Calculate the standard deviation of a strided array using Welford's algorithm.
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Updated
Aug 3, 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.
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.
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 sum of strided array elements, ignoring NaN values and using pairwise summation.
Calculate the standard deviation of a strided array.
Calculate the minimum absolute value of a single-precision floating-point strided array.
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 range of a strided array, ignoring NaN values.
Calculate the range of a strided array according to a mask.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Apply a binary function accepting and returning double-precision floating-point numbers to corresponding elements in two double-precision floating-point strided input arrays and assign each result to an element in a double-precision floating-point strided output array.
Round each element in a double-precision floating-point strided array toward positive infinity.
Round each element in a single-precision floating-point strided array toward zero according to a strided mask array.
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