Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.
JavaScript
2
0
Apache License 2.0
This package is a JavaScript library for calculating the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm. It is part of stdlib, a standard library for JavaScript and Node.js, and is designed for numerical and scientific computing. The package provides both JavaScript and C APIs for efficient computation, making it suitable for developers working on high-performance numerical applications.
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Support the dependencies of stdlib-js/stats-base-smeankbn
Test if a value is an Error object.
Calculate the sum of single-precision floating-point strided array elements.
Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Convert a double-precision floating-point number to the nearest single-precision floating-point number.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Wrap `require` in a try/catch block.
Float32Array.
Check if the runtime is a web browser.
Test if a double-precision floating-point numeric value is NaN.
Round a double-precision floating-point number toward negative infinity.
Exponential function.
Round a numeric value to the nearest integer.
Uniformly distributed pseudorandom numbers between 0 and 1.
Proxies nodejs require in order to allow overriding dependencies during testing.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/stats-base-smeankbn
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