@stdlib/random-array-minstd

Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).

https://github.com/stdlib-js/random-array-minstd

Science Score: 44.0%

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javascript lcg lehmer math mathematics minstd node node-js nodejs prng pseudorandom rand randi randint random randu rng statistics stats stdlib

Last synced: 6 months ago · JSON representation ·

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Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).

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Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 1.32 MB

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javascript lcg lehmer math mathematics minstd node node-js nodejs prng pseudorandom rand randi randint random randu rng statistics stats stdlib

Created about 3 years ago · Last pushed 9 months ago

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Readme Changelog Contributing License Code of conduct Citation Security

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.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

minstd

Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).

## Installation ```bash npm install @stdlib/random-array-minstd ``` 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 minstd = require( '@stdlib/random-array-minstd' ); ``` #### minstd( len\[, options] ) Returns an array containing pseudorandom integers on the interval `[1, 2147483646]`. ```javascript var out = minstd( 10 ); // returns ``` The function has the following parameters: - **len**: output array length. - **options**: function options. The function accepts the following `options`: - **dtype**: output array data type. Must be a [real-valued data type][@stdlib/array/typed-real-dtypes] or "generic". Default: `'float64'`. By default, the function returns a [`Float64Array`][@stdlib/array/float64]. To return an array having a different data type, set the `dtype` option. ```javascript var opts = { 'dtype': 'generic' }; var out = minstd( 10, opts ); // returns [...] ``` #### minstd.normalized( len\[, options] ) Returns an array containing pseudorandom numbers on the interval `[0, 1)`. ```javascript var out = minstd.normalized( 10 ); // returns ``` The function has the following parameters: - **len**: output array length. - **options**: function options. The function accepts the following `options`: - **dtype**: output array data type. Must be a [real-valued floating-point data type][@stdlib/array/typed-real-float-dtypes] or "generic". Default: `'float64'`. By default, the function returns a [`Float64Array`][@stdlib/array/float64]. To return an array having a different data type, set the `dtype` option. ```javascript var opts = { 'dtype': 'generic' }; var out = minstd.normalized( 10, opts ); // returns [...] ``` #### minstd.factory( \[options] ) Returns a function for creating arrays containing pseudorandom numbers generated using a [linear congruential pseudorandom number generator][@stdlib/random/base/minstd] (LCG). ```javascript var random = minstd.factory(); var out = random( 10 ); // returns var len = out.length; // returns 10 out = random.normalized( 10 ); // returns len = out.length; // returns 10 ``` The function accepts the following `options`: - **seed**: pseudorandom number generator seed. - **state**: an [`Int32Array`][@stdlib/array/int32] 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 generator has exclusive control over its internal state. Default: `true`. - **idtype**: default output array data type when generating integers. Must be a [real-valued data type][@stdlib/array/typed-real-dtypes] or "generic". Default: `'float64'`. - **ndtype**: default output array data type when generating normalized numbers. Must be a [real-valued floating-point data type][@stdlib/array/typed-real-float-dtypes] or "generic". Default: `'float64'`. To seed the underlying pseudorandom number generator, set the `seed` option. ```javascript var opts = { 'seed': 12345 }; var random = minstd.factory( opts ); var out = random( 10, opts ); // returns ``` The returned function accepts the following `options`: - **dtype**: output array data type. Must be a [real-valued data type][@stdlib/array/typed-real-dtypes] or "generic". This overrides the default output array data type. The returned function has a `normalized` method which accepts the following `options`: - **dtype**: output array data type. Must be a [real-valued floating-point data type][@stdlib/array/typed-real-float-dtypes] or "generic". This overrides the default output array data type. To override the default output array data type, set the `dtype` option. ```javascript var random = minstd.factory(); var out = random( 10 ); // returns var opts = { 'dtype': 'generic' }; out = random( 10, opts ); // returns [...] ``` #### minstd.PRNG The underlying pseudorandom number generator. ```javascript var prng = minstd.PRNG; // returns ``` #### minstd.seed The value used to seed the underlying pseudorandom number generator. ```javascript var seed = minstd.seed; // returns ``` #### minstd.seedLength Length of underlying pseudorandom number generator seed. ```javascript var len = minstd.seedLength; // returns ``` #### minstd.state Writable property for getting and setting the underlying pseudorandom number generator state. ```javascript var state = minstd.state; // returns ``` #### minstd.stateLength Length of underlying pseudorandom number generator state. ```javascript var len = minstd.stateLength; // returns ``` #### minstd.byteLength Size (in bytes) of underlying pseudorandom number generator state. ```javascript var sz = minstd.byteLength; // returns ```

## Notes - An [LCG][@stdlib/random/base/minstd] is fast and uses little memory. On the other hand, because the generator is a simple [linear congruential generator][@stdlib/random/base/minstd], the generator has recognized shortcomings. By today's PRNG standards, the generator's period is relatively short. More importantly, the "randomness quality" of the generator's output is lacking. These defects make the generator unsuitable, for example, in Monte Carlo simulations and in cryptographic applications. - If PRNG state is "shared" (meaning a state array was provided during function creation and **not** copied) and one sets the underlying generator state to a state array having a different length, the function returned by the `factory` method 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 creation function 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 creation functions and/or PRNGs sharing the PRNG's state array).

## Examples ```javascript var logEach = require( '@stdlib/console-log-each' ); var minstd = require( '@stdlib/random-array-minstd' ); // Create a function for generating random arrays originating from the same state: var random = minstd.factory({ 'state': minstd.state, 'copy': true }); // Generate 3 arrays: var x1 = random.normalized( 5 ); var x2 = random.normalized( 5 ); var x3 = random.normalized( 5 ); // Print the contents: logEach( '%f, %f, %f', x1, x2, x3 ); // Create another function for generating random arrays with the original state: random = minstd.factory({ 'state': minstd.state, 'copy': true }); // Generate a single array which replicates the above pseudorandom number generation sequence: var x4 = random.normalized( 15 ); // Print the contents: logEach( '%f', x4 ); ```

* * * ## 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 © 2016-2025. The Stdlib [Authors][stdlib-authors].

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Login: stdlib-js
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Website: https://stdlib.io
Twitter: stdlibjs
Repositories: 3,692
Profile: https://github.com/stdlib-js

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-array-minstd

Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).

Homepage: https://stdlib.io
License: Apache-2.0
Latest release: 0.2.1
published almost 2 years ago

Versions: 4
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 2 Last month

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Average: 22.4%

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planeshifter rreusser stdlib-bot kgryte

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@stdlib/array-int32 ^0.0.6 development
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@stdlib/utils-define-nonenumerable-read-only-accessor ^0.0.7
@stdlib/utils-define-nonenumerable-read-only-property ^0.0.7
@stdlib/utils-define-nonenumerable-read-write-accessor ^0.0.7

@stdlib/random-array-minstd

Science Score: 44.0%

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