Eigen::internal::matrix_function_compute< MatrixType, IsComplex > Struct Template Reference

Class for computing matrix functions. More...

#include <MatrixFunction.h>

Static Public Member Functions
template<typename AtomicType , typename ResultType >
static void	run (const MatrixType &A, AtomicType &atomic, ResultType &result)
	Compute the matrix function. More...

Detailed Description

template<typename MatrixType, int IsComplex = NumTraits<typename internal::traits<MatrixType>::Scalar>::IsComplex>
struct Eigen::internal::matrix_function_compute< MatrixType, IsComplex >

Class for computing matrix functions.

Template Parameters

MatrixType	type of the argument of the matrix function, expected to be an instantiation of the Matrix class template.
AtomicType	type for computing matrix function of atomic blocks.
IsComplex	used internally to select correct specialization.

This class implements the Schur-Parlett algorithm for computing matrix functions. The spectrum of the matrix is divided in clustered of eigenvalues that lies close together. This class delegates the computation of the matrix function on every block corresponding to these clusters to an object of type AtomicType and uses these results to compute the matrix function of the whole matrix. The class AtomicType should have a compute() member function for computing the matrix function of a block.

See also

class MatrixFunctionAtomic, class MatrixLogarithmAtomic

Definition at line 367 of file MatrixFunction.h.

Member Function Documentation

run()

template<typename MatrixType , int IsComplex = NumTraits<typename internal::traits<MatrixType>::Scalar>::IsComplex>

template<typename AtomicType , typename ResultType >

static void Eigen::internal::matrix_function_compute< MatrixType, IsComplex >::run ( const MatrixType &  A, AtomicType &  atomic, ResultType &  result  )

static

Compute the matrix function.

Parameters

[in]	A	argument of matrix function, should be a square matrix.
[in]	atomic	class for computing matrix function of atomic blocks.
[out]	result	the function f applied to A, as specified in the constructor.

See MatrixBase::matrixFunction() for details on how this computation is implemented.

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

• MatrixFunction.h