ddot

Calculate the dot product of two one-dimensional double-precision floating-point ndarrays.

The dot product (or scalar product) is defined as

Installation

npm install @stdlib/blas-base-ndarray-ddot

Usage

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

ddot( arrays )

Computes the dot product of two one-dimensional double-precision floating-point ndarrays.

var Float64Array = require( '@stdlib/array-float64' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );

var xbuf = new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
var x = new ndarray( 'float64', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );

var ybuf = new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );
var y = new ndarray( 'float64', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );

var z = ddot( [ x, y ] );
// returns -5.0

The function has the following parameters:

• arrays: array-like object containing two one-dimensional input ndarrays.

Examples

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

var opts = {
    'dtype': 'float64'
};

var xbuf = discreteUniform( 10, 0, 500, opts );
var x = new ndarray( opts.dtype, xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var ybuf = discreteUniform( 10, 0, 255, opts );
var y = new ndarray( opts.dtype, ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( y ) );

var out = ddot( [ x, y ] );
console.log( out );

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.