{"id":29395224,"url":"https://github.com/stdlib-js/blas-base-sger","last_synced_at":"2025-07-10T11:27:16.156Z","repository":{"id":303434893,"uuid":"1012426773","full_name":"stdlib-js/blas-base-sger","owner":"stdlib-js","description":"Perform the rank 1 operation `A = α*x*y^T + A`.","archived":false,"fork":false,"pushed_at":"2025-07-07T15:23:17.000Z","size":417,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-07T16:44:54.565Z","etag":null,"topics":["algebra","array","blas","float","float32","float32array","javascript","level-2","linear","math","mathematics","ndarray","node","node-js","nodejs","sger","stdlib","subroutines"],"latest_commit_sha":null,"homepage":"https://github.com/stdlib-js/stdlib","language":"JavaScript","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},"funding":{"github":["stdlib-js"],"open_collective":"stdlib","tidelift":"npm/@stdlib/stdlib"}},"created_at":"2025-07-02T10:10:56.000Z","updated_at":"2025-07-07T15:21:34.000Z","dependencies_parsed_at":"2025-07-07T16:45:26.874Z","dependency_job_id":"a81d1647-9064-4e8c-842e-640da2b44738","html_url":"https://github.com/stdlib-js/blas-base-sger","commit_stats":null,"previous_names":["stdlib-js/blas-base-sger"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/stdlib-js/blas-base-sger","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-sger","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-sger/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-sger/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-sger/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stdlib-js","download_url":"https://codeload.github.com/stdlib-js/blas-base-sger/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fblas-base-sger/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264572223,"owners_count":23630204,"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","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","float","float32","float32array","javascript","level-2","linear","math","mathematics","ndarray","node","node-js","nodejs","sger","stdlib","subroutines"],"created_at":"2025-07-10T11:27:15.253Z","updated_at":"2025-07-10T11:27:16.143Z","avatar_url":"https://github.com/stdlib-js.png","language":"JavaScript","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# sger\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 Perform the rank 1 operation `A = α*x*y^T + A`.\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/blas-base-sger\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 sger = require( '@stdlib/blas-base-sger' );\n```\n\n#### sger( order, M, N, α, x, sx, y, sy, A, lda )\n\nPerforms the rank 1 operation `A = α*x*y^T + A`, where `α` is a scalar, `x` is an `M` element vector, `y` is an `N` element vector, and `A` is an `M` by `N` matrix.\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\n\nvar A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );\nvar x = new Float32Array( [ 1.0, 1.0 ] );\nvar y = new Float32Array( [ 1.0, 1.0, 1.0 ] );\n\nsger( 'row-major', 2, 3, 1.0, x, 1, y, 1, A, 3 );\n// A =\u003e \u003cFloat32Array\u003e[ 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ]\n```\n\nThe function has the following parameters:\n\n-   **order**: storage layout.\n-   **M**: number of rows in the matrix `A`.\n-   **N**: number of columns in the matrix `A`.\n-   **α**: scalar constant.\n-   **x**: an `M` element [`Float32Array`][mdn-float32array].\n-   **sx**: stride length for `x`.\n-   **y**: an `N` element [`Float32Array`][mdn-float32array].\n-   **sy**: stride length for `y`.\n-   **A**: input matrix stored in linear memory as a [`Float32Array`][mdn-float32array].\n-   **lda**: stride of the first dimension of `A` (leading dimension of `A`).\n\nThe stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to iterate over every other element in `x` and `y`,\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\n\nvar A = new Float32Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );\nvar x = new Float32Array( [ 1.0, 0.0, 1.0, 0.0 ] );\nvar y = new Float32Array( [ 1.0, 0.0, 1.0, 0.0, 1.0, 0.0 ] );\n\nsger( 'column-major', 2, 3, 1.0, x, 2, y, 2, A, 2 );\n// A =\u003e \u003cFloat32Array\u003e[ 2.0, 5.0, 3.0, 6.0, 4.0, 7.0 ]\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 Float32Array = require( '@stdlib/array-float32' );\n\n// Initial arrays...\nvar x0 = new Float32Array( [ 0.0, 1.0, 1.0 ] );\nvar y0 = new Float32Array( [ 0.0, 1.0, 1.0, 1.0 ] );\nvar A = new Float32Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );\n\n// Create offset views...\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element\nvar y1 = new Float32Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element\n\nsger( 'column-major', 2, 3, 1.0, x1, -1, y1, -1, A, 2 );\n// A =\u003e \u003cFloat32Array\u003e[ 2.0, 5.0, 3.0, 6.0, 4.0, 7.0 ]\n```\n\n#### sger.ndarray( M, N, α, x, sx, ox, y, sy, oy, A, sa1, sa2, oa )\n\nPerforms the rank 1 operation `A = α*x*y^T + A`, using alternative indexing semantics and where `α` is a scalar, `x` is an `M` element vector, `y` is an `N` element vector, and `A` is an `M` by `N` matrix.\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\n\nvar A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );\nvar x = new Float32Array( [ 1.0, 1.0 ] );\nvar y = new Float32Array( [ 1.0, 1.0, 1.0 ] );\n\nsger.ndarray( 2, 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 );\n// A =\u003e \u003cFloat32Array\u003e[ 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ]\n```\n\nThe function has the following additional parameters:\n\n-   **sa1**: stride of the first dimension of `A`.\n-   **sa2**: stride of the second dimension of `A`.\n-   **oa**: starting index for `A`.\n-   **ox**: starting index for `x`.\n-   **oy**: starting index for `y`.\n\nWhile [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\n\nvar A = new Float32Array( [ 0.0, 0.0, 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );\nvar x = new Float32Array( [ 0.0, 1.0, 0.0, 1.0, 0.0 ] );\nvar y = new Float32Array( [ 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0 ] );\n\nsger.ndarray( 2, 3, 1.0, x, 2, 1, y, 2, 1, A, 1, 2, 2 );\n// A =\u003e \u003cFloat32Array\u003e[ 0.0, 0.0, 2.0, 5.0, 3.0, 6.0, 4.0, 7.0 ]\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n## Notes\n\n-   `sger()` corresponds to the [BLAS][blas] level 2 function [`sger`][blas-sger].\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 sger = require( '@stdlib/blas-base-sger' );\n\nvar opts = {\n    'dtype': 'float32'\n};\n\nvar M = 3;\nvar N = 5;\n\nvar A = discreteUniform( M*N, 0, 255, opts );\nvar x = discreteUniform( M, 0, 255, opts );\nvar y = discreteUniform( N, 0, 255, opts );\n\nsger( 'row-major', M, N, 1.0, x, 1, y, 1, A, N );\nconsole.log( A );\n\nsger.ndarray( M, N, 1.0, x, 1, 0, y, 1, 0, A, 1, M, 0 );\nconsole.log( A );\n\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/sger.h\"\n```\n\n#### c_sger( layout, M, N, alpha, \\*X, strideX, \\*Y, strideY, \\*A, LDA )\n\nPerforms the rank 1 operation `A = alpha*x*y^T + A`, where `alpha` is a scalar, `X` is an `M` element vector, `Y` is an `N` element vector, and `A` is an `M`-by-`N` matrix.\n\n```c\n#include \"stdlib/blas/base/shared.h\"\n\nfloat A[ 3*4 ] = {\n   0.0f, 0.0f, 0.0f, 0.0f,\n   0.0f, 0.0f, 0.0f, 0.0f,\n   0.0f, 0.0f, 0.0f, 0.0f\n};\n\nconst float x[ 3 ] = { 1.0f, 4.0f, 0.0f };\nconst float y[ 4 ] = { 0.0f, 1.0f, 2.0f, 3.0f };\n\nc_sger( CblasRowMajor, 3, 4, 1.0f, x, 1, y, 1, A, 4 );\n```\n\nThe function accepts the following arguments:\n\n-   **layout**: `[in] CBLAS_LAYOUT` storage layout.\n-   **M**: `[in] CBLAS_INT` number of rows in the matrix `A`.\n-   **N**: `[in] CBLAS_INT` number of columns in the matrix `A`.\n-   **alpha**: `[in] float` scalar constant.\n-   **X**: `[in] float*` an `M` element vector.\n-   **strideX**: `[in] CBLAS_INT` stride length for `X`.\n-   **Y**: `[in] float*` an `N` element vector.\n-   **strideY**: `[in] CBLAS_INT` stride length for `Y`.\n-   **A**: `[inout] float*` input matrix.\n-   **LDA**: `[in] CBLAS_INT` stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).\n\n```c\nvoid c_sger( const CBLAS_LAYOUT layout, const CBLAS_INT M, const CBLAS_INT N, const float alpha, const float *X, const CBLAS_INT strideX, const float *Y, const CBLAS_INT strideY, float *A, const CBLAS_INT LDA );\n```\n\n#### c_sger_ndarray( M, N, alpha, \\*X, sx, ox, \\*Y, sy, oy, \\*A, sa1, sa2, oa )\n\nPerforms the rank 1 operation `A = alpha*x*y^T + A`, using alternative indexing semantics and where `alpha` is a scalar, `X` is an `M` element vector, `Y` is an `N` element vector, and `A` is an `M`-by-`N` matrix.\n\n```c\n#include \"stdlib/blas/base/shared.h\"\n\nfloat A[ 3*4 ] = {\n   0.0f, 0.0f, 0.0f, 0.0f,\n   0.0f, 0.0f, 0.0f, 0.0f,\n   0.0f, 0.0f, 0.0f, 0.0f\n};\n\nconst float x[ 3 ] = { 1.0f, 4.0f, 0.0f };\nconst float y[ 4 ] = { 0.0f, 1.0f, 2.0f, 3.0f };\n\nc_sger_ndarray( 3, 4, 1.0f, x, 1, 0, y, 1, 0, A, 4, 1, 0 );\n```\n\nThe function accepts the following arguments:\n\n-   **layout**: `[in] CBLAS_LAYOUT` storage layout.\n-   **M**: `[in] CBLAS_INT` number of rows in the matrix `A`.\n-   **N**: `[in] CBLAS_INT` number of columns in the matrix `A`.\n-   **alpha**: `[in] float` scalar constant.\n-   **X**: `[in] float*` an `M` element vector.\n-   **sx**: `[in] CBLAS_INT` stride length for `X`.\n-   **ox**: `[in] CBLAS_INT` starting index for `X`.\n-   **Y**: `[in] float*` an `N` element vector.\n-   **sy**: `[in] CBLAS_INT` stride length for `Y`.\n-   **oy**: `[in] CBLAS_INT` starting index for `Y`.\n-   **A**: `[inout] float*` input matrix.\n-   **sa1**: `[in] CBLAS_INT` stride of the first dimension of `A`.\n-   **sa2**: `[in] CBLAS_INT` stride of the second dimension of `A`.\n-   **oa**: `[in] CBLAS_INT` starting index for `A`.\n\n```c\nvoid c_sger_ndarray( const CBLAS_INT M, const CBLAS_INT N, const float alpha, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const float *Y, const CBLAS_INT strideY, const CBLAS_INT offsetY, float *A, const CBLAS_INT strideA1, const CBLAS_INT strideA2, const CBLAS_INT offsetA );\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/sger.h\"\n#include \"stdlib/blas/base/shared.h\"\n#include \u003cstdio.h\u003e\n\nint main( void ) {\n   // Define a 3x4 matrix stored in row-major order:\n   float A[ 3*4 ] = {\n      0.0f, 0.0f, 0.0f, 0.0f,\n      0.0f, 0.0f, 0.0f, 0.0f,\n      0.0f, 0.0f, 0.0f, 0.0f\n   };\n   // Define `x` and `y^T` vectors:\n   const float x[ 3 ] = { 1.0f, 4.0f, 0.0f };       // M\n   const float y[ 4 ] = { 0.0f, 1.0f, 2.0f, 3.0f }; // N\n\n   // Specify the number of rows and columns:\n   const int M = 3;\n   const int N = 4;\n\n   // Specify stride lengths:\n   const int strideX = 1;\n   const int strideY = 1;\n\n   // Perform operation:\n   c_sger( CblasRowMajor, M, N, 1.0f, x, strideX, y, strideY, A, N );\n\n   // Print the result:\n   for ( int i = 0; i \u003c M; i++ ) {\n      for ( int j = 0; j \u003c N; j++ ) {\n         printf( \"A[%i,%i] = %f\\n\", i, j, A[ (i*N)+j ] );\n      }\n   }\n\n   // Perform operation using alternative indexing semantics:\n   c_sger( CblasRowMajor, M, N, 1.0f, x, strideX, 0, y, 0, strideY, A, N, 1, 0 );\n\n   // Print the result:\n   for ( int i = 0; i \u003c M; i++ ) {\n      for ( int j = 0; j \u003c N; j++ ) {\n         printf( \"A[%i,%i] = %f\\n\", i, j, A[ (i*N)+j ] );\n      }\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-sger.svg\n[npm-url]: https://npmjs.org/package/@stdlib/blas-base-sger\n\n[test-image]: https://github.com/stdlib-js/blas-base-sger/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/blas-base-sger/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/blas-base-sger/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/blas-base-sger?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/blas-base-sger.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/blas-base-sger/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-sger/tree/deno\n[deno-readme]: https://github.com/stdlib-js/blas-base-sger/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/blas-base-sger/tree/umd\n[umd-readme]: https://github.com/stdlib-js/blas-base-sger/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/blas-base-sger/tree/esm\n[esm-readme]: https://github.com/stdlib-js/blas-base-sger/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/blas-base-sger/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/blas-base-sger/main/LICENSE\n\n[blas]: http://www.netlib.org/blas\n\n[blas-sger]: https://www.netlib.org/lapack/explore-html/d8/d75/group__ger_ga95baec6bb0a84393d7bc67212b566ab0.html\n\n[mdn-float32array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float32Array\n\n[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray\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-sger","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fblas-base-sger","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fblas-base-sger/lists"}