Function

cblas_dgemm(_:_:_:_:_:_:_:_:_:_:_:_:_:_:)

Multiplies two matrices (double-precision).

Declaration

func cblas_dgemm(_ __Order: CBLAS_ORDER, _ __TransA: CBLAS_TRANSPOSE, _ __TransB: CBLAS_TRANSPOSE, _ __M: Int32, _ __N: Int32, _ __K: 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.

TransA

Specifies whether to transpose matrix A.

TransB

Specifies whether to transpose matrix B.

M

Number of rows in matrices A and C.

N

Number of columns in matrices B and C.

K

Number of columns in matrix A; number of rows in matrix B.

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 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

with optional use of transposed forms of A, B, or both.

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).