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Normally distributed pseudorandom numbers using the Box-Muller transform.
Small, no dependency library for offsetting polygons. Heavily based on this [CodePen](https://codepen.io/HansMuller/pen/lDfzt) by Hans Muller.
Box-Muller normal distribution generator
ESLint configuration for JavaScript, TypeScript, React & Vue projects, by Julio L. Muller
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
Box Muller algorithm implementation
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
Simple demonastration of Muller's Recurrence problem which demonstartes the floating point roundoff errors
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
TypeScript definitions for sparql-http-client
This is an Angular module to work withe the Muller Avenue group API
Pure double-double precision functions *with strict error bounds*.
Javascript Implementation of Statistical R standalone library rnmath
Ｄｏｗｎｌｏａｄ ｅｂｏｏｋ ｐｄｆ ｍｏｂｉ ｅｐｕｂ Olivier Muller & Anne Didier Anatole Latuile, Tome 09 is available now
Generate a stream of trend-oriented random numbers using a Box Muller transform. Useful for generating sample stock or crypto prices for analysis and testing algo trading applications, or any other application that needs a stream of trend-oriented random
TypeScript definitions for express-as-promise
Substring token search
Modern arbitrary-precision arithmetic library using floating-point expansions.
Machine Learning Utility Functions
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