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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["c","compile","eval","evalpoly","evaluate","horner","javascript","math","mathematics","native","node","node-js","nodejs","poly","polynomial","polyval","stdlib"],"created_at":"2024-11-12T03:08:16.751Z","updated_at":"2026-02-12T13:39:27.183Z","avatar_url":"https://github.com/stdlib-js.png","language":"JavaScript","readme":"\u003c!--\n\n@license Apache-2.0\n\nCopyright (c) 2022 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--\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary\u003e\n    About stdlib...\n  \u003c/summary\u003e\n  \u003cp\u003eWe 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.\u003c/p\u003e\n  \u003cp\u003eThe 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.\u003c/p\u003e\n  \u003cp\u003eWhen 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.\u003c/p\u003e\n  \u003cp\u003eTo join us in bringing numerical computing to the web, get started by checking us out on \u003ca href=\"https://github.com/stdlib-js/stdlib\"\u003eGitHub\u003c/a\u003e, and please consider \u003ca href=\"https://opencollective.com/stdlib\"\u003efinancially supporting stdlib\u003c/a\u003e. We greatly appreciate your continued support!\u003c/p\u003e\n\u003c/details\u003e\n\n# evalpoly\n\n[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] \u003c!-- [![dependencies][dependencies-image]][dependencies-url] --\u003e\n\n\u003e Compile a C function for evaluating a [polynomial][@stdlib/math/base/tools/evalpoly].\n\n\u003csection class=\"intro\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/math-base-tools-evalpoly-compile-c\n```\n\n\u003c/section\u003e\n\n\u003csection class=\"usage\"\u003e\n\n## Usage\n\n```javascript\nvar compile = require( '@stdlib/math-base-tools-evalpoly-compile-c' );\n```\n\n#### compile( c\\[, options] )\n\nCompiles a C function for evaluating a [polynomial][@stdlib/math/base/tools/evalpoly] having coefficients `c`.\n\n```javascript\nvar str = compile( [ 3.0, 2.0, 1.0 ] );\n// returns \u003cstring\u003e\n```\n\nThe function supports the following `options`:\n\n-   **dtype**: input argument floating-point data type (e.g., `double` or `float`). Default: `'double'`.\n-   **name**: function name. Default: `'evalpoly'`.\n\nIn the example above, the output string would correspond to the following function:\n\n```c\n/**\n* Evaluates a polynomial.\n*\n* ## Notes\n*\n* -   The implementation uses [Horner's rule][horners-method] for efficient computation.\n*\n* [horners-method]: https://en.wikipedia.org/wiki/Horner%27s_method\n*\n* @param x   value at which to evaluate the polynomial\n* @return    evaluated polynomial\n*/\nstatic double evalpoly( const double x ) {\n    return 3.0 + (x * (2.0 + (x * 1.0)));\n}\n```\n\nTo generate a function having a custom name and supporting single-precision floating-point numbers, provide the corresponding options.\n\n```javascript\nvar opts = {\n    'dtype': 'float',\n    'name': 'polyval123'\n};\nvar str = compile( [ 3.0, 2.0, 1.0 ], opts );\n// returns \u003cstring\u003e\n```\n\nFor the previous example, the output string would correspond to the following function:\n\n```c\n/**\n* Evaluates a polynomial.\n*\n* ## Notes\n*\n* -   The implementation uses [Horner's rule][horners-method] for efficient computation.\n*\n* [horners-method]: https://en.wikipedia.org/wiki/Horner%27s_method\n*\n* @param x   value at which to evaluate the polynomial\n* @return    evaluated polynomial\n*/\nstatic float polyval123( const float x ) {\n    return 3.0f + (x * (2.0f + (x * 1.0f)));\n}\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n## Notes\n\n-   The coefficients should be ordered in **ascending** degree, thus matching summation notation.\n-   The function is intended for **non-browser** environments for the purpose of generating functions for inclusion in source files.\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n## Examples\n\n\u003c!-- eslint no-undef: \"error\" --\u003e\n\n```javascript\nvar discreteUniform = require( '@stdlib/random-array-discrete-uniform' );\nvar compile = require( '@stdlib/math-base-tools-evalpoly-compile-c' );\n\n// Create an array of random coefficients:\nvar coef = discreteUniform( 10, -100, 100 );\n\n// Compile a function for evaluating a polynomial:\nvar str = compile( coef );\nconsole.log( str );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --\u003e\n\n\u003csection class=\"related\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.related --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\n\u003csection class=\"main-repo\" \u003e\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 \u0026copy; 2016-2026. The Stdlib [Authors][stdlib-authors].\n\n\u003c/section\u003e\n\n\u003c!-- /.stdlib --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"links\"\u003e\n\n[npm-image]: http://img.shields.io/npm/v/@stdlib/math-base-tools-evalpoly-compile-c.svg\n[npm-url]: https://npmjs.org/package/@stdlib/math-base-tools-evalpoly-compile-c\n\n[test-image]: https://github.com/stdlib-js/math-base-tools-evalpoly-compile-c/actions/workflows/test.yml/badge.svg?branch=v0.2.2\n[test-url]: https://github.com/stdlib-js/math-base-tools-evalpoly-compile-c/actions/workflows/test.yml?query=branch:v0.2.2\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/math-base-tools-evalpoly-compile-c/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/math-base-tools-evalpoly-compile-c?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/math-base-tools-evalpoly-compile-c.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/math-base-tools-evalpoly-compile-c/main\n\n--\u003e\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[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/math-base-tools-evalpoly-compile-c/main/LICENSE\n\n[@stdlib/math/base/tools/evalpoly]: https://github.com/stdlib-js/math-base-tools-evalpoly\n\n\u003c/section\u003e\n\n\u003c!-- /.links --\u003e\n","funding_links":["https://github.com/sponsors/stdlib-js","https://opencollective.com/stdlib","https://tidelift.com/funding/github/npm/@stdlib/stdlib"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fmath-base-tools-evalpoly-compile-c","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fmath-base-tools-evalpoly-compile-c","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fmath-base-tools-evalpoly-compile-c/lists"}