Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.
npm install @stdlib/blas-ext-base-ndarray-zsumWe 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]
> Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.
``bash`
npm install @stdlib/blas-ext-base-ndarray-zsum
`javascript`
var zsum = require( '@stdlib/blas-ext-base-ndarray-zsum' );
#### zsum( arrays )
Computes the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.
`javascript
var Complex128Array = require( '@stdlib/array-complex128' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var xbuf = new Complex128Array( [ 1.0, 3.0, 4.0, 2.0 ] );
var x = new ndarray( 'complex128', xbuf, [ 2 ], [ 1 ], 0, 'row-major' );
var v = zsum( [ x ] );
// returns
`
The function has the following parameters:
- arrays: array-like object containing a one-dimensional input ndarray.
- If provided an empty one-dimensional ndarray, the function returns 0.0 + 0.0i.
`javascript
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var Complex128Array = require( '@stdlib/array-complex128' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var zsum = require( '@stdlib/blas-ext-base-ndarray-zsum' );
var xbuf = discreteUniform( 10, -50, 50, {
'dtype': 'float64'
});
xbuf = new Complex128Array( xbuf );
var x = new ndarray( 'complex128', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );
var v = zsum( [ x ] );
console.log( v );
`
*
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-ext-base-ndarray-zsum.svg
[npm-url]: https://npmjs.org/package/@stdlib/blas-ext-base-ndarray-zsum
[test-image]: https://github.com/stdlib-js/blas-ext-base-ndarray-zsum/actions/workflows/test.yml/badge.svg?branch=v0.1.1
[test-url]: https://github.com/stdlib-js/blas-ext-base-ndarray-zsum/actions/workflows/test.yml?query=branch:v0.1.1
[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/blas-ext-base-ndarray-zsum/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/blas-ext-base-ndarray-zsum?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-ext-base-ndarray-zsum/tree/deno
[deno-readme]: https://github.com/stdlib-js/blas-ext-base-ndarray-zsum/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/blas-ext-base-ndarray-zsum/tree/umd
[umd-readme]: https://github.com/stdlib-js/blas-ext-base-ndarray-zsum/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/blas-ext-base-ndarray-zsum/tree/esm
[esm-readme]: https://github.com/stdlib-js/blas-ext-base-ndarray-zsum/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/blas-ext-base-ndarray-zsum/blob/main/branches.md
[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/blas-ext-base-ndarray-zsum/main/LICENSE