@stdlib/blas-base-gscal

Multiply a vector by a constant.

https://github.com/stdlib-js/blas-base-gscal

Science Score: 44.0%

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Low similarity (14.9%) to scientific vocabulary

Keywords

algebra alpha array blas dscal javascript level-1 linear math mathematics ndarray node node-js nodejs scal scale sscal stdlib subroutines vector

Last synced: 4 months ago · JSON representation ·

Repository

Multiply a vector by a constant.

Basic Info

Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 1.01 MB

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Stars: 2
Watchers: 3
Forks: 0
Open Issues: 0
Releases: 0

Topics

algebra alpha array blas dscal javascript level-1 linear math mathematics ndarray node node-js nodejs scal scale sscal stdlib subroutines vector

Created over 4 years ago · Last pushed 9 months ago

Metadata Files

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!

gscal

Multiply a vector by a scalar constant.

## Installation ```bash npm install @stdlib/blas-base-gscal ``` 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 gscal = require( '@stdlib/blas-base-gscal' ); ``` #### gscal( N, alpha, x, stride ) Multiplies a vector by a scalar constant. ```javascript var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ]; gscal( x.length, 5.0, x, 1 ); // x => [ -10.0, 5.0, 15.0, -25.0, 20.0, 0.0, -5.0, -15.0 ] ``` The function has the following parameters: - **N**: number of indexed elements. - **alpha**: scalar constant. - **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array]. - **stride**: stride length. The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to multiply every other value by a scalar constant: ```javascript var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ]; gscal( 4, 5.0, x, 2 ); // x => [ -10.0, 1.0, 15.0, -5.0, 20.0, 0.0, -5.0, -3.0 ] ``` Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. ```javascript var Float64Array = require( '@stdlib/array-float64' ); // Initial array: var x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] ); // Create an offset view: var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element // Scale every other value: gscal( 3, 5.0, x1, 2 ); // x0 => [ 1.0, -10.0, 3.0, -20.0, 5.0, -30.0 ] ``` If either `N` or `stride` is less than or equal to `0`, the function returns `x` unchanged. #### gscal.ndarray( N, alpha, x, stride, offset ) Multiplies a vector by a scalar constant using alternative indexing semantics. ```javascript var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ]; gscal.ndarray( x.length, 5.0, x, 1, 0 ); // x => [ -10.0, 5.0, 15.0, -25.0, 20.0, 0.0, -5.0, -15.0 ] ``` The function has the following additional parameters: - **offset**: starting index. While [`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 multiply the last three elements: ```javascript var x = [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ]; gscal.ndarray( 3, 5.0, x, 1, x.length-3 ); // x => [ 1.0, -2.0, 3.0, -20.0, 25.0, -30.0 ] ```

## Notes - If `N <= 0`, both functions return `x` unchanged. - `gscal()` corresponds to the [BLAS][blas] level 1 function [`dscal`][dscal] with the exception that this implementation works with any array type, not just Float64Arrays. Depending on the environment, the typed versions ([`dscal`][@stdlib/blas/base/dscal], [`sscal`][@stdlib/blas/base/sscal], etc.) are likely to be significantly more performant. - Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array-base/accessor`][@stdlib/array/base/accessor]).

## Examples ```javascript var discreteUniform = require( '@stdlib/random-array-discrete-uniform' ); var gscal = require( '@stdlib/blas-base-gscal' ); var opts = { 'dtype': 'float64' }; var x = discreteUniform( 10, -100, 100, opts ); console.log( x ); gscal( x.length, 5.0, x, 1 ); console.log( x ); ```

* * * ## 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].

Owner

Name: stdlib
Login: stdlib-js
Kind: organization

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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Total versions: 14
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npmjs.org: @stdlib/blas-base-gscal

Multiply a vector by a constant.

Homepage: https://stdlib.io
License: Apache-2.0
Latest release: 0.2.2
published over 1 year ago

Versions: 14
Dependent Packages: 8
Dependent Repositories: 3
Downloads: 127 Last month

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Dependent packages count: 2.5%

Dependent repos count: 6.4%

Downloads: 7.1%

Average: 9.2%

Stargazers count: 14.5%

Forks count: 15.4%

Maintainers (4)

planeshifter rreusser stdlib-bot kgryte

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type: opencollective
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package.json npm

@stdlib/array-float64 ^0.0.x development
@stdlib/bench ^0.0.x development
@stdlib/math-base-assert-is-nan ^0.0.x development
@stdlib/math-base-special-pow ^0.0.x development
@stdlib/math-base-special-round ^0.0.x development
@stdlib/random-base-randu ^0.0.x development
istanbul ^0.4.1 development
tap-spec 5.x.x development
tape git+https://github.com/kgryte/tape.git#fix/globby development
@stdlib/types ^0.0.x
@stdlib/utils-define-nonenumerable-read-only-property ^0.0.x

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@stdlib/blas-base-gscal

Science Score: 44.0%

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gscal

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