MBMesquite::TScale Class Reference

#include <TScale.hpp>

Inheritance diagram for MBMesquite::TScale:

Collaboration diagram for MBMesquite::TScale:

Public Member Functions
	TScale (double alpha, TMetric *metric)
virtual MESQUITE_EXPORT	~TScale ()
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.
Private Attributes
double	mAlpha
TMetric *	mMetric

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Detailed Description

\( \mu\prime = \alpha \mu \)

Definition at line 42 of file TScale.hpp.

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Constructor & Destructor Documentation

MBMesquite::TScale::TScale	(	double	alpha,
		TMetric *	metric
	)		[inline]

Definition at line 48 of file TScale.hpp.

: mAlpha( alpha ), mMetric( metric ) {}

MBMesquite::TScale::~TScale

(

)

[virtual]

Definition at line 46 of file TScale.cpp.

{}

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Member Function Documentation

bool MBMesquite::TScale::evaluate	(	const MsqMatrix< 2, 2 > &	T,
		double &	result,
		MsqError &	err
	)		[virtual]

Evaluate \(\mu(T)\).

Parameters:

T	2x2 relative measure matrix (typically A W^-1)
result	Output: value of function

Returns:

false if function cannot be evaluated for given T (e.g. division by zero, etc.), true otherwise.

Reimplemented from MBMesquite::TMetric.

Definition at line 48 of file TScale.cpp.

References MBMesquite::TMetric::evaluate(), mAlpha, mMetric, and MSQ_ERRZERO.

{
    bool rval = mMetric->evaluate( T, result, err );
    MSQ_ERRZERO( err );
    result *= mAlpha;
    return rval;
}

bool MBMesquite::TScale::evaluate	(	const MsqMatrix< 3, 3 > &	T,
		double &	result,
		MsqError &	err
	)		[virtual]

Evaluate \(\mu(T)\).

Parameters:

T	3x3 relative measure matrix (typically A W^-1)
result	Output: value of function

Returns:

false if function cannot be evaluated for given T (e.g. division by zero, etc.), true otherwise.

Reimplemented from MBMesquite::TMetric.

Definition at line 56 of file TScale.cpp.

References MBMesquite::TMetric::evaluate(), mAlpha, mMetric, and MSQ_ERRZERO.

{
    bool rval = mMetric->evaluate( T, result, err );
    MSQ_ERRZERO( err );
    result *= mAlpha;
    return rval;
}

bool MBMesquite::TScale::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.

Parameters:

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. \[\left[\begin{array}{cc} \frac{\partial\mu}{\partial T_{0,0}} & \frac{\partial\mu}{\partial T_{0,1}} \\ \frac{\partial\mu}{\partial T_{1,0}} & \frac{\partial\mu}{\partial T_{1,1}} \\ \end{array}\right]\]

Returns:

false if function cannot be evaluated for given T (e.g. division by zero, etc.), true otherwise.

Reimplemented from MBMesquite::TMetric.

Definition at line 64 of file TScale.cpp.

References MBMesquite::TMetric::evaluate_with_grad(), mAlpha, mMetric, and MSQ_ERRZERO.

{
    bool rval = mMetric->evaluate_with_grad( T, result, deriv_wrt_T, err );
    MSQ_ERRZERO( err );
    result *= mAlpha;
    deriv_wrt_T *= mAlpha;
    return rval;
}

bool MBMesquite::TScale::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.

Parameters:

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. \[\left[\begin{array}{ccc} \frac{\partial\mu}{\partial T_{0,0}} & \frac{\partial\mu}{\partial T_{0,1}} & \frac{\partial\mu}{\partial T_{0,2}} \\ \frac{\partial\mu}{\partial T_{1,0}} & \frac{\partial\mu}{\partial T_{1,1}} & \frac{\partial\mu}{\partial T_{1,2}} \\ \frac{\partial\mu}{\partial T_{2,0}} & \frac{\partial\mu}{\partial T_{2,1}} & \frac{\partial\mu}{\partial T_{2,2}} \end{array}\right]\]

Returns:

false if function cannot be evaluated for given T (e.g. division by zero, etc.), true otherwise.

Reimplemented from MBMesquite::TMetric.

Definition at line 76 of file TScale.cpp.

References MBMesquite::TMetric::evaluate_with_grad(), mAlpha, mMetric, and MSQ_ERRZERO.

{
    bool rval = mMetric->evaluate_with_grad( T, result, deriv_wrt_T, err );
    MSQ_ERRZERO( err );
    result *= mAlpha;
    deriv_wrt_T *= mAlpha;
    return rval;
}

bool MBMesquite::TScale::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.

Parameters:

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. \[\left[\begin{array}{cc|cc} \frac{\partial^{2}\mu}{\partial T_{0,0}^2} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial A_{0,1}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial A_{1,0}} & \frac{\partial^{2}\mu}{\partial T_{0,0}\partial A_{1,1}} \\ \frac{\partial^{2}\mu}{\partial T_{0,0}\partial A_{0,1}} & \frac{\partial^{2}\mu}{\partial T_{0,1}^2} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial A_{1,0}} & \frac{\partial^{2}\mu}{\partial T_{0,1}\partial A_{1,1}} \\ \hline & & \frac{\partial^{2}\mu}{\partial T_{1,0}^2} & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial A_{1,1}} \\ & & \frac{\partial^{2}\mu}{\partial T_{1,0}\partial A_{1,1}} & \frac{\partial^{2}\mu}{\partial T_{1,1}^2} \\ \end{array}\right]\]

Returns:

false if function cannot be evaluated for given T (e.g. division by zero, etc.), true otherwise.

Reimplemented from MBMesquite::TMetric.

Definition at line 88 of file TScale.cpp.

References MBMesquite::TMetric::evaluate_with_hess(), mAlpha, mMetric, and MSQ_ERRZERO.

{
    bool rval = mMetric->evaluate_with_hess( T, result, deriv_wrt_T, second_wrt_T, err );
    MSQ_ERRZERO( err );
    result *= mAlpha;
    deriv_wrt_T *= mAlpha;
    second_wrt_T[0] *= mAlpha;
    second_wrt_T[1] *= mAlpha;
    second_wrt_T[2] *= mAlpha;
    return rval;
}

virtual MESQUITE_EXPORT bool MBMesquite::TScale::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.

Parameters:

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]\]

Returns:

false if function cannot be evaluated for given T (e.g. division by zero, etc.), true otherwise.

Reimplemented from MBMesquite::TMetric.

std::string MBMesquite::TScale::get_name

(

)

const [virtual]

Implements MBMesquite::TMetric.

Definition at line 41 of file TScale.cpp.

References MBMesquite::TMetric::get_name(), and mMetric.

{
    return "scale(" + mMetric->get_name() + ')';
}

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Member Data Documentation

double MBMesquite::TScale::mAlpha [private]

Definition at line 44 of file TScale.hpp.

Referenced by evaluate(), evaluate_with_grad(), and evaluate_with_hess().

TMetric* MBMesquite::TScale::mMetric [private]

Definition at line 45 of file TScale.hpp.

Referenced by evaluate(), evaluate_with_grad(), evaluate_with_hess(), and get_name().

List of all members.

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The documentation for this class was generated from the following files:

• TScale.hpp
• TScale.cpp