Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.

Calculate the standard deviation of a strided array using Welford's algorithm.

Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.

Calculate the range of a single-precision floating-point strided array according to a mask.

Calculate the standard deviation of a strided array.

Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.

Calculate the maximum value of a strided array.

Calculate the variance of a strided array using a one-pass textbook algorithm.

Calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.

Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.

Calculate the cumulative maximum of double-precision floating-point strided array elements.

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

Calculate the minimum absolute value of a strided array, ignoring NaN values.

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

Calculate the arithmetic mean of a strided array.

Calculate the maximum value of a strided array according to a mask, ignoring NaN values.

Calculate the arithmetic mean of a strided array using ordinary recursive summation.

Calculate the sum of double-precision floating-point strided array elements using pairwise summation.

Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.