# VDC Pure JS implementation of van der Corput low-discrepancy sequences. ## Installation Available on [npm vdc](http://npm.im/vdc): ``` $ npm install vdc ``` ## Usage The exported function `VDC` accepts a `opts` object with the following fields: - `b` (default `2`) base for the sequence. - `n` (default `0`) starting index for the sequence. Calling without arguments will default to the aforementioned values. The object returned by `VDC` exposes a `next()` method to get the next element. The field `last` holds the most recently generated value (accessing the field does not trigger a recalculation) ## Sample Session ``` var VDC = require('vdc') var opts = {'n':0, 'b':2}; var generator = VDC(opts); for(var i = 0; i != 10; ++i) console.log(generator.next()); ``` The expected output is ``` 0 (0/1) 0.5 (1/2) 0.25 (1/4) 0.75 (3/4) 0.125 (1/8) 0.625 (5/8) 0.375 (3/8) 0.875 (7/8) 0.0625 (1/16) 0.5625 (9/16) ``` ## Notes `0` is the first value. Some sources (notably Wikipedia) start the sequence at `1/2`, but others (Glasserman "Monte Carlo Methods in Financial Engineering") claim that the original sequence definition started at `0`. ## License Please consult the attached LICENSE file for details. All rights not explicitly granted by the Apache 2.0 license are reserved by the Original Author. ## Badges [![Build Status](https://travis-ci.org/SheetJS/js-vdc.svg?branch=master)](https://travis-ci.org/SheetJS/js-vdc) [![Coverage Status](http://img.shields.io/coveralls/SheetJS/js-vdc/master.svg)](https://coveralls.io/r/SheetJS/js-vdc?branch=master) [![Analytics](https://ga-beacon.appspot.com/UA-36810333-1/SheetJS/js-vdc?pixel)](https://github.com/SheetJS/js-vdc)