MOAB: Mesh Oriented datABase
(version 5.4.1)
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#include <TShapeSizeB3.hpp>
Public Member Functions | |
virtual MESQUITE_EXPORT | ~TShapeSizeB3 () |
virtual MESQUITE_EXPORT std::string | get_name () const |
virtual MESQUITE_EXPORT bool | evaluate (const MsqMatrix< 2, 2 > &T, double &result, MsqError &err) |
Evaluate \(\mu(T)\). | |
virtual MESQUITE_EXPORT bool | evaluate_with_grad (const MsqMatrix< 2, 2 > &T, double &result, MsqMatrix< 2, 2 > &deriv_wrt_T, MsqError &err) |
Gradient of \(\mu(T)\) with respect to components of T. | |
virtual MESQUITE_EXPORT bool | evaluate_with_hess (const MsqMatrix< 2, 2 > &T, double &result, MsqMatrix< 2, 2 > &deriv_wrt_T, MsqMatrix< 2, 2 > second_wrt_T[3], MsqError &err) |
Hessian of \(\mu(T)\) with respect to components of T. | |
virtual MESQUITE_EXPORT bool | evaluate (const MsqMatrix< 3, 3 > &T, double &result, MsqError &err) |
Evaluate \(\mu(T)\). | |
virtual MESQUITE_EXPORT bool | evaluate_with_grad (const MsqMatrix< 3, 3 > &T, double &result, MsqMatrix< 3, 3 > &deriv_wrt_T, MsqError &err) |
Gradient of \(\mu(T)\) with respect to components of T. | |
virtual MESQUITE_EXPORT bool | evaluate_with_hess (const MsqMatrix< 3, 3 > &T, double &result, MsqMatrix< 3, 3 > &deriv_wrt_T, MsqMatrix< 3, 3 > second_wrt_T[6], MsqError &err) |
Hessian of \(\mu(T)\) with respect to components of T. |
2D: |T|^2 - 2 * ln(tau) - 2 3D: |T|^3 - 3 sqrt(3) ln(tau) - 3 sqrt(3)
Definition at line 43 of file TShapeSizeB3.hpp.
MBMesquite::TShapeSizeB3::~TShapeSizeB3 | ( | ) | [virtual] |
Definition at line 47 of file TShapeSizeB3.cpp.
{}
bool MBMesquite::TShapeSizeB3::evaluate | ( | const MsqMatrix< 2, 2 > & | T, |
double & | result, | ||
MsqError & | err | ||
) | [virtual] |
Evaluate \(\mu(T)\).
T | 2x2 relative measure matrix (typically A W^-1) |
result | Output: value of function |
Reimplemented from MBMesquite::TMetric.
Definition at line 49 of file TShapeSizeB3.cpp.
References MBMesquite::MsqError::BARRIER_VIOLATED, MBMesquite::barrier_violated_msg, MBMesquite::det(), MBMesquite::TMetricBarrier::invalid_determinant(), MSQ_SETERR, and MBMesquite::sqr_Frobenius().
{ const double tau = det( T ); if( invalid_determinant( tau ) ) { // barrier MSQ_SETERR( err )( barrier_violated_msg, MsqError::BARRIER_VIOLATED ); return false; } result = sqr_Frobenius( T ) - 2.0 * std::log( tau ) - 2; return true; }
bool MBMesquite::TShapeSizeB3::evaluate | ( | const MsqMatrix< 3, 3 > & | T, |
double & | result, | ||
MsqError & | err | ||
) | [virtual] |
Evaluate \(\mu(T)\).
T | 3x3 relative measure matrix (typically A W^-1) |
result | Output: value of function |
Reimplemented from MBMesquite::TMetric.
Definition at line 110 of file TShapeSizeB3.cpp.
References MBMesquite::MsqError::BARRIER_VIOLATED, MBMesquite::barrier_violated_msg, MBMesquite::det(), MBMesquite::Frobenius(), MBMesquite::TMetricBarrier::invalid_determinant(), MSQ_SETERR, MBMesquite::MSQ_SQRT_THREE, and n.
{ const double tau = det( T ); if( invalid_determinant( tau ) ) { // barrier MSQ_SETERR( err )( barrier_violated_msg, MsqError::BARRIER_VIOLATED ); return false; } double n = Frobenius( T ); result = n * n * n - 3 * MSQ_SQRT_THREE * ( log( tau ) + 1 ); return true; }
bool MBMesquite::TShapeSizeB3::evaluate_with_grad | ( | const MsqMatrix< 2, 2 > & | T, |
double & | result, | ||
MsqMatrix< 2, 2 > & | deriv_wrt_T, | ||
MsqError & | err | ||
) | [virtual] |
Gradient of \(\mu(T)\) with respect to components of T.
T | 2x2 relative measure matrix (typically A W^-1) |
result | Output: value of function |
deriv_wrt_T | Output: partial deriviatve of \(\mu\) wrt each term of T, evaluated at passed T. \[\left[\begin{array}{cc} \frac{\partial\mu}{\partial T_{0,0}} & \frac{\partial\mu}{\partial T_{0,1}} \\ \frac{\partial\mu}{\partial T_{1,0}} & \frac{\partial\mu}{\partial T_{1,1}} \\ \end{array}\right]\] |
Reimplemented from MBMesquite::TMetric.
Definition at line 62 of file TShapeSizeB3.cpp.
References MBMesquite::MsqError::BARRIER_VIOLATED, MBMesquite::barrier_violated_msg, MBMesquite::det(), MBMesquite::TMetricBarrier::invalid_determinant(), MSQ_SETERR, MBMesquite::sqr_Frobenius(), T, and MBMesquite::transpose_adj().
{ const double tau = det( T ); if( invalid_determinant( tau ) ) { // barrier MSQ_SETERR( err )( barrier_violated_msg, MsqError::BARRIER_VIOLATED ); return false; } result = sqr_Frobenius( T ) - 2.0 * std::log( tau ) - 2; deriv_wrt_T = T; deriv_wrt_T -= 1 / tau * transpose_adj( T ); deriv_wrt_T *= 2; return true; }
bool MBMesquite::TShapeSizeB3::evaluate_with_grad | ( | const MsqMatrix< 3, 3 > & | T, |
double & | result, | ||
MsqMatrix< 3, 3 > & | deriv_wrt_T, | ||
MsqError & | err | ||
) | [virtual] |
Gradient of \(\mu(T)\) with respect to components of T.
T | 3x3 relative measure matrix (typically A W^-1) |
result | Output: value of function |
deriv_wrt_T | Output: partial deriviatve of \(\mu\) wrt each term of T, evaluated at passed T. \[\left[\begin{array}{ccc} \frac{\partial\mu}{\partial T_{0,0}} & \frac{\partial\mu}{\partial T_{0,1}} & \frac{\partial\mu}{\partial T_{0,2}} \\ \frac{\partial\mu}{\partial T_{1,0}} & \frac{\partial\mu}{\partial T_{1,1}} & \frac{\partial\mu}{\partial T_{1,2}} \\ \frac{\partial\mu}{\partial T_{2,0}} & \frac{\partial\mu}{\partial T_{2,1}} & \frac{\partial\mu}{\partial T_{2,2}} \end{array}\right]\] |
Reimplemented from MBMesquite::TMetric.
Definition at line 124 of file TShapeSizeB3.cpp.
References MBMesquite::MsqError::BARRIER_VIOLATED, MBMesquite::barrier_violated_msg, MBMesquite::det(), MBMesquite::Frobenius(), MBMesquite::TMetricBarrier::invalid_determinant(), MSQ_SETERR, MBMesquite::MSQ_SQRT_THREE, n, T, and MBMesquite::transpose_adj().
{ const double tau = det( T ); if( invalid_determinant( tau ) ) { // barrier MSQ_SETERR( err )( barrier_violated_msg, MsqError::BARRIER_VIOLATED ); return false; } double n = Frobenius( T ); result = n * n * n - 3 * MSQ_SQRT_THREE * ( log( tau ) + 1 ); const MsqMatrix< 3, 3 > adjt = transpose_adj( T ); deriv_wrt_T = T; deriv_wrt_T *= 3 * n; deriv_wrt_T -= 3 * MSQ_SQRT_THREE / tau * adjt; return true; }
bool MBMesquite::TShapeSizeB3::evaluate_with_hess | ( | const MsqMatrix< 2, 2 > & | T, |
double & | result, | ||
MsqMatrix< 2, 2 > & | deriv_wrt_T, | ||
MsqMatrix< 2, 2 > | second_wrt_T[3], | ||
MsqError & | err | ||
) | [virtual] |
Hessian of \(\mu(T)\) with respect to components of T.
T | 3x3 relative measure matrix (typically A W^-1) |
result | Output: value of function |
deriv_wrt_T | Output: partial deriviatve of \(\mu\) wrt each term of T, evaluated at passed T. |
second_wrt_T | Output: 9x9 matrix of second partial deriviatve of \(\mu\) wrt each term of T, in row-major order. The symmetric matrix is decomposed into 3x3 blocks and only the upper diagonal blocks, in row-major order, are returned. \[\left[\begin{array}{cc|cc} \frac{\partial^{2}\mu}{\partial T_{0,0}^2} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial A_{0,1}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial A_{1,0}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial A_{1,1}} \\ \frac{\partial^{2}\mu}{\partial T_{0,0}\partial A_{0,1}} & \frac{\partial^{2}\mu}{\partial T_{0,1}^2} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial A_{1,0}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial A_{1,1}} \\ \hline & & \frac{\partial^{2}\mu}{\partial T_{1,0}^2} & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial A_{1,1}} \\ & & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial A_{1,1}} & \frac{\partial^{2}\mu}{\partial T_{1,1}^2} \\ \end{array}\right]\] |
Reimplemented from MBMesquite::TMetric.
Definition at line 82 of file TShapeSizeB3.cpp.
References MBMesquite::MsqError::BARRIER_VIOLATED, MBMesquite::barrier_violated_msg, MBMesquite::det(), MBMesquite::TMetricBarrier::invalid_determinant(), MSQ_SETERR, MBMesquite::pluseq_scaled_2nd_deriv_of_det(), MBMesquite::pluseq_scaled_I(), MBMesquite::set_scaled_outer_product(), MBMesquite::sqr_Frobenius(), T, and MBMesquite::transpose_adj().
{ const double tau = det( T ); if( invalid_determinant( tau ) ) { // barrier MSQ_SETERR( err )( barrier_violated_msg, MsqError::BARRIER_VIOLATED ); return false; } result = sqr_Frobenius( T ) - 2.0 * std::log( tau ) - 2; const MsqMatrix< 2, 2 > adjt = transpose_adj( T ); const double it = 1 / tau; deriv_wrt_T = T; deriv_wrt_T -= it * adjt; deriv_wrt_T *= 2; set_scaled_outer_product( second_wrt_T, 2 * it * it, adjt ); pluseq_scaled_2nd_deriv_of_det( second_wrt_T, -2 * it ); pluseq_scaled_I( second_wrt_T, 2.0 ); return true; }
bool MBMesquite::TShapeSizeB3::evaluate_with_hess | ( | const MsqMatrix< 3, 3 > & | T, |
double & | result, | ||
MsqMatrix< 3, 3 > & | deriv_wrt_T, | ||
MsqMatrix< 3, 3 > | second_wrt_T[6], | ||
MsqError & | err | ||
) | [virtual] |
Hessian of \(\mu(T)\) with respect to components of T.
T | 3x3 relative measure matrix (typically A W^-1) |
result | Output: value of function |
deriv_wrt_T | Output: partial deriviatve of \(\mu\) wrt each term of T, evaluated at passed T. |
second_wrt_T | Output: 9x9 matrix of second partial deriviatve of \(\mu\) wrt each term of T, in row-major order. The symmetric matrix is decomposed into 3x3 blocks and only the upper diagonal blocks, in row-major order, are returned. \[\left[\begin{array}{ccc|ccc|ccc} \frac{\partial^{2}\mu}{\partial T_{0,0}^2} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{0,1}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{0,2}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{1,0}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{1,1}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{1,2}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{2,0}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{2,1}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{2,2}} \\ \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{0,1}} & \frac{\partial^{2}\mu}{\partial T_{0,1}^2} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial T_{0,2}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial T_{1,0}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial T_{1,1}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial T_{1,2}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial T_{2,0}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial T_{2,1}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial T_{2,2}} \\ \frac{\partial^{2}\mu}{\partial T_{0,0}\partial T_{0,2}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial T_{0,2}} & \frac{\partial^{2}\mu}{\partial T_{0,2}^2} & \frac{\partial^{2}\mu}{\partial T_{0,2}\partial T_{1,0}} & \frac{\partial^{2}\mu}{\partial T_{0,2}\partial T_{1,1}} & \frac{\partial^{2}\mu}{\partial T_{0,2}\partial T_{1,2}} & \frac{\partial^{2}\mu}{\partial T_{0,2}\partial T_{2,0}} & \frac{\partial^{2}\mu}{\partial T_{0,2}\partial T_{2,1}} & \frac{\partial^{2}\mu}{\partial T_{0,2}\partial T_{2,2}} \\ \hline & & & \frac{\partial^{2}\mu}{\partial T_{1,0}^2} & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial T_{1,1}} & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial T_{1,2}} & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial T_{2,0}} & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial T_{2,1}} & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial T_{2,2}} \\ & & & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial T_{1,1}} & \frac{\partial^{2}\mu}{\partial T_{1,1}^2} & \frac{\partial^{2}\mu}{\partial T_{1,1}\partial T_{1,2}} & \frac{\partial^{2}\mu}{\partial T_{1,1}\partial T_{2,0}} & \frac{\partial^{2}\mu}{\partial T_{1,1}\partial T_{2,1}} & \frac{\partial^{2}\mu}{\partial T_{1,1}\partial T_{2,2}} \\ & & & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial T_{1,2}} & \frac{\partial^{2}\mu}{\partial T_{1,1}\partial T_{1,2}} & \frac{\partial^{2}\mu}{\partial T_{1,2}^2} & \frac{\partial^{2}\mu}{\partial T_{1,2}\partial T_{2,0}} & \frac{\partial^{2}\mu}{\partial T_{1,2}\partial T_{2,1}} & \frac{\partial^{2}\mu}{\partial T_{1,2}\partial T_{2,2}} \\ \hline & & & & & & \frac{\partial^{2}\mu}{\partial T_{2,0}^2} & \frac{\partial^{2}\mu}{\partial T_{2,0}\partial T_{2,1}} & \frac{\partial^{2}\mu}{\partial T_{2,0}\partial T_{2,2}} \\ & & & & & & \frac{\partial^{2}\mu}{\partial T_{2,0}\partial T_{2,1}} & \frac{\partial^{2}\mu}{\partial T_{2,1}^2} & \frac{\partial^{2}\mu}{\partial T_{2,1}\partial T_{2,2}} \\ & & & & & & \frac{\partial^{2}\mu}{\partial T_{2,0}\partial T_{2,2}} & \frac{\partial^{2}\mu}{\partial T_{2,1}\partial T_{2,2}} & \frac{\partial^{2}\mu}{\partial T_{2,2}^2} \\ \end{array}\right]\] |
Reimplemented from MBMesquite::TMetric.
Definition at line 147 of file TShapeSizeB3.cpp.
References MBMesquite::MsqError::BARRIER_VIOLATED, MBMesquite::barrier_violated_msg, MBMesquite::det(), MBMesquite::Frobenius(), MBMesquite::TMetricBarrier::invalid_determinant(), MSQ_SETERR, MBMesquite::MSQ_SQRT_THREE, n, MBMesquite::pluseq_scaled_2nd_deriv_of_det(), MBMesquite::pluseq_scaled_I(), MBMesquite::pluseq_scaled_outer_product(), MBMesquite::set_scaled_outer_product(), T, and MBMesquite::transpose_adj().
{ const double tau = det( T ); if( invalid_determinant( tau ) ) { // barrier MSQ_SETERR( err )( barrier_violated_msg, MsqError::BARRIER_VIOLATED ); return false; } double n = Frobenius( T ); result = n * n * n - 3 * MSQ_SQRT_THREE * ( log( tau ) + 1 ); const MsqMatrix< 3, 3 > adjt = transpose_adj( T ); const double it = 1 / tau; deriv_wrt_T = T; deriv_wrt_T *= 3 * n; deriv_wrt_T -= 3 * MSQ_SQRT_THREE * it * adjt; if( n > 1e-50 ) { set_scaled_outer_product( second_wrt_T, 3 / n, T ); pluseq_scaled_I( second_wrt_T, 3 * n ); pluseq_scaled_2nd_deriv_of_det( second_wrt_T, -3 * MSQ_SQRT_THREE * it, T ); pluseq_scaled_outer_product( second_wrt_T, 3 * MSQ_SQRT_THREE * it * it, adjt ); } else { std::cout << "Warning: Division by zero avoided in TShapeSizeB3::evaluate_with_hess()" << std::endl; } return true; }
std::string MBMesquite::TShapeSizeB3::get_name | ( | ) | const [virtual] |
Reimplemented from MBMesquite::TMetricBarrier.
Definition at line 42 of file TShapeSizeB3.cpp.
{ return "TShapeSizeB3"; }