Function

cblas_stpmv(_:_:_:_:_:_:_:_:)

Multiplies a triangular matrix by a vector, then adds a vector (single precision).

Declaration

func cblas_stpmv(_ __Order: CBLAS_ORDER, _ __Uplo: CBLAS_UPLO, _ __TransA: CBLAS_TRANSPOSE, _ __Diag: CBLAS_DIAG, _ __N: Int32, _ __Ap: UnsafePointer<Float>!, _ __X: UnsafeMutablePointer<Float>!, _ __incX: 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'.

TransA

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

Diag

Specifies whether the matrix is unit triangular. Possible values are 'U' (unit triangular) or 'N' (not unit triangular).

N

Order of matrix A and the number of elements in vectors x and y.

Ap

Triangular matrix A.

X

Vector x.

incX

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

Discussion

Computes A*x, AT*x, or conjg(AT)*x and stores the results in X.

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).

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

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