Calculate the standard deviation of a strided array using Welford's algorithm.
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Updated
Jul 5, 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.
Standard library strided math functions.
Standard library strided array special math functions.
Strided array math operations.
Base strided.
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
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 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 sum of double-precision floating-point strided array elements, ignoring NaN values.
Calculate the sum of strided array elements, ignoring NaN values and using pairwise summation.
Calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
Evaluate the ramp function for each element in a single-precision floating-point strided array according to a strided mask array.
Compute the arcsine of each element retrieved from an input strided array via a callback function.
Calculate the range of a strided array according to a mask, ignoring NaN values.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
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 range of a strided array, ignoring NaN values.
Calculate the range of a strided array according to a mask.
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