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@stdlib/random-iter-triangular

Create an iterator for generating pseudorandom numbers drawn from a triangular distribution.

https://github.com/stdlib-js/random-iter-triangular

Science Score: 44.0%

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Keywords

continuous generator iterator javascript math mathematics node node-js nodejs prng pseudorandom rand random rng seed seedable statistics stats stdlib triangular
Last synced: 4 months ago · JSON representation ·

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Create an iterator for generating pseudorandom numbers drawn from a triangular distribution.

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continuous generator iterator javascript math mathematics node node-js nodejs prng pseudorandom rand random rng seed seedable statistics stats stdlib triangular
Created over 4 years ago · Last pushed over 1 year ago
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README.md

About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

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Triangular Random Numbers

NPM version Build Status Coverage Status <!-- dependencies -->

Create an iterator for generating pseudorandom numbers drawn from a triangular distribution.

## Installation ```bash npm install @stdlib/random-iter-triangular ``` Alternatively, - To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]). - If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions). - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]). The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships. To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
## Usage ```javascript var iterator = require( '@stdlib/random-iter-triangular' ); ``` #### iterator( a, b, c\[, options] ) Returns an iterator for generating pseudorandom numbers drawn from a [triangular][triangular] distribution with parameters `a` (minimum support), `b` (maximum support), and `c` (mode). ```javascript var it = iterator( 2.0, 5.0, 3.0 ); // returns var r = it.next().value; // returns r = it.next().value; // returns r = it.next().value; // returns // ... ``` If the condition `a <= c <= b` is not satisfied, the function throws an error. ```javascript var it = iterator( 13.0, 9.0, 0.5 ); // throws ``` The function accepts the following `options`: - **prng**: pseudorandom number generator for generating uniformly distributed pseudorandom numbers on the interval `[0,1)`. If provided, the function **ignores** both the `state` and `seed` options. In order to seed the returned iterator, one must seed the provided `prng` (assuming the provided `prng` is seedable). - **seed**: pseudorandom number generator seed. - **state**: a [`Uint32Array`][@stdlib/array/uint32] containing pseudorandom number generator state. If provided, the function ignores the `seed` option. - **copy**: `boolean` indicating whether to copy a provided pseudorandom number generator state. Setting this option to `false` allows sharing state between two or more pseudorandom number generators. Setting this option to `true` ensures that a returned iterator has exclusive control over its internal pseudorandom number generator state. Default: `true`. - **iter**: number of iterations. To use a custom PRNG as the underlying source of uniformly distributed pseudorandom numbers, set the `prng` option. ```javascript var minstd = require( '@stdlib/random-base-minstd' ); var it = iterator( 2.0, 4.0, 2.5, { 'prng': minstd.normalized }); var r = it.next().value; // returns ``` To return an iterator having a specific initial state, set the iterator `state` option. ```javascript var bool; var it1; var it2; var r; var i; it1 = iterator( 2.0, 4.0, 2.5 ); // Generate pseudorandom numbers, thus progressing the generator state: for ( i = 0; i < 1000; i++ ) { r = it1.next().value; } // Create a new iterator initialized to the current state of `it1`: it2 = iterator( 2.0, 4.0, 2.5, { 'state': it1.state }); // Test that the generated pseudorandom numbers are the same: bool = ( it1.next().value === it2.next().value ); // returns true ``` To seed the iterator, set the `seed` option. ```javascript var it1 = iterator( 2.0, 4.0, 2.5, { 'seed': 12345 }); var r1 = it1.next().value; // returns var it2 = iterator( 2.0, 4.0, 2.5, { 'seed': 12345 }); var r2 = it2.next().value; // returns var bool = ( r1 === r2 ); // returns true ``` To limit the number of iterations, set the `iter` option. ```javascript var it = iterator( 2.0, 4.0, 3.5, { 'iter': 2 }); var r = it.next().value; // returns r = it.next().value; // returns r = it.next().done; // returns true ``` The returned iterator protocol-compliant object has the following properties: - **next**: function which returns an iterator protocol-compliant object containing the next iterated value (if one exists) assigned to a `value` property and a `done` property having a `boolean` value indicating whether the iterator is finished. - **return**: function which closes an iterator and returns a single (optional) argument in an iterator protocol-compliant object. - **seed**: pseudorandom number generator seed. If provided a `prng` option, the property value is `null`. - **seedLength**: length of generator seed. If provided a `prng` option, the property value is `null`. - **state**: writable property for getting and setting the generator state. If provided a `prng` option, the property value is `null`. - **stateLength**: length of generator state. If provided a `prng` option, the property value is `null`. - **byteLength**: size (in bytes) of generator state. If provided a `prng` option, the property value is `null`. - **PRNG**: underlying pseudorandom number generator.
## Notes - If an environment supports `Symbol.iterator`, the returned iterator is iterable. - If PRNG state is "shared" (meaning a state array was provided during iterator creation and **not** copied) and one sets the underlying generator state to a state array having a different length, the iterator does **not** update the existing shared state and, instead, points to the newly provided state array. In order to synchronize the output of the underlying generator according to the new shared state array, the state array for **each** relevant iterator and/or PRNG must be **explicitly** set. - If PRNG state is "shared" and one sets the underlying generator state to a state array of the same length, the PRNG state is updated (along with the state of all other iterator and/or PRNGs sharing the PRNG's state array).
## Examples ```javascript var iterator = require( '@stdlib/random-iter-triangular' ); var it; var r; // Create a seeded iterator for generating pseudorandom numbers: it = iterator( 2.0, 5.0, 4.0, { 'seed': 1234, 'iter': 10 }); // Perform manual iteration... while ( true ) { r = it.next(); if ( r.done ) { break; } console.log( r.value ); } ```
* * * ## See Also - [`@stdlib/random-base/triangular`][@stdlib/random/base/triangular]: triangular distributed pseudorandom numbers.
* * * ## Notice This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more. For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib]. #### Community [![Chat][chat-image]][chat-url] --- ## License See [LICENSE][stdlib-license]. ## Copyright Copyright © 2016-2024. The Stdlib [Authors][stdlib-authors].

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Standard library for JavaScript.

Citation (CITATION.cff) 

cff-version: 1.2.0
title: stdlib
message: >-
  If you use this software, please cite it using the
  metadata from this file.

type: software

authors:
  - name: The Stdlib Authors
    url: https://github.com/stdlib-js/stdlib/graphs/contributors

repository-code: https://github.com/stdlib-js/stdlib
url: https://stdlib.io

abstract: |
  Standard library for JavaScript and Node.js.

keywords:
  - JavaScript
  - Node.js
  - TypeScript
  - standard library
  - scientific computing
  - numerical computing
  - statistical computing

license: Apache-2.0 AND BSL-1.0

date-released: 2016

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npmjs.org: @stdlib/random-iter-triangular

Create an iterator for generating pseudorandom numbers drawn from a triangular distribution.

  • Homepage: https://stdlib.io
  • License: Apache-2.0
  • Latest release: 0.2.1
    published almost 2 years ago
  • Versions: 9
  • Dependent Packages: 3
  • Dependent Repositories: 1
  • Downloads: 41 Last month
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planeshifter rreusser stdlib-bot kgryte
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  • @stdlib/random-base-triangular ^0.0.x
  • @stdlib/string-format ^0.0.x
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