Exponential function.
Multiply a double-precision floating-point number by an integer power of two.
ES Math-related intrinsics and helpers, robustly cached.
mdast extension to parse and serialize math
micromark extension to support math (`$C_L$`)
remark plugin to parse and stringify math
Math and string formula parser.
rehype plugin to transform inline and block math with KaTeX
Math and string formula parser.
Khan Academy's new expression editor for the mobile web.
do power 2 digits
Experimental math classes for loaders.gl
math-random is an isomorphic, drop-in replacement for `Math.random` that uses cryptographically secure random number generation, where available
JavaScript utilities with respect to emerging standard
A flexible math expression evaluator
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
do power 2 digits
C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.
Test if a double-precision floating-point numeric value is NaN.
🐊Putout plugin adds ability to convert 'Math.pow()' to 'exponentiation operator'
Power Assert in JavaScript
Parse math interval
Geospatial classes
Collection of math utilities
Omega is a powerful set of extensions to the basic ruby standard. Things like efficient memoization, meta-helpers, easy class tree traversal and advanced math are included.
This is a simple gem that helps to implement a couple of math operations such as addition, substraction, multiplication, division, roots, power and percents. Enjoy!
SassScript extension to bring the math behind Photoshop's powerful soft-light gradient blending mode to Sass, which eliminates the need for making soft-light gradient backgrounds manually.
Using this package, you can do powerful pattern recognition easily from your shell command line using a simple suite of tools. Applications include music cateogrization, text classification, handwritten digit recognition, and evolutionary tree reconstruction. The technique is based on a very general theoretical notion of Kolmogorov Complexity, and so is undoubtedly applicable to many as yet unknown disciplines. See the webpage for research papers explaining the math behind these techniques.
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