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Stdlib Authors","url":"https://github.com/stdlib-js/stdlib/graphs/contributors"},"license":"Apache-2.0","homepage":"https://stdlib.io","keywords":["stdlib","stdmath","mathematics","math","statistics","stats","prng","pseudorandom","random","rand","randint","randu","uniform","generator","lcg","minstd","lehmer","park","miller","park-miller","seed","seedable"],"repository":{"type":"git","url":"git://github.com/stdlib-js/random-base-minstd.git"},"description":"A linear congruential pseudorandom number generator (LCG) based on Park and Miller.","contributors":[{"name":"The Stdlib Authors","url":"https://github.com/stdlib-js/stdlib/graphs/contributors"}],"maintainers":[{"name":"stdlib-bot","email":"kgryte+stdlibbot@gmail.com"},{"name":"kgryte","email":"kgryte@gmail.com"},{"name":"planeshifter","email":"pgb@andrew.cmu.edu"},{"name":"rreusser","email":"rsreusser@gmail.com"}],"readme":"<!--\n\n@license Apache-2.0\n\nCopyright (c) 2018 The Stdlib Authors.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n-->\n\n\n<details>\n  <summary>\n    About stdlib...\n  </summary>\n  <p>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.</p>\n  <p>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.</p>\n  <p>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.</p>\n  <p>To join us in bringing numerical computing to the web, get started by checking us out on <a href=\"https://github.com/stdlib-js/stdlib\">GitHub</a>, and please consider <a href=\"https://opencollective.com/stdlib\">financially supporting stdlib</a>. We greatly appreciate your continued support!</p>\n</details>\n\n# MINSTD\n\n[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->\n\n> A linear congruential pseudorandom number generator ([LCG][lcg]) based on Park and Miller.\n\n<section class=\"installation\">\n\n## Installation\n\n```bash\nnpm install @stdlib/random-base-minstd\n```\n\n</section>\n\n<section class=\"usage\">\n\n## Usage\n\n```javascript\nvar minstd = require( '@stdlib/random-base-minstd' );\n```\n\n#### minstd()\n\nReturns a pseudorandom integer on the interval `[1, 2147483646]`.\n\n```javascript\nvar r = minstd();\n// returns <number>\n```\n\n#### minstd.normalized()\n\nReturns a pseudorandom number on the interval `[0,1)`.\n\n```javascript\nvar r = minstd.normalized();\n// returns <number>\n```\n\n#### minstd.factory( \\[options] )\n\nReturns a linear congruential pseudorandom number generator ([LCG][lcg]).\n\n```javascript\nvar rand = minstd.factory();\n```\n\nThe function accepts the following `options`:\n\n-   **seed**: pseudorandom number generator seed.\n-   **state**: an [`Int32Array`][@stdlib/array/int32] containing pseudorandom number generator state. If provided, the function ignores the `seed` option.\n-   **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`.\n\nBy default, a random integer is used to seed the returned generator. To seed the generator, provide either an `integer` on the interval `[1, 2147483646]`\n\n```javascript\nvar rand = minstd.factory({\n    'seed': 1234\n});\n\nvar r = rand();\n// returns 20739838\n```\n\nor, for arbitrary length seeds, an array-like `object` containing signed 32-bit integers\n\n```javascript\nvar Int32Array = require( '@stdlib/array-int32' );\n\nvar rand = minstd.factory({\n    'seed': new Int32Array( [ 1234 ] )\n});\n\nvar r = rand();\n// returns 20739838\n```\n\nTo return a generator having a specific initial state, set the generator `state` option.\n\n```javascript\n// Generate pseudorandom numbers, thus progressing the generator state:\nvar r;\nvar i;\nfor ( i = 0; i < 1000; i++ ) {\n    r = minstd();\n}\n\n// Create a new PRNG initialized to the current state of `minstd`:\nvar rand = minstd.factory({\n    'state': minstd.state\n});\n\n// Test that the generated pseudorandom numbers are the same:\nvar bool = ( rand() === minstd() );\n// returns true\n```\n\n#### minstd.NAME\n\nThe generator name.\n\n```javascript\nvar str = minstd.NAME;\n// returns 'minstd'\n```\n\n#### minstd.MIN\n\nMinimum possible value.\n\n```javascript\nvar min = minstd.MIN;\n// returns 1\n```\n\n#### minstd.MAX\n\nMaximum possible value.\n\n```javascript\nvar max = minstd.MAX;\n// returns 2147483646\n```\n\n#### minstd.seed\n\nThe value used to seed `minstd()`.\n\n```javascript\n// Generate pseudorandom values...\nvar r;\nvar i;\nfor ( i = 0; i < 100; i++ ) {\n    r = minstd();\n}\n\n// Generate the same pseudorandom values...\nvar rand = minstd.factory({\n    'seed': minstd.seed\n});\nfor ( i = 0; i < 100; i++ ) {\n    r = rand();\n}\n```\n\n#### minstd.seedLength\n\nLength of generator seed.\n\n```javascript\nvar len = minstd.seedLength;\n// returns <number>\n```\n\n#### minstd.state\n\nWritable property for getting and setting the generator state.\n\n```javascript\nvar r = minstd();\n// returns <number>\n\nr = minstd();\n// returns <number>\n\n// ...\n\n// Get the current state:\nvar state = minstd.state;\n// returns <Int32Array>\n\nr = minstd();\n// returns <number>\n\nr = minstd();\n// returns <number>\n\n// Reset the state:\nminstd.state = state;\n\n// Replay the last two pseudorandom numbers:\nr = minstd();\n// returns <number>\n\nr = minstd();\n// returns <number>\n\n// ...\n```\n\n#### minstd.stateLength\n\nLength of generator state.\n\n```javascript\nvar len = minstd.stateLength;\n// returns <number>\n```\n\n#### minstd.byteLength\n\nSize (in bytes) of generator state.\n\n```javascript\nvar sz = minstd.byteLength;\n// returns <number>\n```\n\n#### minstd.toJSON()\n\nSerializes the pseudorandom number generator as a JSON object.\n\n```javascript\nvar o = minstd.toJSON();\n// returns { 'type': 'PRNG', 'name': '...', 'state': {...}, 'params': [] }\n```\n\n</section>\n\n<!-- /.usage -->\n\n<section class=\"notes\">\n\n## Notes\n\n-   The generator has a period of approximately `2.1e9` (see [Numerical Recipes in C, 2nd Edition](#references), p. 279).\n-   An [LCG][lcg] is fast and uses little memory. On the other hand, because the generator is a simple [linear congruential generator][lcg], 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. For more on the advantages and disadvantages of [LCGs][lcg], see [Wikipedia][pros-cons].\n-   If PRNG state is \"shared\" (meaning a state array was provided during PRNG creation and **not** copied) and one sets the generator state to a state array having a different length, the PRNG does **not** update the existing shared state and, instead, points to the newly provided state array. In order to synchronize PRNG output according to the new shared state array, the state array for **each** relevant PRNG must be **explicitly** set.\n-   If PRNG state is \"shared\" and one sets the generator state to a state array of the same length, the PRNG state is updated (along with the state of all other PRNGs sharing the PRNG's state array).\n\n</section>\n\n<!-- /.notes -->\n\n<section class=\"examples\">\n\n## Examples\n\n<!-- eslint no-undef: \"error\" -->\n\n```javascript\nvar minstd = require( '@stdlib/random-base-minstd' );\n\n// Generate pseudorandom numbers...\nvar i;\nfor ( i = 0; i < 100; i++ ) {\n    console.log( minstd() );\n}\n\n// Create a new pseudorandom number generator...\nvar seed = 1234;\nvar rand = minstd.factory({\n    'seed': seed\n});\nfor ( i = 0; i < 100; i++ ) {\n    console.log( rand() );\n}\n\n// Create another pseudorandom number generator using a previous seed...\nrand = minstd.factory({\n    'seed': minstd.seed\n});\nfor ( i = 0; i < 100; i++ ) {\n    console.log( rand() );\n}\n```\n\n</section>\n\n<!-- /.examples -->\n\n* * *\n\n<section class=\"references\">\n\n## References\n\n-   Park, S. K., and K. W. Miller. 1988. \"Random Number Generators: Good Ones Are Hard to Find.\" _Communications of the ACM_ 31 (10). New York, NY, USA: ACM: 1192–1201. doi:[10.1145/63039.63042][@park:1988].\n-   Press, William H., Brian P. Flannery, Saul A. Teukolsky, and William T. Vetterling. 1992. _Numerical Recipes in C: The Art of Scientific Computing, Second Edition_. Cambridge University Press.\n\n</section>\n\n<!-- /.references -->\n\n<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->\n\n<section class=\"related\">\n\n* * *\n\n## See Also\n\n-   <span class=\"package-name\">[`@stdlib/random-array/minstd`][@stdlib/random/array/minstd]</span><span class=\"delimiter\">: </span><span class=\"description\">create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).</span>\n-   <span class=\"package-name\">[`@stdlib/random-iter/minstd`][@stdlib/random/iter/minstd]</span><span class=\"delimiter\">: </span><span class=\"description\">create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.</span>\n-   <span class=\"package-name\">[`@stdlib/random-streams/minstd`][@stdlib/random/streams/minstd]</span><span class=\"delimiter\">: </span><span class=\"description\">create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.</span>\n-   <span class=\"package-name\">[`@stdlib/random-base/minstd-shuffle`][@stdlib/random/base/minstd-shuffle]</span><span class=\"delimiter\">: </span><span class=\"description\">A linear congruential pseudorandom number generator (LCG) whose output is shuffled.</span>\n-   <span class=\"package-name\">[`@stdlib/random-base/mt19937`][@stdlib/random/base/mt19937]</span><span class=\"delimiter\">: </span><span class=\"description\">A 32-bit Mersenne Twister pseudorandom number generator.</span>\n-   <span class=\"package-name\">[`@stdlib/random-base/randi`][@stdlib/random/base/randi]</span><span class=\"delimiter\">: </span><span class=\"description\">pseudorandom numbers having integer values.</span>\n\n</section>\n\n<!-- /.related -->\n\n<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n\n<section class=\"main-repo\" >\n\n* * *\n\n## Notice\n\nThis 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.\n\nFor 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].\n\n#### Community\n\n[![Chat][chat-image]][chat-url]\n\n---\n\n## License\n\nSee [LICENSE][stdlib-license].\n\n\n## Copyright\n\nCopyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].\n\n</section>\n\n<!-- /.stdlib -->\n\n<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n<section class=\"links\">\n\n[npm-image]: http://img.shields.io/npm/v/@stdlib/random-base-minstd.svg\n[npm-url]: https://npmjs.org/package/@stdlib/random-base-minstd\n\n[test-image]: https://github.com/stdlib-js/random-base-minstd/actions/workflows/test.yml/badge.svg?branch=v0.2.3\n[test-url]: https://github.com/stdlib-js/random-base-minstd/actions/workflows/test.yml?query=branch:v0.2.3\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/random-base-minstd/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/random-base-minstd?branch=main\n\n<!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/random-base-minstd.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/random-base-minstd/main\n\n-->\n\n[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg\n[chat-url]: https://stdlib.zulipchat.com\n\n[stdlib]: https://github.com/stdlib-js/stdlib\n\n[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors\n\n[umd]: https://github.com/umdjs/umd\n[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules\n\n[deno-url]: https://github.com/stdlib-js/random-base-minstd/tree/deno\n[deno-readme]: https://github.com/stdlib-js/random-base-minstd/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/random-base-minstd/tree/umd\n[umd-readme]: https://github.com/stdlib-js/random-base-minstd/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/random-base-minstd/tree/esm\n[esm-readme]: https://github.com/stdlib-js/random-base-minstd/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/random-base-minstd/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/random-base-minstd/main/LICENSE\n\n[lcg]: https://en.wikipedia.org/wiki/Linear_congruential_generator\n\n[pros-cons]: https://en.wikipedia.org/wiki/Linear_congruential_generator#Advantages_and_disadvantages_of_LCGs\n\n[@park:1988]: http://dx.doi.org/10.1145/63039.63042\n\n[@stdlib/array/int32]: https://www.npmjs.com/package/@stdlib/array-int32\n\n<!-- <related-links> -->\n\n[@stdlib/random/array/minstd]: https://www.npmjs.com/package/@stdlib/random-array-minstd\n\n[@stdlib/random/iter/minstd]: https://www.npmjs.com/package/@stdlib/random-iter-minstd\n\n[@stdlib/random/streams/minstd]: https://www.npmjs.com/package/@stdlib/random-streams-minstd\n\n[@stdlib/random/base/minstd-shuffle]: https://www.npmjs.com/package/@stdlib/random-base-minstd-shuffle\n\n[@stdlib/random/base/mt19937]: https://www.npmjs.com/package/@stdlib/random-base-mt19937\n\n[@stdlib/random/base/randi]: https://www.npmjs.com/package/@stdlib/random-base-randi\n\n<!-- </related-links> -->\n\n</section>\n\n<!-- /.links -->\n","readmeFilename":"README.md"}