@stdlib/blas-ext-base-snansumkbn2
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
Calculate the sum of single-precision floating-point strided array elements.
Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.
Calculate the sum of single-precision floating-point strided array elements using pairwise summation.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using extended accumulation.
Calculate the range of a double-precision floating-point strided array, ignoring NaN values.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.