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cxsy

Subtract the elements of an output one-dimensional single-precision complex floating-point ndarray from the corresponding elements in an input one-dimensional single-precision complex floating-point ndarray and assign the results to the output ndarray.

This BLAS extension implements the operation

$$\mathbf{y} = \mathbf{x} - \mathbf{y}$$

This API is a specialized version of the package @stdlib/blas-ext/base/ndarray/caxpby with α = 1 and β = -1 and performs element-wise subtraction between two complex vectors.

Installation

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

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md 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

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

cxsy( arrays )

Subtracts the elements of an output one-dimensional single-precision complex floating-point ndarray from the corresponding elements in an input one-dimensional single-precision complex floating-point ndarray and assigns the results to the output ndarray.

var Complex64Vector = require( '@stdlib/ndarray-vector-complex64' );

var x = new Complex64Vector( [ 1.0, 2.0, 3.0, -1.0, 0.0, 1.0 ] );
var y = new Complex64Vector( [ 2.0, 1.0, -1.0, 3.0, 4.0, 0.0 ] );

cxsy( [ x, y ] );
// y => <ndarray>[ <Complex64>[ -1.0, 1.0 ], <Complex64>[ 4.0, -4.0 ], <Complex64>[ -4.0, 1.0 ] ]

The function has the following parameters:

• arrays: array-like object containing the following ndarrays:

  • a one-dimensional input ndarray.
  • a one-dimensional output ndarray.

Notes

• The output ndarray is modified in-place (i.e., the output ndarray is mutated).

Examples

var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var Complex64Vector = require( '@stdlib/ndarray-vector-complex64' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var cxsy = require( '@stdlib/blas-ext-base-ndarray-cxsy' );

var opts = {
    'dtype': 'float32'
};

var x = new Complex64Vector( discreteUniform( 20, -100, 100, opts ) );
console.log( ndarray2array( x ) );

var y = new Complex64Vector( discreteUniform( 20, -100, 100, opts ) );
console.log( ndarray2array( y ) );

cxsy( [ x, y ] );
console.log( ndarray2array( y ) );

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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

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License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.