C++ (Cpp) AbstractGroup::applyJacobian примеры использования

Пример #1

NOX::Abstract::Group::ReturnType 
LOCA::DerivUtils::computeDJnDxa(LOCA::MultiContinuation::AbstractGroup& grp,
				const NOX::Abstract::Vector& nullVector,
				const NOX::Abstract::MultiVector& aVector,
				NOX::Abstract::MultiVector& result) const
{
  string callingFunction = 
    "LOCA::DerivUtils::computeDJnDxa()";
  NOX::Abstract::Group::ReturnType status, finalStatus;

  // Allocate base Jn vector and fill with J times n
  Teuchos::RCP<NOX::Abstract::Vector> baseJnVectorPtr = 
    nullVector.clone(NOX::ShapeCopy);
  
  if (!grp.isJacobian()) {
    finalStatus = grp.computeJacobian();
    globalData->locaErrorCheck->checkReturnType(finalStatus, callingFunction);
  }
  else
    finalStatus = NOX::Abstract::Group::Ok;

  status = grp.applyJacobian(nullVector, *baseJnVectorPtr);
  finalStatus = 
    globalData->locaErrorCheck->combineAndCheckReturnTypes(status, finalStatus,
							   callingFunction);

  // Now that Jn is known, call other routine
  status = computeDJnDxa(grp, nullVector, aVector, *baseJnVectorPtr, result);
  finalStatus = 
    globalData->locaErrorCheck->combineAndCheckReturnTypes(status, finalStatus,
							   callingFunction);

  return finalStatus;
}

Пример #2

NOX::Abstract::Group::ReturnType 
LOCA::DerivUtils::computeDJnDxa(LOCA::MultiContinuation::AbstractGroup& grp,
				const NOX::Abstract::Vector& nullVector,
				const NOX::Abstract::MultiVector& aVector,
				const NOX::Abstract::Vector& JnVector,
				NOX::Abstract::MultiVector& result) const
{
  string callingFunction = 
    "LOCA::DerivUtils::computeDJnDxa()";
  NOX::Abstract::Group::ReturnType status, finalStatus;

  // Copy original solution vector
  Teuchos::RCP<NOX::Abstract::Vector> Xvec = 
    grp.getX().clone(NOX::DeepCopy);

  // Loop over each column of multivector
  for (int i=0; i<aVector.numVectors(); i++) {

    // Perturb solution vector in direction of aVector, return perturbation
    double eps = perturbXVec(grp, *Xvec, aVector[i]);

    // Fill perturbed Jn vector
    finalStatus = grp.computeJacobian();
    globalData->locaErrorCheck->checkReturnType(finalStatus, callingFunction);
    
    status = grp.applyJacobian(nullVector, result[i]);
    finalStatus = 
      globalData->locaErrorCheck->combineAndCheckReturnTypes(status, 
							     finalStatus,
							     callingFunction);

    // Difference perturbed and base vector 
    result[i].update(-1.0, JnVector, 1.0);
    result[i].scale(1.0/eps);

  }
  
  // Restore original solution vector
  grp.setX(*Xvec);

  return finalStatus;
}

Пример #3

NOX::Abstract::Group::ReturnType 
LOCA::DerivUtils::computeDwtJnDp(
			      LOCA::MultiContinuation::AbstractGroup& grp, 
			      const vector<int>& paramIDs,
			      const NOX::Abstract::Vector& w,
			      const NOX::Abstract::Vector& nullVector,
			      NOX::Abstract::MultiVector::DenseMatrix& result,
			      bool isValid) const
{
  string callingFunction = 
    "LOCA::DerivUtils::computeDwtJnDp()";
  NOX::Abstract::Group::ReturnType status, finalStatus;

  // Vector to store J*n
  Teuchos::RCP<NOX::Abstract::Vector> Jn = 
    w.clone(NOX::ShapeCopy);
  double base_wtJn;

  // Compute base w^T*J*n
  if (!isValid) {

    // Compute J
    finalStatus = grp.computeJacobian();
    globalData->locaErrorCheck->checkReturnType(finalStatus, callingFunction);

    // Compute J*n
    status = grp.applyJacobian(nullVector, *Jn);
    finalStatus = 
      globalData->locaErrorCheck->combineAndCheckReturnTypes(status, 
							     finalStatus,
							     callingFunction);

    // Compute w^T*J*n
    base_wtJn = w.innerProduct(*Jn);
    result(0,0) = base_wtJn;
  }
  else {
    base_wtJn = result(0,0);
    finalStatus = NOX::Abstract::Group::Ok;
  }

  double param;
  double eps;
  double perturb_wtJn;

  // Loop over each parameter
  for (unsigned int i=0; i<paramIDs.size(); i++) {

    // Perturb single parameter in this group, and return perturbation, eps
    eps = perturbParam(grp, param, paramIDs[i]);

    // Compute perturbed J
    status = grp.computeJacobian();
    finalStatus = 
    globalData->locaErrorCheck->combineAndCheckReturnTypes(status, finalStatus,
							   callingFunction);
    // Compute perturbed J*n
    status = grp.applyJacobian(nullVector, *Jn);
    finalStatus = 
      globalData->locaErrorCheck->combineAndCheckReturnTypes(status, 
							     finalStatus,
							     callingFunction);

    // Compute perturbed w^T*J*n
    perturb_wtJn = w.innerProduct(*Jn);

    // Difference perturbed and base values
    result(0,i+1) = (perturb_wtJn - base_wtJn) / eps;
    
    // Restore original parameter value
    grp.setParam(paramIDs[i], param);

  }

  return finalStatus;
}

Пример #4

NOX::Abstract::Group::ReturnType 
LOCA::DerivUtils::computeDJnDp(LOCA::MultiContinuation::AbstractGroup& grp, 
			       const vector<int>& paramIDs, 
			       const NOX::Abstract::Vector& nullVector,
			       NOX::Abstract::MultiVector& result,
			       bool isValid) const
{
  string callingFunction = 
    "LOCA::DerivUtils::computeDJnDp()";
  NOX::Abstract::Group::ReturnType status, finalStatus;

  // Views of Jn, d(Jn)/dp
  NOX::Abstract::Vector *Jn = &result[0];
  NOX::Abstract::Vector *dJndp = NULL;

  // Compute base residual
  if (!isValid) {
    finalStatus = grp.computeJacobian();
    globalData->locaErrorCheck->checkReturnType(finalStatus, callingFunction);

    status = grp.applyJacobian(nullVector, *Jn);
    finalStatus = 
      globalData->locaErrorCheck->combineAndCheckReturnTypes(status, 
							     finalStatus,
							     callingFunction);
  }
  else
    finalStatus = NOX::Abstract::Group::Ok;

  double param;
  double eps;

  // Loop over each parameter
  for (unsigned int i=0; i<paramIDs.size(); i++) {

    // Perturb single parameter in this group, and return perturbation, eps
    eps = perturbParam(grp, param, paramIDs[i]);

    // Fill perturbed Jn vector
    status = grp.computeJacobian();
    finalStatus = 
    globalData->locaErrorCheck->combineAndCheckReturnTypes(status, finalStatus,
							   callingFunction);

    dJndp = &result[i+1];
    status = grp.applyJacobian(nullVector, *dJndp);
    finalStatus = 
      globalData->locaErrorCheck->combineAndCheckReturnTypes(status, 
							     finalStatus,
							     callingFunction);

    // Difference perturbed and base vector 
    dJndp->update(-1.0, *Jn, 1.0);
    dJndp->scale(1.0/eps);
    
    // Restore original parameter value
    grp.setParam(paramIDs[i], param);

  }

  return finalStatus;
}