Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray using a one-pass trial mean algorithm with pairwise summation.
JavaScript
0
0
Apache License 2.0
This project is a specialized library for computing the arithmetic mean of one-dimensional double-precision floating-point ndarrays using a one-pass trial mean algorithm with pairwise summation. It is part of stdlib, a comprehensive JavaScript standard library focused on numerical and scientific computing, making it suitable for developers working on data analysis, scientific computing, or statistical applications in Node.js or browser environments.
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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 a one-pass trial mean algorithm with pairwise summation.
stdlib TypeScript type declarations.
Float64Array.
Test if a double-precision floating-point numeric value is NaN.
Exponential function.
Base multidimensional array.
Convert an ndarray to a generic array.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
tap-producing test harness for node and browsers
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Minimal TAP output formatter.
Benchmark harness.
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