void
BroydenOperator::runPostIterate( const NOX::Solver::Generic & solver)
{
// Get and update using the solver object.
if( solver.getNumIterations() > 0 )
{
// To consistently compute changes to the step and the yield, eg effects of
// linesearch or other globalizations, we need to get and subtract the old and
// new solution states and corresponding residuals
const Abstract::Group & oldSolnGrp = solver.getPreviousSolutionGroup();
const Abstract::Group & solnGrp = solver.getSolutionGroup();
// Set the Step vector
*workVec = solnGrp.getX();
workVec->update(-1.0, oldSolnGrp.getX(), 1.0);
setStepVector( *workVec );
// Set the Yield vector
*workVec = solnGrp.getF();
workVec->update(-1.0, oldSolnGrp.getF(), 1.0);
setYieldVector( *workVec );
// Use of these updated vectors occurs when computeJacobian or computePreconditioner
// gets called
}
prePostOperator.runPostIterate( solver );
return;
}
NOX::StatusTest::StatusType
N_NLS_NOX::Stagnation::checkStatus(const NOX::Solver::Generic& problem)
{
status = NOX::StatusTest::Unconverged;
// First time through we don't do anything but reset the counters
int niters = problem.getNumIterations();
if (niters == 0) {
numSteps = 0;
lastIteration = 0;
convRate = 1.0;
//minConvRate = 1.0; // Don't reset this. Xyce solver never does.
normFInit = problem.getSolutionGroup().getNormF();
return NOX::StatusTest::Unconverged;
}
// Make sure we have not already counted the last nonlinear iteration.
// This protects against multiple calls to checkStatus() in between
// nonlinear iterations.
bool isCounted = false;
if (niters == lastIteration) {
isCounted = true;
}
else
lastIteration = niters;
// Compute the convergenc rate and set counter appropriately
if (!isCounted) {
convRate = problem.getSolutionGroup().getNormF() /
problem.getPreviousSolutionGroup().getNormF();
if (fabs(convRate - 1.0) <= tolerance) {
if ((numSteps == 0) || (convRate < minConvRate))
minConvRate = convRate;
++numSteps ;
}
else
numSteps = 0;
}
if (numSteps >= maxSteps) {
double initConvRate = problem.getSolutionGroup().getNormF()/normFInit;
if ((initConvRate <= 0.9) && (minConvRate <= 1.0)) {
status = NOX::StatusTest::Converged;
}
else
status = NOX::StatusTest::Failed;
}
return status;
}
NOX::Abstract::Group::ReturnType
LOCA::StepSize::Adaptive::computeStepSize(
LOCA::MultiContinuation::AbstractStrategy& curGroup,
const LOCA::MultiContinuation::ExtendedVector& predictor,
const NOX::Solver::Generic& solver,
const LOCA::Abstract::Iterator::StepStatus& stepStatus,
const LOCA::Stepper& stepper,
double& stepSize)
{
// If this is the first step, set step size to initial value
if (isFirstStep) {
double dpds = predictor.getScalar(0);
if (dpds != 0.0) {
LOCA::StepSize::Constant::startStepSize /= dpds;
LOCA::StepSize::Constant::maxStepSize /= dpds;
LOCA::StepSize::Constant::minStepSize /= dpds;
}
LOCA::StepSize::Constant::isFirstStep = false;
stepSize = LOCA::StepSize::Constant::startStepSize;
prevStepSize = 0.0;
}
else {
// A failed nonlinear solve cuts the step size in half
if (stepStatus == LOCA::Abstract::Iterator::Unsuccessful) {
stepSize *= LOCA::StepSize::Constant::failedFactor;
}
else {
double ds_ratio = curGroup.getStepSizeScaleFactor();
LOCA::StepSize::Constant::startStepSize *= ds_ratio;
LOCA::StepSize::Constant::maxStepSize *= ds_ratio;
LOCA::StepSize::Constant::minStepSize *= ds_ratio;
// Get number of nonlinear iterations in last step
double numNonlinearSteps =
static_cast<double>(solver.getNumIterations());
// Save successful stepsize as previous
prevStepSize = stepSize;
// adapive step size control
double factor = (maxNonlinearSteps - numNonlinearSteps)
/ (maxNonlinearSteps);
stepSize *= (1.0 + agrValue * factor * factor);
stepSize *= ds_ratio;
}
}
// Clip step size to be within prescribed bounds
NOX::Abstract::Group::ReturnType res = clipStepSize(stepSize);
return res;
}
bool NOX::Direction::Newton::compute(NOX::Abstract::Vector& dir,
NOX::Abstract::Group& soln,
const NOX::Solver::Generic& solver)
{
NOX::Abstract::Group::ReturnType status;
// Compute F at current solution.
status = soln.computeF();
if (status != NOX::Abstract::Group::Ok)
NOX::Direction::Newton::throwError("compute", "Unable to compute F");
// Reset the linear solver tolerance.
if (useAdjustableForcingTerm) {
resetForcingTerm(soln, solver.getPreviousSolutionGroup(),
solver.getNumIterations(), solver);
}
else {
if (utils->isPrintType(Utils::Details)) {
utils->out() << " CALCULATING FORCING TERM" << endl;
utils->out() << " Method: Constant" << endl;
utils->out() << " Forcing Term: " << eta_k << endl;
}
}
// Compute Jacobian at current solution.
status = soln.computeJacobian();
if (status != NOX::Abstract::Group::Ok)
NOX::Direction::Newton::throwError("compute", "Unable to compute Jacobian");
// Compute the Newton direction
status = soln.computeNewton(paramsPtr->sublist("Newton").sublist("Linear Solver"));
// It didn't converge, but maybe we can recover.
if ((status != NOX::Abstract::Group::Ok) &&
(doRescue == false)) {
NOX::Direction::Newton::throwError("compute",
"Unable to solve Newton system");
}
else if ((status != NOX::Abstract::Group::Ok) &&
(doRescue == true)) {
if (utils->isPrintType(NOX::Utils::Warning))
utils->out() << "WARNING: NOX::Direction::Newton::compute() - Linear solve "
<< "failed to achieve convergence - using the step anyway "
<< "since \"Rescue Bad Newton Solve\" is true " << endl;
}
// Set search direction.
dir = soln.getNewton();
return true;
}
NOX::StatusTest::StatusType
LOCA::Bifurcation::PitchforkBord::StatusTest::ParameterUpdateNorm::checkStatus(
const NOX::Solver::Generic& problem)
{
// Get solution groups from solver
const NOX::Abstract::Group& soln = problem.getSolutionGroup();
const NOX::Abstract::Group& oldsoln = problem.getPreviousSolutionGroup();
// Cast soln group to pitchfork group
const LOCA::Bifurcation::PitchforkBord::ExtendedGroup* pfGroupPtr =
dynamic_cast<const LOCA::Bifurcation::PitchforkBord::ExtendedGroup*>(&soln);
// Check that group is a pitchfork group, return converged if not
if (pfGroupPtr == NULL) {
paramUpdateNorm = 0.0;
return NOX::StatusTest::Converged;
}
// Get solution vectors
const LOCA::Bifurcation::PitchforkBord::ExtendedVector& x =
dynamic_cast<const LOCA::Bifurcation::PitchforkBord::ExtendedVector&>(soln.getX());
const LOCA::Bifurcation::PitchforkBord::ExtendedVector& xold =
dynamic_cast<const LOCA::Bifurcation::PitchforkBord::ExtendedVector&>(oldsoln.getX());
// On the first iteration, the old and current solution are the same so
// we should return the test as unconverged until there is a valid
// old solution (i.e. the number of iterations is greater than zero).
int niters = problem.getNumIterations();
if (niters == 0)
{
paramUpdateNorm = 1.0e+12;
status = NOX::StatusTest::Unconverged;
return status;
}
paramUpdateNorm =
fabs(x.getBifParam() - xold.getBifParam()) / (rtol*fabs(x.getBifParam()) + atol);
if (paramUpdateNorm < tol)
status = NOX::StatusTest::Converged;
else
status = NOX::StatusTest::Unconverged;
return status;
}
StatusType NormWRMS::
checkStatus(const NOX::Solver::Generic& problem,
NOX::StatusTest::CheckType checkType)
{
if (checkType == NOX::StatusTest::None) {
status = Unevaluated;
value = 1.0e+12;
return status;
}
status = Unconverged;
const Abstract::Group& soln = problem.getSolutionGroup();
const Abstract::Group& oldsoln = problem.getPreviousSolutionGroup();
const Abstract::Vector& x = soln.getScaledX();
// On the first iteration, the old and current solution are the same so
// we should return the test as unconverged until there is a valid
// old solution (i.e. the number of iterations is greater than zero).
int niters = problem.getNumIterations();
if (niters == 0)
{
status = Unconverged;
value = 1.0e+12;
return status;
}
// **** Begin check for convergence criteria #1 ****
// Create the working vectors if this is the first time this
// operator is called.
if (Teuchos::is_null(u))
u = x.clone(NOX::ShapeCopy);
if (Teuchos::is_null(v))
v = x.clone(NOX::ShapeCopy);
// Create the weighting vector u = RTOL |x| + ATOL
// |x| is evaluated at the old time step
v->abs(oldsoln.getScaledX());
if (atolIsScalar)
{
u->init(1.0);
u->update(rtol, *v, atol);
}
else
{
u->update(rtol, *v, 1.0, *atolVec, 0.0);
}
// v = 1/u (elementwise)
v->reciprocal(*u);
// u = x - oldx (i.e., the update)
u->update(1.0, x, -1.0, oldsoln.getScaledX(), 0.0);
// u = Cp * u @ v (where @ represents an elementwise multiply)
u->scale(*v);
// Turn off implicit scaling of norm if the vector supports it
Teuchos::RCP<NOX::Abstract::ImplicitWeighting> iw_u;
iw_u = Teuchos::rcp_dynamic_cast<NOX::Abstract::ImplicitWeighting>(u,false);
bool saved_status = false;
if (nonnull(iw_u) && m_disable_implicit_weighting) {
saved_status = iw_u->getImplicitWeighting();
iw_u->setImplicitWeighting(false);
}
// tmp = factor * sqrt (u * u / N)
value = u->norm() * factor / sqrt(static_cast<double>(u->length()));
// Set the implicit scaling back to original value
if (nonnull(iw_u) && m_disable_implicit_weighting)
iw_u->setImplicitWeighting(saved_status);
StatusType status1 = Unconverged;
if (value < tolerance)
status1 = Converged;
// **** Begin check for convergence criteria #2 ****
StatusType status2 = Unconverged;
// Determine if the Generic solver is a LineSearchBased solver
// If it is not then return a "Converged" status
const Solver::Generic* test = 0;
test = dynamic_cast<const Solver::LineSearchBased*>(&problem);
if (test == 0)
{
status2 = Converged;
}
else
{
printCriteria2Info = true;
computedStepSize =
(dynamic_cast<const Solver::LineSearchBased*>(&problem))->getStepSize();
if (computedStepSize >= alpha)
status2 = Converged;
}
// **** Begin check for convergence criteria #3 ****
// First time through, make sure the output parameter list exists.
// Since the list is const, a sublist call to a non-existent sublist
// throws an error. Therefore we have to check the existence of each
// sublist before we call it.
const Teuchos::ParameterList& p = problem.getList();
if (niters == 1) {
if (p.isSublist("Direction")) {
if (p.sublist("Direction").isSublist("Newton")) {
if (p.sublist("Direction").sublist("Newton").isSublist("Linear Solver")) {
if (p.sublist("Direction").sublist("Newton").sublist("Linear Solver").isSublist("Output")) {
const Teuchos::ParameterList& list = p.sublist("Direction").sublist("Newton").sublist("Linear Solver").sublist("Output");
if (Teuchos::isParameterType<double>(list, "Achieved Tolerance")) {
printCriteria3Info = true;
}
}
}
}
}
}
StatusType status3 = Converged;
if (printCriteria3Info) {
achievedTol = const_cast<Teuchos::ParameterList&>(problem.getList()).
sublist("Direction").sublist("Newton").sublist("Linear Solver").
sublist("Output").get("Achieved Tolerance", -1.0);
status3 = (achievedTol <= beta) ? Converged : Unconverged;
}
// Determine status of test
if ((status1 == Converged) &&
(status2 == Converged) &&
(status3 == Converged))
status = Converged;
return status;
}
NOX::StatusTest::StatusType
LOCA::Bifurcation::TPBord::StatusTest::NullVectorNormWRMS::checkStatus(
const NOX::Solver::Generic& problem)
{
// Get solution groups from solver
const NOX::Abstract::Group& soln = problem.getSolutionGroup();
const NOX::Abstract::Group& oldsoln = problem.getPreviousSolutionGroup();
// Cast soln group to turning point group
const LOCA::Bifurcation::TPBord::ExtendedGroup* tpGroupPtr =
dynamic_cast<const LOCA::Bifurcation::TPBord::ExtendedGroup*>(&soln);
// Check that group is a turning point group, return converged if not
if (tpGroupPtr == NULL) {
normWRMS = 0.0;
return NOX::StatusTest::Converged;
}
// Get solution vectors
const LOCA::Bifurcation::TPBord::ExtendedVector& x =
dynamic_cast<const LOCA::Bifurcation::TPBord::ExtendedVector&>(soln.getX());
const LOCA::Bifurcation::TPBord::ExtendedVector& xold =
dynamic_cast<const LOCA::Bifurcation::TPBord::ExtendedVector&>(oldsoln.getX());
// Get null vectors
const NOX::Abstract::Vector& y = x.getNullVec();
const NOX::Abstract::Vector& yold = xold.getNullVec();
// temporary vectors
NOX::Abstract::Vector *u = y.clone(NOX::ShapeCopy);
NOX::Abstract::Vector *v = yold.clone(NOX::ShapeCopy);
// On the first iteration, the old and current solution are the same so
// we should return the test as unconverged until there is a valid
// old solution (i.e. the number of iterations is greater than zero).
int niters = problem.getNumIterations();
if (niters == 0)
{
normWRMS = 1.0e+12;
status = NOX::StatusTest::Unconverged;
return status;
}
// Fill vector with 1's
u->init(1.0);
// Compute |y|
v->abs(y);
// Overwrite u with rtol*|y| + atol
u->update(rtol, *v, atol);
// Overwrite v with 1/(rtol*|y| + atol)
v->reciprocal(*u);
// Overwrite u with y-yold
u->update(1.0, y, -1.0, yold, 0.0);
// Overwrite u with (y-yold)/(rtol*|y| + atol)
u->scale(*v);
// Compute sqrt( (y-yold)/(rtol*|y| + atol) ) / sqrt(N)
normWRMS = u->norm() / sqrt(static_cast<double>(u->length()));
if (normWRMS < tol)
status = NOX::StatusTest::Converged;
else
status = NOX::StatusTest::Unconverged;
delete u;
delete v;
return status;
}