C2DPPDivcurlMatrix Class Reference

Precomputed matrix for the DivCurl regularization. More...

#include <mia/2d/ppmatrix.hh>

Public Member Functions
	C2DPPDivcurlMatrix (const C2DBounds &size, const C2DFVector &range, const CSplineKernel &kernel, double wd, double wr)
double	evaluate (const C2DFVectorfield &coefficients, CDoubleVector &gradient) const
double	evaluate (const T2DDatafield< C2DDVector > &coefficients, CDoubleVector &gradient) const
const C2DBounds &	get_size () const
double	operator* (const C2DFVectorfield &coefficients) const
double	operator* (const T2DDatafield< C2DDVector > &coefficients) const
void	reset (const C2DBounds &size, const C2DFVector &range, const CSplineKernel &kernel, double wd, double wr)
	~C2DPPDivcurlMatrix ()

Detailed Description

Precomputed matrix for the DivCurl regularization.

Precomputed Matrix for the DivCurl regularization. This class stores the precomputed matrix for the divcurl regislarization of a spline based transformation.

Todo:

Optimize like the 3D version that only stores the patch of required values instead of building the whole diagonals

Definition at line 40 of file 2d/ppmatrix.hh.

Constructor & Destructor Documentation

C2DPPDivcurlMatrix()

C2DPPDivcurlMatrix::C2DPPDivcurlMatrix	(	const C2DBounds &	size,
		const C2DFVector &	range,
		const CSplineKernel &	kernel,
		double	wd,
		double	wr
	)

Construct the matrix according to the given coefficient field size, the used B-Spline kernel and the divergence and rotational weights

Parameters

size	coefficient field size
range	full data range
kernel	B-Spline kernel used for the transformation
wd	weight for divergence
wr	weight for rotation (curl)

~C2DPPDivcurlMatrix()

C2DPPDivcurlMatrix::~C2DPPDivcurlMatrix

(

)

Member Function Documentation

evaluate() [1/2]

double C2DPPDivcurlMatrix::evaluate	(	const C2DFVectorfield &	coefficients,
		CDoubleVector &	gradient
	)		const

Given this matrix P and the coefficient field c evaluate the value for \(c^T P c\)

Parameters

	coefficients	B-Spline coefficient field c
[out]	gradient	gradient of the divcurl cost

Returns

\(<c^T, P, c>\)

evaluate() [2/2]

double C2DPPDivcurlMatrix::evaluate	(	const T2DDatafield< C2DDVector > &	coefficients,
		CDoubleVector &	gradient
	)		const

Given this matrix P and the coefficient field c evaluate the value for \(c^T P c\) Specialization for double valued vectors

Parameters

	coefficients	B-Spline coefficient field c
[out]	gradient	gradient of the divcurl cost

Returns

\(<c^T, P, c>\)

get_size()

const C2DBounds& C2DPPDivcurlMatrix::get_size

(

)

const

Returns

fild size this matrix was created for

operator*() [1/2]

double C2DPPDivcurlMatrix::operator*

(

const C2DFVectorfield &

coefficients

)

const

Given this matrix P and the coefficient field c evaluate the value for \(c^T P c\)

Parameters

coefficients

B-Spline coefficient field c

Returns

\(<c^T, P, c>\)

operator*() [2/2]

double C2DPPDivcurlMatrix::operator*

(

const T2DDatafield< C2DDVector > &

coefficients

)

const

Given this matrix P and the coefficient field c evaluate the value for \(c^T P c\)

Parameters

coefficients

B-Spline coefficient field c

Returns

\(<c^T, P, c>\)

reset()

void C2DPPDivcurlMatrix::reset	(	const C2DBounds &	size,
		const C2DFVector &	range,
		const CSplineKernel &	kernel,
		double	wd,
		double	wr
	)

re-initialize the matrix (if the values are changed)

---

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

• 2d/ppmatrix.hh