C++ (Cpp) AbstractGroup示例

示例#1

文件： LOCA_SingularJacobianSolve_ItRef.C 项目： gitter-badger/quinoa

NOX::Abstract::Group::ReturnType 
LOCA::SingularJacobianSolve::ItRef::computeMulti(
				Teuchos::ParameterList& params,
				LOCA::Continuation::AbstractGroup& grp,
				const NOX::Abstract::Vector*const* inputs,
				const NOX::Abstract::Vector& approxNullVec,
				const NOX::Abstract::Vector& jacApproxNullVec,
				NOX::Abstract::Vector** results,
				int nVecs) 
{
  std::string callingFunction = 
    "LOCA::SingularJacobianSolve::ItRef::computeMulti()";
  NOX::Abstract::Group::ReturnType status, finalStatus;

  NOX::Abstract::Vector** remainders = new NOX::Abstract::Vector*[nVecs];
  NOX::Abstract::Vector** refinements = new NOX::Abstract::Vector*[nVecs];

  finalStatus = grp.applyJacobianInverseMulti(params, inputs, results, nVecs);
  LOCA::ErrorCheck::checkReturnType(finalStatus, callingFunction);

  for (int i=0; i<nVecs; i++) {
    remainders[i] = inputs[i]->clone(NOX::ShapeCopy);
    refinements[i] = inputs[i]->clone(NOX::ShapeCopy);

    status = grp.applyJacobian(*(results[i]), *(remainders[i]));
    finalStatus = 
      LOCA::ErrorCheck::combineAndCheckReturnTypes(status, finalStatus,
						   callingFunction);

    // r = b-Ax
    remainders[i]->update(1.0, *(inputs[i]), -1.0);
  }

  // Ay=r
  status = grp.applyJacobianInverseMulti(params, remainders, refinements, 
					 nVecs);
  finalStatus = 
    LOCA::ErrorCheck::combineAndCheckReturnTypes(status, finalStatus,
						 callingFunction);

  // x+=y
  for (int i=0; i<nVecs; i++) {
    results[i]->update(1.0, *(refinements[i]), 1.0);
    delete remainders[i];
    delete refinements[i];
  }
  
  delete [] remainders;
  delete [] refinements;

  return finalStatus;
}

示例#2

NOX::Abstract::Group::ReturnType 
LOCA::SingularJacobianSolve::Nic::compute(
				Teuchos::ParameterList& params,
				LOCA::Continuation::AbstractGroup& grp,
				const NOX::Abstract::Vector& input,
			        const NOX::Abstract::Vector& approxNullVec,
				const NOX::Abstract::Vector& jacApproxNullVec,
				NOX::Abstract::Vector& result) 
{
  string callingFunction = 
    "LOCA::SingularJacobianSolve::Nic::compute()";
  NOX::Abstract::Group::ReturnType finalStatus;

  double alpha = approxNullVec.innerProduct(input)
               / approxNullVec.innerProduct(jacApproxNullVec);

  NOX::Abstract::Vector* tmpInput  = input.clone(NOX::DeepCopy);
  tmpInput->update(-alpha, jacApproxNullVec, 1.0);

  finalStatus = grp.applyJacobianInverse(params, *tmpInput, result);
  LOCA::ErrorCheck::checkReturnType(finalStatus, callingFunction);

  delete tmpInput;

  result.update(alpha, approxNullVec, 1.0);

  return finalStatus;
}

示例#3

文件： LOCA_SingularJacobianSolve_ItRef.C 项目： gitter-badger/quinoa

NOX::Abstract::Group::ReturnType 
LOCA::SingularJacobianSolve::ItRef::compute(
				Teuchos::ParameterList& params,
				LOCA::Continuation::AbstractGroup& grp,
				const NOX::Abstract::Vector& input,
			        const NOX::Abstract::Vector& approxNullVec,
				const NOX::Abstract::Vector& jacApproxNullVec,
				NOX::Abstract::Vector& result) 
{
  std::string callingFunction = 
    "LOCA::SingularJacobianSolve::ItRef::compute()";
  NOX::Abstract::Group::ReturnType status, finalStatus;

  finalStatus = grp.applyJacobianInverse(params, input, result);
  LOCA::ErrorCheck::checkReturnType(finalStatus, callingFunction);

  NOX::Abstract::Vector* remainder = input.clone(NOX::ShapeCopy);

  status = grp.applyJacobian(result, *remainder);
  finalStatus = 
    LOCA::ErrorCheck::combineAndCheckReturnTypes(status, finalStatus,
						 callingFunction);

  // r = b-Ax
  remainder->update(1.0, input, -1.0);

  NOX::Abstract::Vector* refinement = input.clone(NOX::ShapeCopy);

  // Ay=r
  status = grp.applyJacobianInverse(params, *remainder, *refinement);
  finalStatus = 
    LOCA::ErrorCheck::combineAndCheckReturnTypes(status, finalStatus,
						 callingFunction);

  // x+=y
  result.update(1.0, *refinement, 1.0);
  
  delete remainder;
  delete refinement;

  return finalStatus;
}

示例#4

NOX::Abstract::Group::ReturnType 
LOCA::SingularJacobianSolve::Nic::computeMulti(
				Teuchos::ParameterList& params,
				LOCA::Continuation::AbstractGroup& grp,
				const NOX::Abstract::Vector*const* inputs,
				const NOX::Abstract::Vector& approxNullVec,
				const NOX::Abstract::Vector& jacApproxNullVec,
				NOX::Abstract::Vector** results,
				int nVecs) 
{
  string callingFunction = 
    "LOCA::SingularJacobianSolve::Nic::computeMulti()";
  NOX::Abstract::Group::ReturnType status, finalStatus;
  finalStatus = NOX::Abstract::Group::Ok;

  double denom = approxNullVec.innerProduct(jacApproxNullVec);

  double* alphas = new double[nVecs];
  NOX::Abstract::Vector** tmpInputs  = new NOX::Abstract::Vector*[nVecs];

  for (int i=0; i<nVecs; i++) {
    alphas[i] = approxNullVec.innerProduct(*(inputs[i])) / denom;
    tmpInputs[i] = inputs[i]->clone(NOX::DeepCopy);
    tmpInputs[i]->update(-alphas[i], jacApproxNullVec, 1.0);
  }

  status = grp.applyJacobianInverseMulti(params, tmpInputs, results, nVecs);
  finalStatus = 
    LOCA::ErrorCheck::combineAndCheckReturnTypes(status, finalStatus,
						 callingFunction);

  for (int i=0; i<nVecs; i++) {
    results[i]->update(alphas[i], approxNullVec, 1.0);
    delete tmpInputs[i];
  }

  delete [] tmpInputs;
  delete [] alphas;

  return finalStatus;
}