Calculate the standard deviation of a strided array using Welford's algorithm.
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Updated
Apr 7, 2025 - JavaScript
Calculate the standard deviation of a strided array using Welford's algorithm.
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.
Evaluate the ramp function for each element in a single-precision floating-point strided array according to a strided mask array.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the standard deviation of a strided array.
Calculate the sum of strided array elements, ignoring NaN values and using pairwise summation.
Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
Calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values.
Calculate the minimum absolute value of a single-precision floating-point strided array.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
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.
Apply a unary function accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array and assign each result to an element in a single-precision floating-point strided output array.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
Compute the arccosine of each element retrieved from an input strided array via a callback function.
Calculate the range of a double-precision floating-point strided array, ignoring NaN values.
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the minimum value of a single-precision floating-point strided array.
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