Calculate the standard deviation of a strided array using Welford's algorithm.
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Updated
Dec 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.
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.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
Calculate the cumulative maximum of double-precision floating-point strided array elements.
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 variance of a strided array using a one-pass textbook algorithm.
Calculate the maximum value of a strided array.
Calculate the cumulative sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Calculate the range of a strided array according to a mask, ignoring NaN values.
Calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the variance of a single-precision floating-point strided array.
Standard library strided math functions.
Compute the arcsine of each element retrieved from an input strided array via a callback function.
Calculate the sum of double-precision floating-point strided array elements.
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