^t and the
// the second to store mc_v_p^T
int num_rows = v_p.numRows();
NOX::Abstract::MultiVector::DenseMatrix v_p_1(Teuchos::View, v_p,
num_rows, w, 0, 0);
NOX::Abstract::MultiVector::DenseMatrix v_p_2(Teuchos::View, v_p,
num_rows, 1, 0, w);
// Decompose mc_v_x
bordered_grp->extractParameterComponent(use_transpose,*mc_v_x, v_p_1);
for (int j=0; j<1; j++)
for (int i=0; i<num_rows; i++)
v_p_2(i,j) = (*mc_v_p)(j,i);
}
}
NOX::Abstract::Group::ReturnType
LOCA::MultiContinuation::CompositeConstraint::multiplyDX(
double alpha,
const NOX::Abstract::MultiVector& input_x,
NOX::Abstract::MultiVector::DenseMatrix& result_p) const
{
std::string callingFunction =
"LOCA::MultiContinuation::CompositeConstraint::multiplyDX()";
NOX::Abstract::Group::ReturnType status;
NOX::Abstract::Group::ReturnType finalStatus = NOX::Abstract::Group::Ok;
// If dg/dx is zero for every constraint, result_p is zero
if (isDXZero()) {
result_p.putScalar(0.0);
return finalStatus;
}
Teuchos::RCP<NOX::Abstract::MultiVector::DenseMatrix> result_p_sub;
int num_rows;
int num_cols = result_p.numCols();
for (int i=0; i<numConstraintObjects; i++) {
num_rows = constraintPtrs[i]->numConstraints();
// if dg/dx is zero for this constraint, set corresponding entries of
// result_p to zero
if (constraintPtrs[i]->isDXZero()) {
for (int j=0; j<num_rows; j++)
for (int k=0; k<num_cols; k++)
result_p(indices[i][j],k) = 0.0;
}
else {
// Create a sub view of rows indices[i][0] -- indices[i][end]
// of result_p
result_p_sub =
Teuchos::rcp(new NOX::Abstract::MultiVector::DenseMatrix(Teuchos::View,
result_p,
num_rows,
num_cols,
indices[i][0],
0));
status = constraintPtrs[i]->multiplyDX(alpha, input_x,
*result_p_sub);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(
status,
finalStatus,
callingFunction);
}
}
return finalStatus;
}
void
LOCA::BorderedSolver::HouseholderQR::applyCompactWY(
const NOX::Abstract::MultiVector::DenseMatrix& Y1,
const NOX::Abstract::MultiVector& Y2,
const NOX::Abstract::MultiVector::DenseMatrix& T,
NOX::Abstract::MultiVector::DenseMatrix& X1,
NOX::Abstract::MultiVector& X2,
bool isZeroX1, bool isZeroX2,
bool useTranspose) const
{
if (isZeroX1 && isZeroX2) {
X1.putScalar(0.0);
X2.init(0.0);
return;
}
int m = Y2.numVectors();
Teuchos::ETransp T_flag;
if (useTranspose)
T_flag = Teuchos::TRANS;
else
T_flag = Teuchos::NO_TRANS;
NOX::Abstract::MultiVector::DenseMatrix tmp(m, X2.numVectors());
// Compute Y1^T*X1 + Y2^T*X2
if (!isZeroX2)
X2.multiply(1.0, Y2, tmp);
// Opportunity for optimization here since Y1 is a lower-triangular
// matrix with unit diagonal
if (!isZeroX2 && !isZeroX1)
tmp.multiply(Teuchos::TRANS, Teuchos::NO_TRANS, 1.0, Y1, X1, 1.0);
else if (!isZeroX1)
tmp.multiply(Teuchos::TRANS, Teuchos::NO_TRANS, 1.0, Y1, X1, 0.0);
// Compute op(T)*(Y1^T*X1 + Y2^T*X2)
dblas.TRMM(Teuchos::LEFT_SIDE, Teuchos::UPPER_TRI, T_flag,
Teuchos::NON_UNIT_DIAG, tmp.numRows(), tmp.numCols(), 1.0,
T.values(), T.numRows(), tmp.values(), tmp.numRows());
// Compute X1 = X1 + Y1*op(T)*(Y1^T*X1 + Y2^T*X2)
// Opportunity for optimization here since Y1 is a lower-triangular
// matrix with unit diagonal
if (isZeroX1)
X1.multiply(Teuchos::NO_TRANS, Teuchos::NO_TRANS, 1.0, Y1, tmp, 0.0);
else
X1.multiply(Teuchos::NO_TRANS, Teuchos::NO_TRANS, 1.0, Y1, tmp, 1.0);
// Compute X2 = X2 + Y1*op(T)*(Y1^T*X1 + Y2^T*X2)
if (isZeroX2)
X2.update(Teuchos::NO_TRANS, 1.0, Y2, tmp, 0.0);
else
X2.update(Teuchos::NO_TRANS, 1.0, Y2, tmp, 1.0);
}
NOX::Abstract::Group::ReturnType
LOCA::BorderedSolver::Nested::applyInverseTranspose(
Teuchos::ParameterList& params,
const NOX::Abstract::MultiVector* F,
const NOX::Abstract::MultiVector::DenseMatrix* G,
NOX::Abstract::MultiVector& X,
NOX::Abstract::MultiVector::DenseMatrix& Y) const
{
bool isZeroF = (F == NULL);
bool isZeroG = (G == NULL);
if (isZeroF && isZeroG) {
X.init(0.0);
Y.putScalar(0.0);
}
int num_cols = X.numVectors();
Teuchos::RCP<NOX::Abstract::MultiVector> FF;
if (!isZeroF)
FF = unbordered_grp->getX().createMultiVector(num_cols);
NOX::Abstract::MultiVector::DenseMatrix GG(myWidth, num_cols);
GG.putScalar(0.0);
if (!isZeroF) {
NOX::Abstract::MultiVector::DenseMatrix GG1(Teuchos::View, GG,
underlyingWidth, num_cols,
0, 0);
grp->extractSolutionComponent(*F, *FF);
grp->extractParameterComponent(false, *F, GG1);
}
if (!isZeroG) {
NOX::Abstract::MultiVector::DenseMatrix GG2(Teuchos::View, GG,
numConstraints, num_cols,
underlyingWidth, 0);
GG2.assign(*G);
}
Teuchos::RCP<NOX::Abstract::MultiVector> XX =
unbordered_grp->getX().createMultiVector(num_cols);
NOX::Abstract::MultiVector::DenseMatrix YY(myWidth, num_cols);
NOX::Abstract::MultiVector::DenseMatrix YY1(Teuchos::View, YY,
underlyingWidth, num_cols,
0, 0);
NOX::Abstract::MultiVector::DenseMatrix YY2(Teuchos::View, YY,
numConstraints, num_cols,
underlyingWidth, 0);
NOX::Abstract::Group::ReturnType status =
solver->applyInverseTranspose(params, FF.get(), &GG, *XX, YY);
Y.assign(YY2);
grp->loadNestedComponents(*XX, YY1, X);
return status;
}
NOX::Abstract::Group::ReturnType
LOCA::TurningPoint::MinimallyAugmented::Constraint::
computeDP(const std::vector<int>& paramIDs,
NOX::Abstract::MultiVector::DenseMatrix& dgdp,
bool isValidG)
{
std::string callingFunction =
"LOCA::TurningPoint::MinimallyAugmented::Constraint::computeDP()";
NOX::Abstract::Group::ReturnType status;
NOX::Abstract::Group::ReturnType finalStatus = NOX::Abstract::Group::Ok;
// Compute sigma, w and v if necessary
if (!isValidConstraints) {
status = computeConstraints();
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
}
// Compute -(w^T*J*v)_p
status = grpPtr->computeDwtJnDp(paramIDs, (*w_vector)[0], (*v_vector)[0],
dgdp, false);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
dgdp.scale(-1.0/sigma_scale);
// Set the first column of dgdp
dgdp(0,0) = constraints(0,0);
return finalStatus;
}
int
NOX::TestCompare::testMatrix(
const NOX::Abstract::MultiVector::DenseMatrix& mat,
const NOX::Abstract::MultiVector::DenseMatrix& mat_expected,
double rtol, double atol,
const std::string& name)
{
bool passed;
NOX::Abstract::MultiVector::DenseMatrix tmp(mat_expected.numRows(),
mat_expected.numCols());
for (int j=0; j<mat_expected.numCols(); j++)
for (int i=0; i<mat_expected.numRows(); i++)
tmp(i,j) = fabs(mat(i,j)-mat_expected(i,j)) /
(atol + rtol * fabs(mat_expected(i,j)));
double inf_norm = tmp.normInf();
if (inf_norm < 1)
passed = true;
else
passed = false;
if (utils.isPrintType(NOX::Utils::TestDetails)) {
os << std::endl
<< "\tChecking " << name << ": ";
if (passed)
os << "Passed." << std::endl;
else
os << "Failed." << std::endl;
os << "\t\tComputed norm: " << utils.sciformat(inf_norm)
<< std::endl
<< "\t\tRelative Tolerance: " << utils.sciformat(rtol)
<< std::endl
<< "\t\tAbsolute Tolerance: " << utils.sciformat(rtol)
<< std::endl;
}
if (passed)
return 0;
else
return 1;
}
LOCA::MultiContinuation::ExtendedMultiVector::ExtendedMultiVector(
const Teuchos::RCP<LOCA::GlobalData>& global_data,
const NOX::Abstract::MultiVector& xVec,
const NOX::Abstract::MultiVector::DenseMatrix& params) :
LOCA::Extended::MultiVector(global_data, xVec.numVectors(), 1,
params.numRows())
{
LOCA::Extended::MultiVector::setMultiVectorPtr(0, xVec.clone(NOX::DeepCopy));
LOCA::Extended::MultiVector::getScalars()->assign(params);
}
void
LOCA::BorderedSolver::HouseholderQR::computeHouseholderVector(
int col,
const NOX::Abstract::MultiVector::DenseMatrix& A1,
const NOX::Abstract::MultiVector& A2,
NOX::Abstract::MultiVector::DenseMatrix& V1,
NOX::Abstract::MultiVector& V2,
double& beta)
{
double houseP = A1(col,col);
V1(0,0) = 1.0;
V2[0] = A2[col];
double sigma = A2[col].innerProduct(A2[col]);
for (int i=col+1; i<A1.numRows(); i++)
sigma += A1(i,col)*A1(i,col);
if (sigma == 0.0)
beta = 0.0;
else {
double mu = sqrt(houseP*houseP + sigma);
if (houseP <= 0.0)
houseP = houseP - mu;
else
houseP = -sigma / (houseP + mu);
beta = 2.0*houseP*houseP/(sigma + houseP*houseP);
V2.scale(1.0/houseP);
for (int i=1; i<V1.numRows(); i++)
V1(i,0) = A1(i+col,col) / houseP;
}
return;
}
void
LOCA::Hopf::MinimallyAugmented::ExtendedGroup::
fillC(NOX::Abstract::MultiVector::DenseMatrix& C) const
{
string callingFunction =
"LOCA::Hopf::MinimallyAugmented::ExtendedGroup::fillC";
Teuchos::RCP<const NOX::Abstract::MultiVector::DenseMatrix> my_C =
dfdpMultiVec->getScalars();
// If the underlying system isn't bordered, we're done
if (!isBordered) {
C.assign(*my_C);
return;
}
Teuchos::RCP<const NOX::Abstract::MultiVector> my_B =
Teuchos::rcp(constraintsPtr->getDX(),false);
Teuchos::RCP<const NOX::Abstract::MultiVector> my_A =
dfdpMultiVec->getXMultiVec();
// Create views for underlying group
int w = bordered_grp->getBorderedWidth();
NOX::Abstract::MultiVector::DenseMatrix underlyingC(Teuchos::View, C,
w, w, 0, 0);
// Combine blocks in underlying group
bordered_grp->fillC(underlyingC);
// Create views for my blocks
NOX::Abstract::MultiVector::DenseMatrix my_A_p(Teuchos::View, C,
w, 2, 0, w);
NOX::Abstract::MultiVector::DenseMatrix my_B_p(Teuchos::View, C,
2, w, w, 0);
NOX::Abstract::MultiVector::DenseMatrix my_CC(Teuchos::View, C,
2, 2, w, w);
// Extract solution component from my_A and store in my_A_p
bordered_grp->extractParameterComponent(false, *my_A, my_A_p);
// Extract solution component from my_B and store in my_B_p
bordered_grp->extractParameterComponent(true, *my_B, my_B_p);
// Copy in my_C
my_CC.assign(*my_C);
}
void
LOCA::Homotopy::DeflatedGroup::
fillC(NOX::Abstract::MultiVector::DenseMatrix& C) const
{
string callingFunction =
"LOCA::Homotopy::DeflatedGroup::fillC";
Teuchos::RCP<const NOX::Abstract::MultiVector::DenseMatrix> my_C =
minusOne;
// If the underlying system isn't bordered, we're done
if (!isBordered) {
C.assign(*my_C);
return;
}
Teuchos::RCP<const NOX::Abstract::MultiVector> my_B =
totalDistMultiVec;
Teuchos::RCP<const NOX::Abstract::MultiVector> my_A =
underlyingF;
// Create views for underlying group
int w = bordered_grp->getBorderedWidth();
NOX::Abstract::MultiVector::DenseMatrix underlyingC(Teuchos::View, C,
w, w, 0, 0);
// Combine blocks in underlying group
bordered_grp->fillC(underlyingC);
// Create views for my blocks
NOX::Abstract::MultiVector::DenseMatrix my_A_p(Teuchos::View, C,
w, 1, 0, w);
NOX::Abstract::MultiVector::DenseMatrix my_B_p(Teuchos::View, C,
1, w, w, 0);
NOX::Abstract::MultiVector::DenseMatrix my_CC(Teuchos::View, C,
1, 1, w, w);
// Extract solution component from my_A and store in my_A_p
bordered_grp->extractParameterComponent(false, *my_A, my_A_p);
// Extract solution component from my_B and store in my_B_p
bordered_grp->extractParameterComponent(true, *my_B, my_B_p);
// Copy in my_C
my_CC.assign(*my_C);
}
NOX::Abstract::Group::ReturnType
LOCA::Hopf::MinimallyAugmented::Constraint::
computeDOmega(NOX::Abstract::MultiVector::DenseMatrix& domega)
{
string callingFunction =
"LOCA::Hopf::MinimallyAugmented::Constraint::computeDOmega()";
NOX::Abstract::Group::ReturnType status;
NOX::Abstract::Group::ReturnType finalStatus = NOX::Abstract::Group::Ok;
// Compute sigma, w and v if necessary
if (!isValidConstraints) {
status = computeConstraints();
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
}
// Compute mass matrix M
status = grpPtr->computeShiftedMatrix(0.0, 1.0);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
// Compute M*v
Teuchos::RCP<NOX::Abstract::MultiVector> tmp_vector =
v_vector->clone(NOX::ShapeCopy);
status = grpPtr->applyShiftedMatrixMultiVector(*v_vector, *tmp_vector);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
// Compute u^T*M*v
NOX::Abstract::MultiVector::DenseMatrix tmp_mat(2,2);
tmp_vector->multiply(1.0, *w_vector, tmp_mat);
// Compute domega
domega(0,0) = tmp_mat(0,1) - tmp_mat(1,0);
domega(1,0) = -(tmp_mat(0,0) + tmp_mat(1,1));
domega.scale(1.0/sigma_scale);
return finalStatus;
}
NOX::Abstract::Group::ReturnType
LOCA::MultiContinuation::ConstraintInterfaceMVDX::multiplyDX(
double alpha,
const NOX::Abstract::MultiVector& input_x,
NOX::Abstract::MultiVector::DenseMatrix& result_p) const
{
if (!isDXZero()) {
const NOX::Abstract::MultiVector* dgdx = getDX();
input_x.multiply(alpha, *dgdx, result_p);
}
else
result_p.putScalar(0.0);
return NOX::Abstract::Group::Ok;
}
NOX::Abstract::Group::ReturnType
LOCA::Hopf::MinimallyAugmented::Constraint::
computeDP(const vector<int>& paramIDs,
NOX::Abstract::MultiVector::DenseMatrix& dgdp,
bool isValidG)
{
string callingFunction =
"LOCA::Hopf::MinimallyAugmented::Constraint::computeDP()";
NOX::Abstract::Group::ReturnType status;
NOX::Abstract::Group::ReturnType finalStatus = NOX::Abstract::Group::Ok;
// Compute sigma, w and v if necessary
if (!isValidConstraints) {
status = computeConstraints();
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
}
// Compute -(w^T*J*v)_p
NOX::Abstract::MultiVector::DenseMatrix dgdp_real(Teuchos::View, dgdp,
1, paramIDs.size()+1,
0, 0);
NOX::Abstract::MultiVector::DenseMatrix dgdp_imag(Teuchos::View, dgdp,
1, paramIDs.size()+1,
1, 0);
status = grpPtr->computeDwtCeDp(paramIDs,
(*w_vector)[0], (*w_vector)[1],
(*v_vector)[0], (*v_vector)[1],
omega,
dgdp_real, dgdp_imag, false);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
dgdp.scale(-1.0/sigma_scale);
// Set the first column of dgdp
dgdp(0,0) = constraints(0,0);
dgdp(1,0) = constraints(1,0);
return finalStatus;
}
NOX::Abstract::Group::ReturnType
LOCA::BorderedSolver::Nested::applyTranspose(
const NOX::Abstract::MultiVector& X,
const NOX::Abstract::MultiVector::DenseMatrix& Y,
NOX::Abstract::MultiVector& U,
NOX::Abstract::MultiVector::DenseMatrix& V) const
{
int num_cols = X.numVectors();
Teuchos::RCP<NOX::Abstract::MultiVector> XX =
unbordered_grp->getX().createMultiVector(num_cols);
Teuchos::RCP<NOX::Abstract::MultiVector> UU =
unbordered_grp->getX().createMultiVector(num_cols);
NOX::Abstract::MultiVector::DenseMatrix YY(myWidth, num_cols);
NOX::Abstract::MultiVector::DenseMatrix VV(myWidth, num_cols);
NOX::Abstract::MultiVector::DenseMatrix YY1(Teuchos::View, YY,
underlyingWidth, num_cols,
0, 0);
NOX::Abstract::MultiVector::DenseMatrix YY2(Teuchos::View, YY,
numConstraints, num_cols,
underlyingWidth, 0);
NOX::Abstract::MultiVector::DenseMatrix VV1(Teuchos::View, VV,
underlyingWidth, num_cols,
0, 0);
NOX::Abstract::MultiVector::DenseMatrix VV2(Teuchos::View, VV,
numConstraints, num_cols,
underlyingWidth, 0);
grp->extractSolutionComponent(X, *XX);
grp->extractParameterComponent(false, X, YY1);
YY2.assign(Y);
NOX::Abstract::Group::ReturnType status =
solver->applyTranspose(*XX, YY, *UU, VV);
V.assign(VV2);
grp->loadNestedComponents(*UU, VV1, U);
return status;
}
// =============================================================================
// Compute result_p = alpha * dg/dx * input_x.
NOX::Abstract::Group::ReturnType
Ginla::FDM::Constraint::MinDist::
multiplyDX ( double alpha,
const NOX::Abstract::MultiVector & input_x,
NOX::Abstract::MultiVector::DenseMatrix & result_p
) const
{
TEUCHOS_ASSERT( komplex_.is_valid_ptr() && !komplex_.is_null() );
TEUCHOS_ASSERT_EQUALITY( result_p.numCols(), input_x.numVectors() );
for ( int k=0; k<input_x.numVectors(); k++ )
{
const Epetra_Vector & xE =
Teuchos::dyn_cast<const NOX::Epetra::Vector>( input_x[0] ).getEpetraVector();
Teuchos::RCP<ComplexVector> xPsi = komplex_->real2complex( xE );
result_p(0,k) = alpha * std::imag( psiRef_->dot(*xPsi) );
}
return NOX::Abstract::Group::Ok;
}
void
LOCA::BorderedSolver::HouseholderQR::applyCompactWY(
const NOX::Abstract::MultiVector::DenseMatrix& Y1,
const NOX::Abstract::MultiVector& Y2,
const NOX::Abstract::MultiVector::DenseMatrix& T,
const NOX::Abstract::MultiVector::DenseMatrix* input1,
const NOX::Abstract::MultiVector* input2,
NOX::Abstract::MultiVector::DenseMatrix& result1,
NOX::Abstract::MultiVector& result2,
bool useTranspose) const
{
bool isZeroX1 = (input1 == NULL);
bool isZeroX2 = (input2 == NULL);
if (!isZeroX1)
result1.assign(*input1);
if (!isZeroX2)
result2 = *input2;
applyCompactWY(Y1, Y2, T, result1, result2, isZeroX1, isZeroX2,
useTranspose);
}
void
LOCA::BorderedSolver::HouseholderQR::applyHouseholderVector(
const NOX::Abstract::MultiVector::DenseMatrix& V1,
const NOX::Abstract::MultiVector& V2,
double beta,
NOX::Abstract::MultiVector::DenseMatrix& A1,
NOX::Abstract::MultiVector& A2)
{
int nColsA = A2.numVectors();
// Compute u = V2^T * A2
NOX::Abstract::MultiVector::DenseMatrix u(1, nColsA);
A2.multiply(1.0, V2, u);
// Compute u = u + V1^T * A_P
u.multiply(Teuchos::TRANS, Teuchos::NO_TRANS, 1.0, V1, A1, 1.0);
// Compute A1 = A1 - b*V1*u
A1.multiply(Teuchos::NO_TRANS, Teuchos::NO_TRANS, -beta, V1, u, 1.0);
// Compute A2 = A2 - b*V2*u
A2.update(Teuchos::NO_TRANS, -beta, V2, u, 1.0);
}
void
LOCA::Homotopy::DeflatedGroup::
loadNestedComponents(const NOX::Abstract::MultiVector& v_x,
const NOX::Abstract::MultiVector::DenseMatrix& v_p,
NOX::Abstract::MultiVector& v) const
{
// cast X to an extended multi-vec
LOCA::MultiContinuation::ExtendedMultiVector& mc_v =
dynamic_cast<LOCA::MultiContinuation::ExtendedMultiVector&>(v);
// get solution and parameter components
Teuchos::RCP<NOX::Abstract::MultiVector> mc_v_x =
mc_v.getXMultiVec();
Teuchos::RCP<NOX::Abstract::MultiVector::DenseMatrix> mc_v_p =
mc_v.getScalars();
// If the underlying system isn't bordered, we're done
if (!isBordered) {
*mc_v_x = v_x;
mc_v_p->assign(v_p);
return;
}
// split v_p
int num_cols = v_p.numCols();
int w = bordered_grp->getBorderedWidth();
NOX::Abstract::MultiVector::DenseMatrix v_p_1(Teuchos::View, v_p,
w, num_cols, 0, 0);
NOX::Abstract::MultiVector::DenseMatrix v_p_2(Teuchos::View, v_p,
1, num_cols, w, 0);
// load v_x, v_p_1 into mc_v_x
bordered_grp->loadNestedComponents(v_x, v_p_1, *mc_v_x);
// load v_p_2 into mc_v_p
mc_v_p->assign(v_p_2);
}
NOX::Abstract::Group::ReturnType
LOCA::MultiContinuation::CompositeConstraint::computeDP(
const std::vector<int>& paramIDs,
NOX::Abstract::MultiVector::DenseMatrix& dgdp,
bool isValidG)
{
std::string callingFunction =
"LOCA::MultiContinuation::CompositeConstraint::computeDP()";
NOX::Abstract::Group::ReturnType status;
NOX::Abstract::Group::ReturnType finalStatus = NOX::Abstract::Group::Ok;
Teuchos::RCP<NOX::Abstract::MultiVector::DenseMatrix> dgdp_sub;
int num_rows;
int num_cols = dgdp.numCols();
for (int i=0; i<numConstraintObjects; i++) {
// Create a sub view of rows indices[i][0] -- indices[i][end] of dgdp
num_rows = indices[i][constraintPtrs[i]->numConstraints()-1] -
indices[i][0] + 1;
dgdp_sub =
Teuchos::rcp(new NOX::Abstract::MultiVector::DenseMatrix(Teuchos::View,
dgdp,
num_rows,
num_cols,
indices[i][0],
0));
status = constraintPtrs[i]->computeDP(paramIDs, *dgdp_sub, isValidG);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
}
return finalStatus;
}
void
NOX::Thyra::MultiVector::
multiply(double alpha,
const NOX::Abstract::MultiVector& y,
NOX::Abstract::MultiVector::DenseMatrix& b) const
{
const NOX::Thyra::MultiVector& yy =
dynamic_cast<const NOX::Thyra::MultiVector&>(y);
int m = b.numRows();
int n = b.numCols();
Teuchos::RCP< ::Thyra::MultiVectorBase<double> > bb =
::Thyra::createMembersView(
yy.thyraMultiVec->domain(),
RTOpPack::SubMultiVectorView<double>(0, m, 0, n,
Teuchos::arcp(b.values(), 0, b.stride()*b.numCols(), false),
b.stride()
)
);
::Thyra::apply(*yy.thyraMultiVec, ::Thyra::CONJTRANS, *thyraMultiVec,
bb.ptr(), alpha, 0.0);
}
void
LOCA::MultiContinuation::ConstrainedGroup::fillC(
NOX::Abstract::MultiVector::DenseMatrix& C) const
{
std::string callingFunction =
"LOCA::MultiContinuation::ConstrainedGroup::fillC";
Teuchos::RCP<const NOX::Abstract::MultiVector::DenseMatrix> my_C =
dfdpMultiVec->getScalars();
// If the underlying system isn't bordered, we're done
if (!isBordered) {
C.assign(*my_C);
return;
}
bool isZeroB = constraintsPtr->isDXZero();
Teuchos::RCP<const NOX::Abstract::MultiVector> my_B;
if (!isZeroB) {
Teuchos::RCP<const LOCA::MultiContinuation::ConstraintInterfaceMVDX> constraints_mvdx = Teuchos::rcp_dynamic_cast<const LOCA::MultiContinuation::ConstraintInterfaceMVDX>(constraintsPtr);
if (constraints_mvdx == Teuchos::null)
globalData->locaErrorCheck->throwError(
callingFunction,
std::string("Constraints object must be of type") +
std::string("ConstraintInterfaceMVDX"));
my_B = Teuchos::rcp(constraints_mvdx->getDX(),false);
}
Teuchos::RCP<const NOX::Abstract::MultiVector> my_A =
dfdpMultiVec->getXMultiVec();
// Create views for underlying group
int w = bordered_grp->getBorderedWidth();
NOX::Abstract::MultiVector::DenseMatrix underlyingC(Teuchos::View, C,
w, w, 0, 0);
// Combine blocks in underlying group
bordered_grp->fillC(underlyingC);
// Create views for my blocks
NOX::Abstract::MultiVector::DenseMatrix my_A_p(Teuchos::View, C,
w, numParams, 0, w);
NOX::Abstract::MultiVector::DenseMatrix my_B_p(Teuchos::View, C,
numParams, w, w, 0);
NOX::Abstract::MultiVector::DenseMatrix my_CC(Teuchos::View, C,
numParams, numParams, w, w);
// Extract solution component from my_A and store in my_A_p
bordered_grp->extractParameterComponent(false, *my_A, my_A_p);
// Extract solution component from my_B and store in my_B_p
if (isZeroB)
my_B_p.putScalar(0.0);
else
bordered_grp->extractParameterComponent(true, *my_B, my_B_p);
// Copy in my_C
my_CC.assign(*my_C);
}
NOX::Abstract::Group::ReturnType
LOCA::BorderedSolver::LowerTriangularBlockElimination::
solve(Teuchos::ParameterList& params,
const LOCA::BorderedSolver::AbstractOperator& op,
const LOCA::MultiContinuation::ConstraintInterface& B,
const NOX::Abstract::MultiVector::DenseMatrix& C,
const NOX::Abstract::MultiVector* F,
const NOX::Abstract::MultiVector::DenseMatrix* G,
NOX::Abstract::MultiVector& X,
NOX::Abstract::MultiVector::DenseMatrix& Y) const
{
string callingFunction =
"LOCA::BorderedSolver::LowerTriangularBlockElimination::solve()";
NOX::Abstract::Group::ReturnType finalStatus = NOX::Abstract::Group::Ok;
NOX::Abstract::Group::ReturnType status;
// Determine if X or Y is zero
bool isZeroF = (F == NULL);
bool isZeroG = (G == NULL);
bool isZeroB = B.isDXZero();
bool isZeroX = isZeroF;
bool isZeroY = isZeroG && (isZeroB || isZeroX);
// First compute X
if (isZeroX)
X.init(0.0);
else {
// Solve X = J^-1 F, note F must be nonzero
status = op.applyInverse(params, *F, X);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
}
// Now compute Y
if (isZeroY)
Y.putScalar(0.0);
else {
// Compute G - B^T*X and store in Y
if (isZeroG)
B.multiplyDX(-1.0, X, Y);
else {
Y.assign(*G);
if (!isZeroB && !isZeroX) {
NOX::Abstract::MultiVector::DenseMatrix T(Y.numRows(),Y.numCols());
B.multiplyDX(1.0, X, T);
Y -= T;
}
}
// Overwrite Y with Y = C^-1 * (G - B^T*X)
NOX::Abstract::MultiVector::DenseMatrix M(C);
int *ipiv = new int[M.numRows()];
Teuchos::LAPACK<int,double> L;
int info;
L.GETRF(M.numRows(), M.numCols(), M.values(), M.stride(), ipiv, &info);
if (info != 0) {
status = NOX::Abstract::Group::Failed;
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(
status,
finalStatus,
callingFunction);
}
L.GETRS('N', M.numRows(), Y.numCols(), M.values(), M.stride(), ipiv,
Y.values(), Y.stride(), &info);
delete [] ipiv;
if (info != 0) {
status = NOX::Abstract::Group::Failed;
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(
status,
finalStatus,
callingFunction);
}
}
return finalStatus;
}
// Solves Hopf equations via classic Salinger bordering
// The first m columns of input_x, input_y, input_z store the RHS, the
// next column stores df/dp, (Jy-wBz)_p and (Jz+wBy)_p respectively, the
// last column of input_y and input_z store Bz and -By respectively. Note
// input_x has m+1 columns, input_y and input_z have m+2, and input_w and
// input_p have m columns. result_x, result_y, result_z, result_w and
// result_param have the same dimensions as their input counterparts
NOX::Abstract::Group::ReturnType
LOCA::Hopf::MooreSpence::SalingerBordering::solveContiguous(
Teuchos::ParameterList& params,
const NOX::Abstract::MultiVector& input_x,
const NOX::Abstract::MultiVector& input_y,
const NOX::Abstract::MultiVector& input_z,
const NOX::Abstract::MultiVector::DenseMatrix& input_w,
const NOX::Abstract::MultiVector::DenseMatrix& input_p,
NOX::Abstract::MultiVector& result_x,
NOX::Abstract::MultiVector& result_y,
NOX::Abstract::MultiVector& result_z,
NOX::Abstract::MultiVector::DenseMatrix& result_w,
NOX::Abstract::MultiVector::DenseMatrix& result_p) const
{
std::string callingFunction =
"LOCA::Hopf::MooreSpence::SalingerBordering::solveContiguous()";
NOX::Abstract::Group::ReturnType finalStatus = NOX::Abstract::Group::Ok;
NOX::Abstract::Group::ReturnType status;
int m = input_x.numVectors()-1;
std::vector<int> index_input(m);
std::vector<int> index_dp(1);
std::vector<int> index_B(1);
std::vector<int> index_ip(m+1);
for (int i=0; i<m; i++) {
index_input[i] = i;
index_ip[i] = i;
}
index_ip[m] = m;
index_dp[0] = m;
index_B[0] = m+1;
// verify underlying Jacobian is valid
if (!group->isJacobian()) {
status = group->computeJacobian();
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
}
// compute [A b] = J^-1 [F df/dp]
status = group->applyJacobianInverseMultiVector(params, input_x, result_x);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status, finalStatus,
callingFunction);
Teuchos::RCP<NOX::Abstract::MultiVector> A =
result_x.subView(index_input);
Teuchos::RCP<NOX::Abstract::MultiVector> b =
result_x.subView(index_dp);
// verify underlying complex matrix is valid
if (!group->isComplex()) {
status = group->computeComplex(w);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
}
// compute (J+iwB)(y+iz)_x [A b]
Teuchos::RCP<NOX::Abstract::MultiVector> tmp_real =
result_y.clone(NOX::ShapeCopy);
Teuchos::RCP<NOX::Abstract::MultiVector> tmp_real_sub =
tmp_real->subView(index_ip);
Teuchos::RCP<NOX::Abstract::MultiVector> tmp_imag =
result_y.clone(NOX::ShapeCopy);
Teuchos::RCP<NOX::Abstract::MultiVector> tmp_imag_sub =
tmp_imag->subView(index_ip);
tmp_real->init(0.0);
tmp_imag->init(0.0);
status = group->computeDCeDxa(*yVector, *zVector, w, result_x,
*CeRealVector, *CeImagVector, *tmp_real_sub,
*tmp_imag_sub);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status, finalStatus,
callingFunction);
// compute [G+iH d(J+iwB)(y+iz)/dp iB(y+iz)] - [(J+iwB)_x[A b] 0+i0]
tmp_real->update(1.0, input_y, -1.0);
tmp_imag->update(1.0, input_z, -1.0);
// verify underlying complex matrix is valid
if (!group->isComplex()) {
status = group->computeComplex(w);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status,
finalStatus,
callingFunction);
}
// compute [C+iD e+if g+ih] = (J+iwB)^-1 (tmp_real + i tmp_imag)
status = group->applyComplexInverseMultiVector(params, *tmp_real, *tmp_imag,
result_y, result_z);
finalStatus =
globalData->locaErrorCheck->combineAndCheckReturnTypes(status, finalStatus,
callingFunction);
Teuchos::RCP<NOX::Abstract::MultiVector> C =
result_y.subView(index_input);
Teuchos::RCP<NOX::Abstract::MultiVector> D =
result_z.subView(index_input);
Teuchos::RCP<NOX::Abstract::MultiVector> e =
result_y.subView(index_dp);
Teuchos::RCP<NOX::Abstract::MultiVector> f =
result_z.subView(index_dp);
Teuchos::RCP<NOX::Abstract::MultiVector> g =
result_y.subView(index_B);
Teuchos::RCP<NOX::Abstract::MultiVector> h =
result_z.subView(index_B);
// compute lambda = ((phi^T h)(phi^T C-u) - (phi^T g)(phi^T D-v)) /
// ((phi^T h)(phi^T e)-(phi^T g)(phi^T f))
NOX::Abstract::MultiVector::DenseMatrix ltC(1,m);
NOX::Abstract::MultiVector::DenseMatrix ltD(1,m);
double lte = hopfGroup->lTransNorm((*e)[0]);
double ltf = hopfGroup->lTransNorm((*f)[0]);
double ltg = hopfGroup->lTransNorm((*g)[0]);
double lth = hopfGroup->lTransNorm((*h)[0]);
double denom = lth*lte - ltg*ltf;
hopfGroup->lTransNorm(*C, ltC);
ltC -= input_w;
ltC.scale(lth);
hopfGroup->lTransNorm(*D, ltD);
ltD -= input_p;
result_p.assign(ltD);
result_p.scale(-ltg);
result_p += ltC;
result_p.scale(1.0/denom);
// compute omega = (phi^T D-v - (phi^T f)lambda)/(phi^T h)
result_w.assign(result_p);
result_w.scale(-ltf);
result_w += ltD;
result_w.scale(1.0/lth);
// compute A = A - b*lambda (remember A is a sub-view of result_x)
A->update(Teuchos::NO_TRANS, -1.0, *b, result_p, 1.0);
// compute C = C - e*lambda - g*omega (remember C is a sub-view of result_y)
C->update(Teuchos::NO_TRANS, -1.0, *e, result_p, 1.0);
C->update(Teuchos::NO_TRANS, -1.0, *g, result_w, 1.0);
// compute D = D - f*lambda - h*omega (remember D is a sub-view of result_z)
D->update(Teuchos::NO_TRANS, -1.0, *f, result_p, 1.0);
D->update(Teuchos::NO_TRANS, -1.0, *h, result_w, 1.0);
return finalStatus;
}
void
LOCA::BorderedSolver::HouseholderQR::computeQR(
const NOX::Abstract::MultiVector::DenseMatrix& C,
const NOX::Abstract::MultiVector& B,
bool use_c_transpose,
NOX::Abstract::MultiVector::DenseMatrix& Y1,
NOX::Abstract::MultiVector& Y2,
NOX::Abstract::MultiVector::DenseMatrix& T,
NOX::Abstract::MultiVector::DenseMatrix& R)
{
double beta;
int m = B.numVectors();
// Initialize
Y1.putScalar(0.0);
T.putScalar(0.0);
Y2 = B;
if (use_c_transpose) {
for (int i=0; i<m; i++)
for (int j=0; j<m; j++)
R(i,j) = C(j,i); // Copy transpose of C into R
}
else
R.assign(C);
// A temporary vector
Teuchos::RCP<NOX::Abstract::MultiVector> v2 = Y2.clone(1);
Teuchos::RCP<NOX::Abstract::MultiVector::DenseMatrix> v1;
Teuchos::RCP<NOX::Abstract::MultiVector> h2;
Teuchos::RCP<NOX::Abstract::MultiVector::DenseMatrix> h1;
Teuchos::RCP<NOX::Abstract::MultiVector> y2;
Teuchos::RCP<NOX::Abstract::MultiVector::DenseMatrix> y1;
Teuchos::RCP<NOX::Abstract::MultiVector::DenseMatrix> z;
std::vector<int> h_idx;
std::vector<int> y_idx;
y_idx.reserve(m);
for (int i=0; i<m; i++) {
// Create view of column i of Y1 starting at row i
v1 =
Teuchos::rcp(new NOX::Abstract::MultiVector::DenseMatrix(Teuchos::View,
Y1,
m-i,
1, i, i));
// Create view of columns i through m-1 of Y2
h_idx.resize(m-i);
for (unsigned int j=0; j<h_idx.size(); j++)
h_idx[j] = i+j;
h2 = Y2.subView(h_idx);
// Create view of columns i thru m-1 of R, starting at row i
h1 =
Teuchos::rcp(new NOX::Abstract::MultiVector::DenseMatrix(Teuchos::View,
R,
m-i,
m-i,
i, i));
if (i > 0) {
// Create view of columns 0 through i-1 of Y2
y_idx.push_back(i-1);
y2 = Y2.subView(y_idx);
// Create view of columns 0 through i-1 of Y1, starting at row i
y1 =
Teuchos::rcp(new NOX::Abstract::MultiVector::DenseMatrix(Teuchos::View,
Y1,
m-i,
i, i, 0));
// Create view of column i, row 0 through i-1 of T
z =
Teuchos::rcp(new NOX::Abstract::MultiVector::DenseMatrix(Teuchos::View,
T,
i,
1,
0, i));
}
// Compute Householder Vector
computeHouseholderVector(i, R, Y2, *v1, *v2, beta);
// Apply Householder reflection
applyHouseholderVector(*v1, *v2, beta, *h1, *h2);
// Copy v2 into Y2
Y2[i] = (*v2)[0];
T(i,i) = -beta;
if (i > 0) {
// Compute z = y2^T * v2
v2->multiply(1.0, *y2, *z);
// Compute z = -beta * (z + y1^T * v1)
z->multiply(Teuchos::TRANS, Teuchos::NO_TRANS, -beta, *y1, *v1, -beta);
// Compute z = T * z
dblas.TRMV(Teuchos::UPPER_TRI, Teuchos::NO_TRANS, Teuchos::NON_UNIT_DIAG,
i, T.values(), m, z->values(), 1);
}
}
}
