blas.h File Reference

Classes

• struct blas_gbmv_dispatch< T >
• struct blas_gbmv_dispatch< double >
• struct blas_gbmv_dispatch< float >

Functions

• template<typename T > void blas_symv (const T alpha, const MArray< T, 2 > &A, const MArray< T, 1 > &x, const T beta, MArray< T, 2 > &y)
• template<typename T > MArray< T, 1 > blas_symv (const MArray< T, 2 > &A, const MArray< T, 1 > &x)
• template<typename T > MArray< T, 1 > blas_gbmv (const MArray< T, 2 > &A, const MArray< T, 1 > &x, const int M, const int ku, const int kl, const bool transA)

• template<typename T > blas_dot_dispatch< T >::value_type blas_dot (const MArray< T, 1 > &x, const MArray< T, 1 > &y)
• template<typename T > void blas_axpy (const MArray< T, 1 > &x, const T alpha, MArray< T, 1 > &y)
• template<typename T > void blas_gemv (const T alpha, const MArray< T, 2 > &A, const MArray< T, 1 > &x, const T beta, MArray< T, 1 > &y, const bool transA=false)
• template<typename T > MArray< T, 1 > blas_gemv (const MArray< T, 2 > &A, const MArray< T, 1 > &x, const bool transA=false)
• template<typename T > void blas_gemm (const T alpha, const MArray< T, 2 > &A, const MArray< T, 2 > &B, const T beta, MArray< T, 2 > &C, const bool transA=false, const bool transB=false)

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Function Documentation

template<typename T >

void blas_symv	(	const T	alpha,
		const MArray< T, 2 > &	A,
		const MArray< T, 1 > &	x,
		const T	beta,
		MArray< T, 2 > &	y
	)			[inline]

The Xsymv() routine compute a matrix-vector product for of a symmetric or hermitian matrix: y = alpha*Ax + beta*y

The MArrays x and y may have strides unequal 1, hence they may be views, slices, or subarrays of higher-dimensional MArrays. The matrix A needs to have contiguous storage.

The vector y is overwritted with the result of the calculation.

template<typename T >

MArray<T,1> blas_symv	(	const MArray< T, 2 > &	A,
		const MArray< T, 1 > &	x
	)			[inline]

The Xsymv() routine compute a matrix-vector product for double-precision data of either a general matrix or its transpose: y = Ax

The MArrays x may have strides unequal 1, hence it may be a view, slice, or subarray of a higher-dimensional MArray The matrix A needs to have contiguous storage.

The result of the calculation is returned in a newly allocated MArray.

template<typename T >

MArray<T,1> blas_gbmv	(	const MArray< T, 2 > &	A,
		const MArray< T, 1 > &	x,
		const int	M,
		const int	ku,
		const int	kl,
		const bool	transA
	)			[inline]

The Xgbmv() routine compute a matrix-vector product for single or double-precision data of either a general banded matrix or its transpose: y = Ax

The MArrays x may have strides unequal 1, hence it may be a view, slice, or subarray of a higher-dimensional MArray The matrix A needs to have contiguous storage.

The result of the calculation is returned in a newly allocated MArray.