Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
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Updated
Jun 5, 2025 - JavaScript
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the mean and variance of a double-precision floating-point strided array.
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 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.
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
Compute an arithmetic mean and unbiased sample variance incrementally.
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
Calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.
Calculate the arithmetic mean of a strided array using Welford's algorithm.
Compute the arithmetic mean of absolute values for all iterated values.
Compute a weighted arithmetic mean incrementally.
Calculate the arithmetic mean of a strided array using pairwise summation.
Create an iterator which iteratively computes a cumulative arithmetic mean of absolute values.
Create an iterator which iteratively computes a cumulative geometric mean.
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