Function

cblas_ssyrk(_:_:_:_:_:_:_:_:_:_:_:)

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

Declaration

func cblas_ssyrk(_ __Order: CBLAS_ORDER, _ __Uplo: CBLAS_UPLO, _ __Trans: CBLAS_TRANSPOSE, _ __N: Int32, _ __K: Int32, _ __alpha: Float, _ __A: UnsafePointer<Float>!, _ __lda: Int32, _ __beta: Float, _ __C: UnsafeMutablePointer<Float>!, _ __ldc: 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'.

Trans

Specifies whether to use matrix A ('N' or 'n') or the transpose of A ('T', 't', 'C', or 'c').

N

Order of matrix C.

K

Number of columns in matrix A (or number of rows if matrix A is transposed).

alpha

Scaling factor for matrix A.

A

Matrix A.

lda

Leading dimension of array containing matrix A.

beta

Scaling factor for matrix C.

C

Matrix C.

ldc

Leading dimension of array containing matrix C.

Discussion

Calculates alpha*A*AT + beta*C; if transposed, calculates alpha*AT*A + beta*C.

See Also

Single-Precision Float Matrix Functions

func cblas_sasum(Int32, UnsafePointer<Float>!, Int32) -> Float

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

func cblas_saxpy(Int32, Float, UnsafePointer<Float>!, Int32, UnsafeMutablePointer<Float>!, Int32)

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

func cblas_snrm2(Int32, UnsafePointer<Float>!, Int32) -> Float

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

func cblas_sscal(Int32, Float, UnsafeMutablePointer<Float>!, Int32)

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

func cblas_sspmv(CBLAS_ORDER, CBLAS_UPLO, Int32, Float, UnsafePointer<Float>!, UnsafePointer<Float>!, Int32, Float, UnsafeMutablePointer<Float>!, Int32)

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

func cblas_sspr(CBLAS_ORDER, CBLAS_UPLO, Int32, Float, UnsafePointer<Float>!, Int32, UnsafeMutablePointer<Float>!)

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

func cblas_ssymv(CBLAS_ORDER, CBLAS_UPLO, Int32, Float, UnsafePointer<Float>!, Int32, UnsafePointer<Float>!, Int32, Float, UnsafeMutablePointer<Float>!, Int32)

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

func cblas_ssyr(CBLAS_ORDER, CBLAS_UPLO, Int32, Float, UnsafePointer<Float>!, Int32, UnsafeMutablePointer<Float>!, Int32)

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