Function

# cblas_saxpy(_:_:_:_:_:_:)

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

## Parameters

`N`

Number of elements in the vectors.

`alpha`

Scaling factor for the values in `X`.

`X`

Input vector `X`.

`incX`

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

`Y`

Input vector `Y`.

`incY`

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

## Discussion

On return, the contents of vector Y are replaced with the result. The value computed is `(alpha * X[i]) + Y[i]`.

### 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_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_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).