https://github.com/nirvanasupermind/numerical-computation
Javascript port of numerical analysis, featuring approximations of non-elementary functions such as tetration and erf, along with numerical differentiation, integration, and more.
https://github.com/nirvanasupermind/numerical-computation
javascript math mathematics numerical-analysis
Last synced: 12 months ago
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Javascript port of numerical analysis, featuring approximations of non-elementary functions such as tetration and erf, along with numerical differentiation, integration, and more.
- Host: GitHub
- URL: https://github.com/nirvanasupermind/numerical-computation
- Owner: nirvanasupermind
- License: mit
- Created: 2020-06-03T06:35:28.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-23T01:30:11.000Z (almost 6 years ago)
- Last Synced: 2025-06-01T07:10:29.158Z (about 1 year ago)
- Topics: javascript, math, mathematics, numerical-analysis
- Language: JavaScript
- Homepage:
- Size: 64.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# numerical-computation
A numerical analysis toolkit in Javascript, featuring derivatives, integration, matrices, tetration and more. It will be updated as and when new features are available. Below is a documentation of the installation process and all the current functions supported.
# Usage
To install, you can clone the file in a terminal using `git clone https://github.com/nirvanasupermind/numerical-computation/` or install it locally.
Note that numerical uses require.js, so you need to use a `define` statement to import numerical:
```
define([""], {
var obj = {
func1: ,
variable1:
}
return obj
})
```
And if you are using an html file:
`numerical/
Where `` is the local file URL of numerical.js in your computer. For more info on require.js, check out their official site, and for info on Github installation, check out Github support.
# API
##