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@thi.ng/lowdisc

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Note

This is one of 199 standalone projects, maintained as part of the @thi.ng/umbrella monorepo and anti-framework.

🚀 Please help me to work full-time on these projects by sponsoring me on GitHub. Thank you! ❤️

About

n-dimensional low-discrepancy sequence generators/iterators.

This package provides the following n-dimensional low-discrepancy sequence generators, partially based on the article The Unreasonable Effectiveness of Quasirandom Sequences by Martin Roberts.

Halton

Configurable basis for each dimension:

haltonND([2,3])

2D Halton(2,3) sequence

Kronecker

Configurable basis for each dimension:

kroneckerND([1 / 2 ** 0.5, 1 / 5 ** 0.5])

2D Kronecker sequence (Golden ratio)

R2 recurrence

Based on Kronecker with each dimension's base automatically derived from the Plastic number:

plasticND(2)

2D R2 recurrence sequence

Status

BETA - possibly breaking changes forthcoming

Search or submit any issues for this package

Related packages

  • @thi.ng/poisson - nD Stratified grid and Poisson-disc sampling w/ support for spatial density functions and custom PRNGs
  • @thi.ng/random - Pseudo-random number generators w/ unified API, distributions, weighted choices, ID generation

Installation

yarn add @thi.ng/lowdisc

ESM import:

import * as ld from "@thi.ng/lowdisc";

Browser ESM import:

<script type="module" src="https://esm.run/@thi.ng/lowdisc"></script>

JSDelivr documentation

For Node.js REPL:

const ld = await import("@thi.ng/lowdisc");

Package sizes (brotli'd, pre-treeshake): ESM: 456 bytes

Dependencies

Usage examples

Two projects in this repo's /examples directory are using this package:

Screenshot Description Live demo Source
Quasi-random lattice generator Demo Source
Interactive scatter & line plot of low-discrepancy samples Demo Source

API

Generated API docs

TODO

Authors

If this project contributes to an academic publication, please cite it as:

@misc{thing-lowdisc,
  title = "@thi.ng/lowdisc",
  author = "Karsten Schmidt",
  note = "https://thi.ng/lowdisc",
  year = 2020
}

License

© 2020 - 2024 Karsten Schmidt // Apache License 2.0