Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
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Updated
Apr 27, 2024 - JavaScript
Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Calculate the cumulative minimum absolute value of a strided array.
Calculate the cumulative maximum of a strided array.
Calculate the cumulative maximum absolute value of a strided array.
Apply a function against an accumulator and each element in a collection and return the accumulated result.
Calculate the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Calculate the cumulative sum of single-precision floating-point strided array elements.
Calculate the cumulative sum of double-precision floating-point strided array elements.
Calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.
Create an iterator which iteratively computes a cumulative harmonic mean.
Create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.
Calculate the cumulative maximum absolute value of single-precision floating-point strided array elements.
Calculate the cumulative sum of strided array elements.
Apply a function against an accumulator and each element in a collection and return the accumulated result, iterating from right to left.
Perform a single-pass map-reduce operation against each element in an array and return the accumulated result.
Calculate the cumulative sum of strided array elements using ordinary recursive summation.
Calculate the cumulative minimum of a strided array.
Calculate the cumulative minimum of single-precision floating-point strided array elements.
Reduce the number of dimensions by one of a two-dimensional nested array by applying a function against an accumulator and each element along the innermost dimension and returning the accumulation results as a one-dimensional array.
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