Float32 Packages

Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point number.

Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.

Compute the L2-norm of a complex single-precision floating-point vector.

Copy values from x into y.

Calculate the dot product of two single-precision floating-point vectors.

Calculate the dot product of two single-precision floating-point vectors with extended accumulation.

Calculate the L2-norm of a single-precision floating-point vector.

Apply a plane rotation.

Construct a Givens plane rotation.

Multiply a single-precision floating-point vector by a constant.

Interchange two single-precision floating-point vectors.

Find the index of the first element having the maximum absolute value.

Calculate the variance of a single-precision floating-point strided array.

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.

Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Apply a unary function to a single-precision floating-point strided input array according to a strided mask array and assign results to a single-precision floating-point strided output array.

Apply a binary function to single-precision floating-point strided input arrays according to a strided mask array and assign results to a single-precision floating-point strided output array.