Calculate the standard deviation of a strided array using Welford's algorithm.
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Updated
Sep 1, 2024 - 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 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 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 a two-pass error correction algorithm.
Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
Calculate the minimum absolute value of a single-precision floating-point strided 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 single-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the range of a strided array according to a mask, ignoring NaN values.
Calculate the variance of a strided array using a one-pass textbook algorithm.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
Calculate the maximum value of a strided array.
Compute the absolute value of each element retrieved from a strided input array via a callback function and assign each result to an element in a strided output array.
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