Real
StressDivergenceRZ::computeQpOffDiagJacobian(unsigned int jvar)
{
if ( _rdisp_coupled && jvar == _rdisp_var )
{
return calculateJacobian( _component, 0 );
}
else if ( _zdisp_coupled && jvar == _zdisp_var )
{
return calculateJacobian( _component, 1 );
}
else if ( _temp_coupled && jvar == _temp_var )
{
SymmTensor test;
if (_component == 0)
{
test.xx() = _grad_test[_i][_qp](0);
test.xy() = 0.5*_grad_test[_i][_qp](1);
test.zz() = _test[_i][_qp] / _q_point[_qp](0);
}
else
{
test.xy() = 0.5*_grad_test[_i][_qp](0);
test.yy() = _grad_test[_i][_qp](1);
}
return _d_stress_dT[_qp].doubleContraction(test) * _phi[_j][_qp];
}
return 0;
}
Real
StressDivergenceRZTensors::computeQpOffDiagJacobian(unsigned int jvar)
{
for (unsigned int i = 0; i < _ndisp; ++i)
{
if (jvar == _disp_var[i])
return calculateJacobian(_component, i);
}
if (_temp_coupled && jvar == _temp_var)
{
Real jac = 0.0;
if (_component == 0)
{
for (unsigned k = 0; k < LIBMESH_DIM; ++k)
for (unsigned l = 0; l < LIBMESH_DIM; ++l)
jac -= (_grad_test[_i][_qp](0) * _Jacobian_mult[_qp](0, 0, k, l) +
_test[_i][_qp] / _q_point[_qp](0) * _Jacobian_mult[_qp](2, 2, k, l) +
_grad_test[_i][_qp](1) * _Jacobian_mult[_qp](0, 1, k, l)) *
(*_deigenstrain_dT)[_qp](k, l);
return jac * _phi[_j][_qp];
}
else if (_component == 1)
{
for (unsigned k = 0; k < LIBMESH_DIM; ++k)
for (unsigned l = 0; l < LIBMESH_DIM; ++l)
jac -= (_grad_test[_i][_qp](1) * _Jacobian_mult[_qp](1, 1, k, l) +
_grad_test[_i][_qp](0) * _Jacobian_mult[_qp](1, 0, k, l)) *
(*_deigenstrain_dT)[_qp](k, l);
return jac * _phi[_j][_qp];
}
}
return 0.0;
}
void
FiniteStrainPlasticBase::checkJacobian()
{
_console << "\n ++++++++++++++ \nChecking the Jacobian\n";
outputAndCheckDebugParameters();
RankFourTensor E_inv = _elasticity_tensor[_qp].invSymm();
RankTwoTensor delta_dp = -E_inv*_fspb_debug_stress;
std::vector<std::vector<Real> > jac;
calculateJacobian(_fspb_debug_stress, _fspb_debug_intnl, _fspb_debug_pm, E_inv, jac);
std::vector<std::vector<Real> > fdjac;
fdJacobian(_fspb_debug_stress, _intnl_old[_qp], _fspb_debug_intnl, _fspb_debug_pm, delta_dp, E_inv, fdjac);
_console << "Hand-coded Jacobian:\n";
for (unsigned row = 0 ; row < jac.size() ; ++row)
{
for (unsigned col = 0 ; col < jac.size() ; ++col)
_console << jac[row][col] << " ";
_console << "\n";
}
_console << "Finite difference Jacobian:\n";
for (unsigned row = 0 ; row < fdjac.size() ; ++row)
{
for (unsigned col = 0 ; col < fdjac.size() ; ++col)
_console << fdjac[row][col] << " ";
_console << "\n";
}
}
void
MultiPlasticityDebugger::checkJacobian(const RankFourTensor & E_inv,
const std::vector<Real> & intnl_old)
{
Moose::err << "\n\n+++++++++++++++++++++\nChecking the Jacobian\n+++++++++++++++++++++\n";
outputAndCheckDebugParameters();
std::vector<bool> act;
act.assign(_num_surfaces, true);
std::vector<bool> deactivated_due_to_ld;
deactivated_due_to_ld.assign(_num_surfaces, false);
RankTwoTensor delta_dp = -E_inv * _fspb_debug_stress;
std::vector<std::vector<Real>> jac;
calculateJacobian(_fspb_debug_stress,
_fspb_debug_intnl,
_fspb_debug_pm,
E_inv,
act,
deactivated_due_to_ld,
jac);
std::vector<std::vector<Real>> fdjac;
fdJacobian(_fspb_debug_stress,
intnl_old,
_fspb_debug_intnl,
_fspb_debug_pm,
delta_dp,
E_inv,
false,
fdjac);
Real L2_numer = 0;
Real L2_denom = 0;
for (unsigned row = 0; row < jac.size(); ++row)
for (unsigned col = 0; col < jac.size(); ++col)
{
L2_numer += Utility::pow<2>(jac[row][col] - fdjac[row][col]);
L2_denom += Utility::pow<2>(jac[row][col] + fdjac[row][col]);
}
Moose::err << "\nRelative L2norm = " << std::sqrt(L2_numer / L2_denom) / 0.5 << "\n";
Moose::err << "\nHand-coded Jacobian:\n";
for (unsigned row = 0; row < jac.size(); ++row)
{
for (unsigned col = 0; col < jac.size(); ++col)
Moose::err << jac[row][col] << " ";
Moose::err << "\n";
}
Moose::err << "Finite difference Jacobian:\n";
for (unsigned row = 0; row < fdjac.size(); ++row)
{
for (unsigned col = 0; col < fdjac.size(); ++col)
Moose::err << fdjac[row][col] << " ";
Moose::err << "\n";
}
}
void CQMathMatrixWidget::updateJacobianIfTabSelected()
{
if (mpDataModel == NULL)
return;
CModel* pModel = mpDataModel->getModel();
if (pModel == NULL)
return;
if (!mpTabWidgetJac->isVisible() && !mpTabWidgetJacRed->isVisible())
return;
try
{
// need to compile at this point otherwise elements might not be valid anymore
pModel->compileIfNecessary(NULL);
updateJacobianAnnotation(pModel);
CMathContainer& container = pModel->getMathContainer();
if (mpTabWidget->currentWidget() == mpTabWidgetJac)
{
calculateJacobian(mJacobian, &container, tableEigenValues, false, 1e-6);
mpJacobianAnnotationWidget->setArrayAnnotation(mpJacobianAnn);
}
else if (mpTabWidget->currentWidget() == mpTabWidgetJacRed)
{
calculateJacobian(mJacobianRed, &container, tableEigenValuesRed, true, 1e-6);
mpRedJacobianAnnotationWidget->setArrayAnnotation(mpJacobianAnnRed);
}
}
catch (...)
{
// jacobian couldn't be calculated
mpJacobianAnnotationWidget->setArrayAnnotation(NULL);
mpRedJacobianAnnotationWidget->setArrayAnnotation(NULL);
}
}
void
MultiPlasticityLinearSystem::nrStep(const RankTwoTensor & stress, const std::vector<Real> & intnl_old, const std::vector<Real> & intnl, const std::vector<Real> & pm, const RankFourTensor & E_inv, const RankTwoTensor & delta_dp, RankTwoTensor & dstress, std::vector<Real> & dpm, std::vector<Real> & dintnl, const std::vector<bool> & active, std::vector<bool> & deactivated_due_to_ld)
{
// Calculate RHS and Jacobian
std::vector<Real> rhs;
calculateRHS(stress, intnl_old, intnl, pm, delta_dp, rhs, active, true, deactivated_due_to_ld);
std::vector<std::vector<Real> > jac;
calculateJacobian(stress, intnl, pm, E_inv, active, deactivated_due_to_ld, jac);
// prepare for LAPACKgesv_ routine provided by PETSc
int system_size = rhs.size();
std::vector<double> a(system_size*system_size);
// Fill in the a "matrix" by going down columns
unsigned ind = 0;
for (int col = 0 ; col < system_size ; ++col)
for (int row = 0 ; row < system_size ; ++row)
a[ind++] = jac[row][col];
int nrhs = 1;
std::vector<int> ipiv(system_size);
int info;
LAPACKgesv_(&system_size, &nrhs, &a[0], &system_size, &ipiv[0], &rhs[0], &system_size, &info);
if (info != 0)
mooseError("In solving the linear system in a Newton-Raphson process, the PETSC LAPACK gsev routine returned with error code " << info);
// Extract the results back to dstress, dpm and dintnl
std::vector<bool> active_not_deact(_num_surfaces);
for (unsigned surface = 0 ; surface < _num_surfaces ; ++surface)
active_not_deact[surface] = (active[surface] && !deactivated_due_to_ld[surface]);
unsigned int dim = 3;
ind = 0;
for (unsigned i = 0 ; i < dim ; ++i)
for (unsigned j = 0 ; j <= i ; ++j)
dstress(i, j) = dstress(j, i) = rhs[ind++];
dpm.assign(_num_surfaces, 0);
for (unsigned surface = 0 ; surface < _num_surfaces ; ++surface)
if (active_not_deact[surface])
dpm[surface] = rhs[ind++];
dintnl.assign(_num_models, 0);
for (unsigned model = 0 ; model < _num_models ; ++model)
if (anyActiveSurfaces(model, active_not_deact))
dintnl[model] = rhs[ind++];
mooseAssert(static_cast<int>(ind) == system_size, "Incorrect extracting of changes from NR solution in nrStep");
}
gmtl::Vec3f JacobianMatrix::calculateInverse(const Angle& angle, const gmtl::Vec3f& angular)
{
gmtl::Matrix33f matrixJ = calculateJacobian(angle);
//gmtl::Matrix<float, 3, 1> velocityMatrix;
//velocityMatrix[0][0] = velocity[0];
//velocityMatrix[1][0] = velocity[1];
//velocityMatrix[2][0] = velocity[2];
//gmtl::Matrix<float, 3, 1> solution = matrixJ * velocityMatrix;
//invert(matrixJ);
return invert(matrixJ) * angular;//gmtl::Vec3f(solution[0][0], solution[1][0], solution[2][0]);
}
gmtl::Vec3f JacobianMatrix::calculate(const Angle& angle, const gmtl::Vec3f& cartesian)
{
gmtl::Matrix33f matrixJ = calculateJacobian(angle);
//gmtl::Matrix<float, 3, 1> velocityMatrix;
//velocityMatrix[0][0] = velocity[0];
//velocityMatrix[1][0] = velocity[1];
//velocityMatrix[2][0] = velocity[2];
//gmtl::Matrix<float, 3, 1> solution = matrixJ * velocityMatrix;
return matrixJ * cartesian;//gmtl::Vec3f(solution[0][0], solution[1][0], solution[2][0]);
}
Real
StressDivergenceRZTensors::computeQpOffDiagJacobian(unsigned int jvar)
{
for (unsigned int i = 0; i < _ndisp; ++i)
{
if (jvar == _disp_var[i])
return calculateJacobian( _component, i);
}
if (_temp_coupled && jvar == _temp_var)
return 0.0;
return 0;
}
void
FiniteStrainPlasticBase::nrStep(const RankTwoTensor & stress, const std::vector<Real> & intnl_old, const std::vector<Real> & intnl, const std::vector<Real> & pm, const RankFourTensor & E_inv, const RankTwoTensor & delta_dp, RankTwoTensor & dstress, std::vector<Real> & dpm, std::vector<Real> & dintnl)
{
// Calculate RHS and Jacobian
std::vector<Real> rhs;
calculateRHS(stress, intnl_old, intnl, pm, delta_dp, rhs);
std::vector<std::vector<Real> > jac;
calculateJacobian(stress, intnl, pm, E_inv, jac);
// prepare for LAPACKgesv_ routine provided by PETSc (at least since PETSc 3.0.0)
int system_size = rhs.size();
std::vector<double> a(system_size*system_size);
// Fill in the a "matrix" by going down columns
unsigned ind = 0;
for (int col = 0 ; col < system_size ; ++col)
for (int row = 0 ; row < system_size ; ++row)
a[ind++] = jac[row][col];
int nrhs = 1;
std::vector<int> ipiv(system_size);
int info;
LAPACKgesv_(&system_size, &nrhs, &a[0], &system_size, &ipiv[0], &rhs[0], &system_size, &info);
if (info != 0)
mooseError("In solving the linear system in a Newton-Raphson process, the PETSC LAPACK gsev routine returned with error code " << info);
// Extract the results back to dstress, dpm and dintnl
unsigned int dim = 3;
ind = 0;
for (unsigned i = 0 ; i < dim ; ++i)
for (unsigned j = 0 ; j <= i ; ++j)
dstress(i, j) = dstress(j, i) = rhs[ind++];
dpm.resize(numberOfYieldFunctions());
for (unsigned alpha = 0 ; alpha < numberOfYieldFunctions() ; ++alpha)
dpm[alpha] = rhs[ind++];
dintnl.resize(numberOfInternalParameters());
for (unsigned a = 0 ; a < numberOfInternalParameters() ; ++a)
dintnl[a] = rhs[ind++];
}
Real
StressDivergenceRZ::computeQpJacobian()
{
return calculateJacobian( _component, _component );
}
void
MultiPlasticityDebugger::checkSolution(const RankFourTensor & E_inv)
{
Moose::err << "\n\n+++++++++++++++++++++\nChecking the Solution\n";
Moose::err << "(Ie, checking Ax = b)\n+++++++++++++++++++++\n";
outputAndCheckDebugParameters();
std::vector<bool> act;
act.assign(_num_surfaces, true);
std::vector<bool> deactivated_due_to_ld;
deactivated_due_to_ld.assign(_num_surfaces, false);
RankTwoTensor delta_dp = -E_inv * _fspb_debug_stress;
std::vector<Real> orig_rhs;
calculateRHS(_fspb_debug_stress,
_fspb_debug_intnl,
_fspb_debug_intnl,
_fspb_debug_pm,
delta_dp,
orig_rhs,
act,
true,
deactivated_due_to_ld);
Moose::err << "\nb = ";
for (unsigned i = 0; i < orig_rhs.size(); ++i)
Moose::err << orig_rhs[i] << " ";
Moose::err << "\n\n";
std::vector<std::vector<Real>> jac_coded;
calculateJacobian(_fspb_debug_stress,
_fspb_debug_intnl,
_fspb_debug_pm,
E_inv,
act,
deactivated_due_to_ld,
jac_coded);
Moose::err
<< "Before checking Ax=b is correct, check that the Jacobians given below are equal.\n";
Moose::err
<< "The hand-coded Jacobian is used in calculating the solution 'x', given 'b' above.\n";
Moose::err << "Note that this only includes degrees of freedom that aren't deactivated due to "
"linear dependence.\n";
Moose::err << "Hand-coded Jacobian:\n";
for (unsigned row = 0; row < jac_coded.size(); ++row)
{
for (unsigned col = 0; col < jac_coded.size(); ++col)
Moose::err << jac_coded[row][col] << " ";
Moose::err << "\n";
}
deactivated_due_to_ld.assign(_num_surfaces,
false); // this potentially gets changed by nrStep, below
RankTwoTensor dstress;
std::vector<Real> dpm;
std::vector<Real> dintnl;
nrStep(_fspb_debug_stress,
_fspb_debug_intnl,
_fspb_debug_intnl,
_fspb_debug_pm,
E_inv,
delta_dp,
dstress,
dpm,
dintnl,
act,
deactivated_due_to_ld);
std::vector<bool> active_not_deact(_num_surfaces);
for (unsigned surface = 0; surface < _num_surfaces; ++surface)
active_not_deact[surface] = !deactivated_due_to_ld[surface];
std::vector<Real> x;
x.assign(orig_rhs.size(), 0);
unsigned ind = 0;
for (unsigned i = 0; i < 3; ++i)
for (unsigned j = 0; j <= i; ++j)
x[ind++] = dstress(i, j);
for (unsigned surface = 0; surface < _num_surfaces; ++surface)
if (active_not_deact[surface])
x[ind++] = dpm[surface];
for (unsigned model = 0; model < _num_models; ++model)
if (anyActiveSurfaces(model, active_not_deact))
x[ind++] = dintnl[model];
mooseAssert(ind == orig_rhs.size(),
"Incorrect extracting of changes from NR solution in the "
"finite-difference checking of nrStep");
Moose::err << "\nThis yields x =";
for (unsigned i = 0; i < orig_rhs.size(); ++i)
Moose::err << x[i] << " ";
Moose::err << "\n";
std::vector<std::vector<Real>> jac_fd;
fdJacobian(_fspb_debug_stress,
_fspb_debug_intnl,
_fspb_debug_intnl,
_fspb_debug_pm,
delta_dp,
E_inv,
true,
jac_fd);
Moose::err << "\nThe finite-difference Jacobian is used to multiply by this 'x',\n";
Moose::err << "in order to check that the solution is correct\n";
Moose::err << "Finite-difference Jacobian:\n";
for (unsigned row = 0; row < jac_fd.size(); ++row)
{
for (unsigned col = 0; col < jac_fd.size(); ++col)
Moose::err << jac_fd[row][col] << " ";
Moose::err << "\n";
}
Real L2_numer = 0;
Real L2_denom = 0;
for (unsigned row = 0; row < jac_coded.size(); ++row)
for (unsigned col = 0; col < jac_coded.size(); ++col)
{
L2_numer += Utility::pow<2>(jac_coded[row][col] - jac_fd[row][col]);
L2_denom += Utility::pow<2>(jac_coded[row][col] + jac_fd[row][col]);
}
Moose::err << "Relative L2norm of the hand-coded and finite-difference Jacobian is "
<< std::sqrt(L2_numer / L2_denom) / 0.5 << "\n";
std::vector<Real> fd_times_x;
fd_times_x.assign(orig_rhs.size(), 0);
for (unsigned row = 0; row < orig_rhs.size(); ++row)
for (unsigned col = 0; col < orig_rhs.size(); ++col)
fd_times_x[row] += jac_fd[row][col] * x[col];
Moose::err << "\n(Finite-difference Jacobian)*x =\n";
for (unsigned i = 0; i < orig_rhs.size(); ++i)
Moose::err << fd_times_x[i] << " ";
Moose::err << "\n";
Moose::err << "Recall that b = \n";
for (unsigned i = 0; i < orig_rhs.size(); ++i)
Moose::err << orig_rhs[i] << " ";
Moose::err << "\n";
L2_numer = 0;
L2_denom = 0;
for (unsigned i = 0; i < orig_rhs.size(); ++i)
{
L2_numer += Utility::pow<2>(orig_rhs[i] - fd_times_x[i]);
L2_denom += Utility::pow<2>(orig_rhs[i] + fd_times_x[i]);
}
Moose::err << "\nRelative L2norm of these is " << std::sqrt(L2_numer / L2_denom) / 0.5 << "\n";
}
int main(int argc, char* argv[])
{
//--This first declaration is included for software engineering reasons: allow main method to control flow of data
//create function pointer for calculateDependentVariable
//We want to do this so that calculateJacobian can call calculateDependentVariables as it needs to,
//but we explicitly give it this authority from the main method
void (*yourCalculateDependentVariables)(const Teuchos::SerialDenseMatrix<int, std::complex<double> >&, const Teuchos::SerialDenseVector<int, std::complex<double> >&, Teuchos::SerialDenseVector<int, std::complex<double> >&);
yourCalculateDependentVariables = &calculateDependentVariables;
//Create an object to allow access to LAPACK using a library found in Trilinos
//
Teuchos::LAPACK<int, std::complex<double> > Teuchos_LAPACK_Object;
//The problem being solved is to find the intersection of three infinite paraboloids:
//(x-1)^2 + y^2 + z = 0
//x^2 + y^2 -(z+1) = 0
//x^2 + y^2 +(z-1) = 0
//
//They should intersect at the point (1, 0, 0)
Teuchos::SerialDenseMatrix<int, std::complex<double> > offsets(NUMDIMENSIONS, NUMDIMENSIONS);
offsets(0,0) = 1.0;
offsets(1,2) = 1.0;
offsets(2,2) = 1.0;
//We need to initialize the target vectors and provide an initial guess
Teuchos::SerialDenseVector<int, std::complex<double> > targetsDesired(NUMDIMENSIONS);
Teuchos::SerialDenseVector<int, std::complex<double> > targetsCalculated(NUMDIMENSIONS);
Teuchos::SerialDenseVector<int, std::complex<double> > unperturbedTargetsCalculated(NUMDIMENSIONS);
Teuchos::SerialDenseVector<int, std::complex<double> > currentGuess(NUMDIMENSIONS);
Teuchos::SerialDenseVector<int, std::complex<double> > guessAdjustment(NUMDIMENSIONS);
currentGuess[0] = 2.0;
currentGuess[1] = 1.0;
currentGuess[2] = 1.0;
//Place to store our tangent-stiffness matrix or Jacobian
//One element for every combination of dependent variable with independent variable
Teuchos::SerialDenseMatrix<int, std::complex<double> > jacobian(NUMDIMENSIONS, NUMDIMENSIONS);
int count = 0;
double error = 1.0E5;
std::cout << "Running Forward Difference Example" << std::endl;
while(count < MAXITERATIONS and error > ERRORTOLLERANCE)
{
//Calculate Jacobian tangent to currentGuess point
//at the same time, an unperturbed targetsCalculated is, well, calculated
calculateJacobian(offsets,
jacobian,
targetsCalculated,
unperturbedTargetsCalculated,
currentGuess,
yourCalculateDependentVariables);
//Compute a guessChange and immediately set the currentGuess equal to the guessChange
updateGuess(currentGuess,
targetsCalculated,
jacobian,
Teuchos_LAPACK_Object);
//Compute F(x) with the updated, currentGuess
calculateDependentVariables(offsets,
currentGuess,
targetsCalculated);
//Calculate the L2 norm of Ftarget - F(xCurrentGuess)
calculateResidual(targetsDesired,
targetsCalculated,
error);
count ++;
//If we have converged, or if we have exceeded our alloted number of iterations, discontinue the loop
std::cout << "Residual Error: " << error << std::endl;
}
std::cout << "******************************************" << std::endl;
std::cout << "Number of iterations: " << count << std::endl;
std::cout << "Final guess:\n x, y, z\n " << currentGuess[0] << ", " << currentGuess[1] << ", " << currentGuess[2] << std::endl;
std::cout << "Error tollerance: " << ERRORTOLLERANCE << std::endl;
std::cout << "Final error: " << error << std::endl;
std::cout << "--program complete--" << std::endl;
return 0;
}
int main(int argc, char* argv[])
{
//--This first declaration is included for software engineering reasons: allow main method to control flow of data
//create function pointer for calculateDependentVariable
//We want to do this so that calculateJacobian can call calculateDependentVariables as it needs to,
//but we explicitly give it this authority from the main method
void (*yourCalculateDependentVariables)(const arma::Mat<std::complex<double> >&, const arma::Col<std::complex<double> >&, arma::Col<std::complex<double> >&);
yourCalculateDependentVariables = &calculateDependentVariables;
//The problem being solved is to find the intersection of three infinite paraboloids:
//(x-1)^2 + y^2 + z = 0
//x^2 + y^2 -(z+1) = 0
//x^2 + y^2 +(z-1) = 0
//
//They should intersect at the point (1, 0, 0)
arma::Mat<std::complex<double> > offsets(NUMDIMENSIONS, NUMDIMENSIONS);
offsets.fill(0.0);
offsets.col(0)[0] = 1.0;
offsets.col(2)[1] = 1.0;
offsets.col(2)[2] = 1.0;
//We need to initialize the target vectors and provide an initial guess
arma::Col<std::complex<double> > targetsDesired(NUMDIMENSIONS);
targetsDesired.fill(0.0);
arma::Col<std::complex<double> > targetsCalculated(NUMDIMENSIONS);
targetsCalculated.fill(0.0);
arma::Col<double> realTargetsCalculated(NUMDIMENSIONS);
realTargetsCalculated.fill(0.0);
arma::Col<std::complex<double> > currentGuess(NUMDIMENSIONS);
currentGuess.fill(2.0);
//Place to store our tangent-stiffness matrix or Jacobian
//One element for every combination of dependent variable with independent variable
arma::Mat<double> jacobian(NUMDIMENSIONS, NUMDIMENSIONS);
jacobian.fill(0.0);
int count = 0;
double error = 1.0E5;
std::cout << "Running complex step example ................" << std::endl;
while(count < MAXITERATIONS and error > ERRORTOLLERANCE)
{
//Calculate Jacobian tangent to currentGuess point
//at the same time, an unperturbed targetsCalculated is, well, calculated
calculateJacobian(offsets,
jacobian,
targetsCalculated,
currentGuess,
yourCalculateDependentVariables);
//Compute a new currentGuess
updateGuess(currentGuess,
realTargetsCalculated,
targetsCalculated,
jacobian);
//Compute F(x) with the updated, currentGuess
calculateDependentVariables(offsets,
currentGuess,
targetsCalculated);
//Calculate the L2 norm of Ftarget - F(xCurrentGuess)
calculateResidual(targetsDesired,
targetsCalculated,
error);
count ++;
//If we have converged, or if we have exceeded our alloted number of iterations, discontinue the loop
std::cout << "Residual Error: " << error << std::endl;
}
std::cout << "******************************************" << std::endl;
std::cout << "Number of iterations: " << count << std::endl;
std::cout << "Final guess:\n x, y, z\n" << arma::real(currentGuess.t());
std::cout << "Error tollerance: " << ERRORTOLLERANCE << std::endl;
std::cout << "Final error: " << error << std::endl;
std::cout << "--program complete--" << std::endl;
return 0;
}
Real
StressDivergenceRSphericalTensors::computeQpJacobian()
{
return calculateJacobian(_component, _component);
}
