Calculate the standard deviation of a strided array.
Calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
Fill a strided array with pseudorandom numbers drawn from a beta distribution.
Fill a strided array with arcsine distributed pseudorandom numbers.
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 arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
Calculate the cumulative sum of single-precision floating-point strided array elements.
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
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