stdlib-js/stats-base-ndarray-dmeank...

Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray using an improved Kahan–Babuška algorithm.

Python

Apache License 2.0

This is a JavaScript package for computing the arithmetic mean of a one-dimensional double-precision floating-point ndarray using an improved Kahan–Babuška algorithm. It is part of stdlib, a standard library for JavaScript and Node.js with an emphasis on numerical and scientific computing, and is intended for developers working with numerical computations who need precise arithmetic mean calculations for floating-point data.

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Support the dependencies of stdlib-js/stats-base-ndarray-dmeankbn

stdlib-js/ndarray-base-data-buffer

Return the underlying data buffer of a provided ndarray.

stdlib-js/ndarray-base-numel-dimension

Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.

stdlib-js/ndarray-base-offset

Return the index offset specifying the underlying buffer index of the first iterated ndarray element.

stdlib-js/ndarray-base-stride

Return the stride along a specified dimension for a provided ndarray.

stdlib-js/stats-strided-dmeankbn

Calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.

stdlib-js/types

stdlib TypeScript type declarations.

stdlib-js/array-float64

Float64Array.

stdlib-js/math-base-assert-is-nan

Test if a double-precision floating-point numeric value is NaN.

stdlib-js/math-base-assert-is-positive-zero

Test if a double-precision floating-point numeric value is positive zero.

stdlib-js/math-base-special-pow

Exponential function.

stdlib-js/ndarray-base-ctor

Base multidimensional array.

stdlib-js/ndarray-to-array

Convert an ndarray to a generic array.

stdlib-js/random-array-discrete-uniform

Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.

stdlib-js/random-array-uniform

Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

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