Function

cblas_dsymv(_:_:_:_:_:_:_:_:_:_:_:)

Scales a symmetric matrix, multiplies by a vector, then scales and adds another vector (single precision).

Declaration

func cblas_dsymv(_ __Order: CBLAS_ORDER, _ __Uplo: CBLAS_UPLO, _ __N: Int32, _ __alpha: Double, _ __A: UnsafePointer<Double>!, _ __lda: Int32, _ __X: UnsafePointer<Double>!, _ __incX: Int32, _ __beta: Double, _ __Y: UnsafeMutablePointer<Double>!, _ __incY: Int32)

Parameters

Order

Specifies row-major (C) or column-major (Fortran) data ordering.

Uplo

Specifies whether to use the upper or lower triangle from the matrix. Valid values are 'U' or 'L'.

N

Order of matrix A; length of vectors.

alpha

Scaling factor for matrix A.

A

Matrix A.

lda

Leading dimension of array containing matrix A.

X

Vector x.

incX

Stride within X. For example, if incX is 7, every 7th element is used.

beta

Scaling factor for vector y.

Y

Vector y. Contains results on return.

incY

Stride within Y. For example, if incY is 7, every 7th element is used.

Discussion

Computes alpha*A*x + beta*y and stores the results in Y.

See Also

Double-Precision Float Matrix Functions

func cblas_dasum(Int32, UnsafePointer<Double>!, Int32) -> Double

Computes the sum of the absolute values of elements in a vector (double-precision).

func cblas_daxpy(Int32, Double, UnsafePointer<Double>!, Int32, UnsafeMutablePointer<Double>!, Int32)

Computes a constant times a vector plus a vector (double-precision).

func cblas_dnrm2(Int32, UnsafePointer<Double>!, Int32) -> Double

Computes the L2 norm (Euclidian length) of a vector (double precision).

func cblas_dscal(Int32, Double, UnsafeMutablePointer<Double>!, Int32)

Multiplies each element of a vector by a constant (double-precision).

func cblas_dspmv(CBLAS_ORDER, CBLAS_UPLO, Int32, Double, UnsafePointer<Double>!, UnsafePointer<Double>!, Int32, Double, UnsafeMutablePointer<Double>!, Int32)

Scales a packed symmetric matrix, then multiplies by a vector, then scales and adds another vector (double precision).

func cblas_dspr(CBLAS_ORDER, CBLAS_UPLO, Int32, Double, UnsafePointer<Double>!, Int32, UnsafeMutablePointer<Double>!)

Rank one update: adds a packed symmetric matrix to the product of a scaling factor, a vector, and its transpose (double precision).

func cblas_dsyr(CBLAS_ORDER, CBLAS_UPLO, Int32, Double, UnsafePointer<Double>!, Int32, UnsafeMutablePointer<Double>!, Int32)

Rank one update: adds a symmetric matrix to the product of a scaling factor, a vector, and its transpose (double precision).

func cblas_dsyrk(CBLAS_ORDER, CBLAS_UPLO, CBLAS_TRANSPOSE, Int32, Int32, Double, UnsafePointer<Double>!, Int32, Double, UnsafeMutablePointer<Double>!, Int32)

Rank-k update—multiplies a symmetric matrix by its transpose and adds a second matrix (double precision).