{"id":25228146,"url":"https://github.com/stdlib-js/blas-base-zdscal","last_synced_at":"2025-10-28T08:51:56.316Z","repository":{"id":273660272,"uuid":"918825815","full_name":"stdlib-js/blas-base-zdscal","owner":"stdlib-js","description":"Scale a double-precision complex floating-point vector by a double-precision floating-point constant.","archived":false,"fork":false,"pushed_at":"2025-09-07T07:11:12.000Z","size":752,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-10-23T01:20:22.634Z","etag":null,"topics":["algebra","array","blas","complex","complex128","javascript","level-1","linear","math","mathematics","ndarray","node","node-js","nodejs","scale","stdlib","subroutines","typed","vector","zdscal"],"latest_commit_sha":null,"homepage":"https://github.com/stdlib-js/stdlib","language":"C","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/stdlib-js.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":"NOTICE","maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null},"funding":{"github":["stdlib-js"],"open_collective":"stdlib","tidelift":"npm/@stdlib/stdlib"}},"created_at":"2025-01-19T00:21:54.000Z","updated_at":"2025-09-07T07:09:12.000Z","dependencies_parsed_at":"2025-01-22T08:26:38.691Z","dependency_job_id":"2be33efc-d64e-41c4-8f55-b818bd165d5f","html_url":"https://github.com/stdlib-js/blas-base-zdscal","commit_stats":null,"previous_names":["stdlib-js/blas-base-zdscal"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/stdlib-js/blas-base-zdscal","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-zdscal","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-zdscal/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-zdscal/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-zdscal/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stdlib-js","download_url":"https://codeload.github.com/stdlib-js/blas-base-zdscal/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-zdscal/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":281410758,"owners_count":26496368,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-28T02:00:06.022Z","response_time":60,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["algebra","array","blas","complex","complex128","javascript","level-1","linear","math","mathematics","ndarray","node","node-js","nodejs","scale","stdlib","subroutines","typed","vector","zdscal"],"created_at":"2025-02-11T09:51:32.930Z","updated_at":"2025-10-28T08:51:56.297Z","avatar_url":"https://github.com/stdlib-js.png","language":"C","readme":"\u003c!--\n\n@license Apache-2.0\n\nCopyright (c) 2025 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# zdscal\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 Scale a double-precision complex floating-point vector by a double-precision floating-point constant.\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/blas-base-zdscal\n```\n\nAlternatively,\n\n-   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]).\n-   If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).\n-   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]).\n\nThe [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.\n\nTo 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.\n\n\u003c/section\u003e\n\n\u003csection class=\"usage\"\u003e\n\n## Usage\n\n```javascript\nvar zdscal = require( '@stdlib/blas-base-zdscal' );\n```\n\n#### zdscal( N, alpha, x, strideX )\n\nScales a double-precision complex floating-point vector by a double-precision floating-point constant.\n\n```javascript\nvar Complex128Array = require( '@stdlib/array-complex128' );\n\nvar x = new Complex128Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );\n\nzdscal( 3, 2.0, x, 1 );\n// x =\u003e \u003cComplex128Array\u003e[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]\n```\n\nThe function has the following parameters:\n\n-   **N**: number of indexed elements.\n-   **alpha**: scalar constant.\n-   **x**: input [`Complex128Array`][@stdlib/array/complex128].\n-   **strideX**: stride length for `x`.\n\nThe `N` and stride parameters determine which elements in `x` are scaled by `alpha`. For example, to scale every other element in `x` by `alpha`,\n\n```javascript\nvar Complex128Array = require( '@stdlib/array-complex128' );\n\nvar x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );\n\nzdscal( 2, 2.0, x, 2 );\n// x =\u003e \u003cComplex128Array\u003e[ 2.0, 4.0, 3.0, 4.0, 10.0, 12.0, 7.0, 8.0 ]\n```\n\nNote that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.\n\n\u003c!-- eslint-disable stdlib/capitalized-comments --\u003e\n\n```javascript\nvar Complex128Array = require( '@stdlib/array-complex128' );\n\n// Initial array:\nvar x0 = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );\n\n// Create an offset view:\nvar x1 = new Complex128Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element\n\n// Scale every element in `x1`:\nzdscal( 3, 2.0, x1, 1 );\n// x0 =\u003e \u003cComplex128Array\u003e[ 1.0, 2.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0 ]\n```\n\n#### zdscal.ndarray( N, alpha, x, strideX, offsetX )\n\nScales a double-precision complex floating-point vector by a double-precision floating-point constant using alternative indexing semantics.\n\n```javascript\nvar Complex128Array = require( '@stdlib/array-complex128' );\n\nvar x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );\n\nzdscal.ndarray( 3, 2.0, x, 1, 0 );\n// x =\u003e \u003cComplex128Array\u003e[ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]\n```\n\nThe function has the following additional parameters:\n\n-   **offsetX**: starting index for `x`.\n\nWhile [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to scale every other element in the input strided array starting from the second element,\n\n```javascript\nvar Complex128Array = require( '@stdlib/array-complex128' );\n\nvar x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );\n\nzdscal.ndarray( 2, 2.0, x, 2, 1 );\n// x =\u003e \u003cComplex128Array\u003e[ 1.0, 2.0, 6.0, 8.0, 5.0, 6.0, 14.0, 16.0 ]\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n## Notes\n\n-   If `N \u003c= 0`, both functions return `x` unchanged.\n-   `zdscal()` corresponds to the [BLAS][blas] level 1 function [`zdscal`][zdscal].\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-base-discrete-uniform' );\nvar filledarrayBy = require( '@stdlib/array-filled-by' );\nvar Complex128 = require( '@stdlib/complex-float64-ctor' );\nvar zdscal = require( '@stdlib/blas-base-zdscal' );\n\nfunction rand() {\n    return new Complex128( discreteUniform( 0, 10 ), discreteUniform( -5, 5 ) );\n}\n\nvar x = filledarrayBy( 10, 'complex128', rand );\nconsole.log( x.toString() );\n\nzdscal( x.length, 2.0, x, 1 );\nconsole.log( x.toString() );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c!-- C interface documentation. --\u003e\n\n* * *\n\n\u003csection class=\"c\"\u003e\n\n## C APIs\n\n\u003c!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"intro\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003c!-- C usage documentation. --\u003e\n\n\u003csection class=\"usage\"\u003e\n\n### Usage\n\n```c\n#include \"stdlib/blas/base/zdscal.h\"\n```\n\n#### c_zdscal( N, alpha, \\*X, strideX )\n\nScales a double-precision complex floating-point vector by a double-precision floating-point constant.\n\n```c\n#include \"stdlib/complex/float64/ctor.h\"\n\nstdlib_complex128_t x[] = {\n    stdlib_complex128( 1.0, 2.0 ),\n    stdlib_complex128( 3.0, 4.0 ),\n    stdlib_complex128( 5.0, 6.0 )\n};\n\nc_zdscal( 3, 2.0, x, 1 );\n```\n\nThe function accepts the following arguments:\n\n-   **N**: `[in] CBLAS_INT` number of indexed elements.\n-   **alpha**: `[in] double` scalar constant.\n-   **X**: `[inout] stdlib_complex128_t*` input array.\n-   **strideX**: `[in] CBLAS_INT` index increment for `x`.\n\n```c\nvoid c_zdscal( const CBLAS_INT N, const double alpha, void *X, const CBLAS_INT strideX );\n```\n\n#### c_zdscal_ndarray( N, alpha, \\*X, strideX, offsetX )\n\nScales a double-precision complex floating-point vector by a double-precision floating-point constant using alternative indexing semantics.\n\n```c\n#include \"stdlib/complex/float64/ctor.h\"\n\nstdlib_complex128_t x[] = {\n    stdlib_complex128( 1.0, 2.0 ),\n    stdlib_complex128( 3.0, 4.0 ),\n    stdlib_complex128( 5.0, 6.0 )\n};\n\nc_zdscal_ndarray( 3, 2.0, x, 1, 0 );\n```\n\nThe function accepts the following arguments:\n\n-   **N**: `[in] CBLAS_INT` number of indexed elements.\n-   **alpha**: `[in] double` scalar constant.\n-   **X**: `[inout] void*` input array.\n-   **strideX**: `[in] CBLAS_INT` index increment for `x`.\n-   **offsetX**: `[in] CBLAS_INT` starting index for `x`.\n\n```c\nvoid c_zdscal_ndarray( const CBLAS_INT N, const double alpha, void *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003c!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003c!-- C API usage examples. --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n### Examples\n\n```c\n#include \"stdlib/blas/base/zdscal.h\"\n#include \"stdlib/complex/float64/ctor.h\"\n#include \"stdlib/complex/float64/real.h\"\n#include \"stdlib/complex/float64/imag.h\"\n#include \u003cstdio.h\u003e\n\nint main( void ) {\n    stdlib_complex128_t x[] = {\n        stdlib_complex128( 1.0, 2.0 ),\n        stdlib_complex128( 3.0, 4.0 ),\n        stdlib_complex128( 5.0, 6.0 ),\n        stdlib_complex128( 7.0, 8.0 )\n    };\n\n    // Specify the number of elements:\n    const int N = 4;\n\n    // Specify the stride length:\n    const int strideX = 1;\n\n    c_zdscal( N, 2.0, (void *)x, strideX );\n\n    // Print the result:\n    for ( int i = 0; i \u003c N; i++ ) {\n        printf( \"x[ %i ] = %lf + %lfj\\n\", i, stdlib_complex128_real( x[ i ] ), stdlib_complex128_imag( x[ i ] ) );\n    }\n\n    c_zdscal_ndarray( N, 2.0, (void *)x, strideX, 0 );\n\n    // Print the result:\n    for ( int i = 0; i \u003c N; i++ ) {\n        printf( \"x[ %i ] = %lf + %lfj\\n\", i, stdlib_complex128_real( x[ i ] ), stdlib_complex128_imag( x[ i ] ) );\n    }\n}\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.c --\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; 2016-2025. 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/blas-base-zdscal.svg\n[npm-url]: https://npmjs.org/package/@stdlib/blas-base-zdscal\n\n[test-image]: https://github.com/stdlib-js/blas-base-zdscal/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/blas-base-zdscal/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/blas-base-zdscal/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/blas-base-zdscal?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/blas-base-zdscal.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/blas-base-zdscal/main\n\n--\u003e\n\n[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg\n[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im\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/blas-base-zdscal/tree/deno\n[deno-readme]: https://github.com/stdlib-js/blas-base-zdscal/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/blas-base-zdscal/tree/umd\n[umd-readme]: https://github.com/stdlib-js/blas-base-zdscal/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/blas-base-zdscal/tree/esm\n[esm-readme]: https://github.com/stdlib-js/blas-base-zdscal/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/blas-base-zdscal/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/blas-base-zdscal/main/LICENSE\n\n[blas]: http://www.netlib.org/blas\n\n[zdscal]: https://www.netlib.org/lapack/explore-html/d2/de8/group__scal_ga40d50a435a5fcf16cf41fa80d746819f.html#ga40d50a435a5fcf16cf41fa80d746819f\n\n[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray\n\n[@stdlib/array/complex128]: https://github.com/stdlib-js/array-complex128\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%2Fblas-base-zdscal","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fblas-base-zdscal","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fblas-base-zdscal/lists"}