Scale a single-precision complex floating-point vector by a single-precision floating-point constant.
npm install @stdlib/blas-base-csscalWe 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!
About stdlib...
[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]
> Scale a single-precision complex floating-point vector by a single-precision floating-point constant.
``bash`
npm install @stdlib/blas-base-csscal
`javascript`
var csscal = require( '@stdlib/blas-base-csscal' );
#### csscal( N, alpha, x, strideX )
Scales a single-precision complex floating-point vector by a single-precision floating-point constant.
`javascript
var Complex64Array = require( '@stdlib/array-complex64' );
var x = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
csscal( 3, 2.0, x, 1 );
// x =>
`
The function has the following parameters:
- N: number of indexed elements.
- alpha: scalar constant.
- x: input [Complex64Array][@stdlib/array/complex64].x
- strideX: stride length for .
The N and stride parameters determine which elements in x are scaled by alpha. For example, to scale every other element in x by alpha,
`javascript
var Complex64Array = require( '@stdlib/array-complex64' );
var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
csscal( 2, 2.0, x, 2 );
// x =>
`
Note that indexing is relative to the first index. To introduce an offset, use [typed array][mdn-typed-array] views.
`javascript
var Complex64Array = require( '@stdlib/array-complex64' );
// Initial array:
var x0 = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
// Create an offset view:
var x1 = new Complex64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
// Scale every element in x1:`
csscal( 3, 2.0, x1, 1 );
// x0 =>
#### csscal.ndarray( N, alpha, x, strideX, offsetX )
Scales a single-precision complex floating-point vector by a single-precision floating-point constant using alternative indexing semantics.
`javascript
var Complex64Array = require( '@stdlib/array-complex64' );
var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
csscal.ndarray( 3, 2.0, x, 1, 0 );
// x =>
`
The function has the following additional parameters:
- offsetX: starting index for x.
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 scale every other element in the input strided array starting from the second element,
`javascript
var Complex64Array = require( '@stdlib/array-complex64' );
var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
csscal.ndarray( 2, 2.0, x, 2, 1 );
// x =>
`
- If N <= 0, both functions return x unchanged.csscal()
- corresponds to the [BLAS][blas] level 1 function [csscal][csscal].
`javascript
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var Complex64 = require( '@stdlib/complex-float32-ctor' );
var csscal = require( '@stdlib/blas-base-csscal' );
function rand() {
return new Complex64( discreteUniform( 0, 10 ), discreteUniform( -5, 5 ) );
}
var x = filledarrayBy( 10, 'complex64', rand );
console.log( x.toString() );
csscal( x.length, 2.0, x, 1 );
console.log( x.toString() );
`
*
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]
---
See [LICENSE][stdlib-license].
Copyright © 2016-2026. The Stdlib [Authors][stdlib-authors].
[npm-image]: http://img.shields.io/npm/v/@stdlib/blas-base-csscal.svg
[npm-url]: https://npmjs.org/package/@stdlib/blas-base-csscal
[test-image]: https://github.com/stdlib-js/blas-base-csscal/actions/workflows/test.yml/badge.svg?branch=v0.1.1
[test-url]: https://github.com/stdlib-js/blas-base-csscal/actions/workflows/test.yml?query=branch:v0.1.1
[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/blas-base-csscal/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/blas-base-csscal?branch=main
[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg
[chat-url]: https://stdlib.zulipchat.com
[stdlib]: https://github.com/stdlib-js/stdlib
[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors
[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules
[deno-url]: https://github.com/stdlib-js/blas-base-csscal/tree/deno
[deno-readme]: https://github.com/stdlib-js/blas-base-csscal/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/blas-base-csscal/tree/umd
[umd-readme]: https://github.com/stdlib-js/blas-base-csscal/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/blas-base-csscal/tree/esm
[esm-readme]: https://github.com/stdlib-js/blas-base-csscal/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/blas-base-csscal/blob/main/branches.md
[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/blas-base-csscal/main/LICENSE
[blas]: http://www.netlib.org/blas
[csscal]: https://www.netlib.org/lapack/explore-html/d2/de8/group__scal_ga40d50a435a5fcf16cf41fa80d746819f.html#ga40d50a435a5fcf16cf41fa80d746819f
[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
[@stdlib/array/complex64]: https://www.npmjs.com/package/@stdlib/array-complex64