csum

Compute the sum of all elements in a one-dimensional single-precision complex floating-point ndarray.

Installation

npm install @stdlib/blas-ext-base-ndarray-csum

Usage

var csum = require( '@stdlib/blas-ext-base-ndarray-csum' );

csum( arrays )

Computes the sum of all elements in a one-dimensional single-precision complex floating-point ndarray.

var Complex64Array = require( '@stdlib/array-complex64' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );

var xbuf = new Complex64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
var x = new ndarray( 'complex64', xbuf, [ 2 ], [ 1 ], 0, 'row-major' );

var v = csum( [ x ] );
// returns <Complex64>[ 5.0, 5.0 ]

The function has the following parameters:

• arrays: array-like object containing a one-dimensional input ndarray.

Notes

• If provided an empty one-dimensional ndarray, the function returns 0.0 + 0.0i.

Examples

var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var Complex64Array = require( '@stdlib/array-complex64' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var csum = require( '@stdlib/blas-ext-base-ndarray-csum' );

var xbuf = discreteUniform( 10, -50, 50, {
    'dtype': 'float32'
});
xbuf = new Complex64Array( xbuf );

var x = new ndarray( 'complex64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var v = csum( [ x ] );
console.log( v );

Notice

This package is part of 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, see the main project repository.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.