This project is a JavaScript library for compiling a module that evaluates a polynomial. It is intended for developers working on numerical and scientific computing applications, particularly those using the stdlib library for JavaScript and Node.js. The library provides a robust and efficient way to evaluate polynomials using Horner's rule for computation.
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Support the dependencies of stdlib-js/math-base-tools-evalpoly-compile
Float32Array.
Test if a value is a number having an integer value.
Read the entire contents of a file.
Replace search occurrences with a replacement string.
stdlib TypeScript type declarations.
Float64Array.
Check if the runtime is a web browser.
Test if a value is a string.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Uniformly distributed pseudorandom numbers between 0 and 1.
Wrap `require` in a try/catch block.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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