Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray using Welford's algorithm.
JavaScript
0
0
Apache License 2.0
This package provides a function to compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray using Welford's algorithm. It is part of stdlib, a standard library for JavaScript and Node.js focused on numerical and scientific computing. The package is designed for developers working with numerical data in JavaScript who need a robust, well-tested implementation of mean calculation for floating-point arrays.
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Return the underlying data buffer of a provided ndarray.
Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.
Return the index offset specifying the underlying buffer index of the first iterated ndarray element.
Return the stride along a specified dimension for a provided ndarray.
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
stdlib TypeScript type declarations.
Float64Array.
Test if a double-precision floating-point numeric value is NaN.
Test if a double-precision floating-point numeric value is positive zero.
Exponential function.
Base multidimensional array.
Convert an ndarray to a generic array.
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Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
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