Function

cblas_dsymm(_:_:_:_:_:_:_:_:_:_:_:_:_:)

Multiplies a matrix by a symmetric matrix (double-precision).

Declaration

func cblas_dsymm(_ __Order: CBLAS_ORDER, _ __Side: CBLAS_SIDE, _ __Uplo: CBLAS_UPLO, _ __M: Int32, _ __N: Int32, _ __alpha: Double, _ __A: UnsafePointer<Double>!, _ __lda: Int32, _ __B: UnsafePointer<Double>!, _ __ldb: Int32, _ __beta: Double, _ __C: UnsafeMutablePointer<Double>!, _ __ldc: Int32)

Parameters

Order

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

Side

Determines the order in which the matrices should be multiplied.

Uplo

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

M

Number of rows in matrices A and C.

N

Number of columns in matrices B and C.

alpha

Scaling factor for the product of matrices A and B.

A

Matrix A.

lda

The size of the first dimention of matrix A; if you are passing a matrix A[m][n], the value should be m.

B

Matrix B.

ldb

The size of the first dimention of matrix B; if you are passing a matrix B[m][n], the value should be m.

beta

Scaling factor for matrix C.

C

Matrix C.

ldc

The size of the first dimention of matrix C; if you are passing a matrix C[m][n], the value should be m.

Discussion

This function multiplies A * B or B * A (depending on the value of Side) and multiplies the resulting matrix by alpha. It then multiplies matrix C by beta. It stores the sum of these two products in matrix C.

Thus, it calculates either

C←αAB + βC

or

C←αBA + βC

where

A = AT

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).