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Perform a multiply-add operation involving three double-precision complex floating-point numbers.

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muladd

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Perform a multiply-add operation involving three double-precision complex floating-point numbers.

Usage

import muladd from 'https://cdn.jsdelivr.net/gh/stdlib-js/complex-float64-base-mul-add@deno/mod.js';

You can also import the following named exports from the package:

import { assign, strided } from 'https://cdn.jsdelivr.net/gh/stdlib-js/complex-float64-base-mul-add@deno/mod.js';

muladd( alpha, x, y )

Performs a multiply-add operation involving three double-precision complex floating-point numbers.

import Complex128 from 'https://cdn.jsdelivr.net/gh/stdlib-js/complex-float64-ctor@deno/mod.js';
import real from 'https://cdn.jsdelivr.net/gh/stdlib-js/complex-float64-real@deno/mod.js';
import imag from 'https://cdn.jsdelivr.net/gh/stdlib-js/complex-float64-imag@deno/mod.js';

var z1 = new Complex128( 5.0, 3.0 );
var z2 = new Complex128( -2.0, 1.0 );
var z3 = new Complex128( 7.0, -8.0 );

// Compute `alpha*x + y`:
var v = muladd( z1, z2, z3 );
// returns <Complex128>[ -6.0, -9.0 ]

The function supports the following parameters:

muladd.assign( ar, ai, xr, xi, yr, yi, out, strideOut, offsetOut )

Performs a multiply-add operation involving three double-precision complex floating-point numbers and assigns the results to an output strided array.

import Float64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@deno/mod.js';

var out = new Float64Array( 2 );
var v = muladd.assign( 5.0, 3.0, -2.0, 1.0, 7.0, -8.0, out, 1, 0 );
// returns <Float64Array>[ -6.0, -9.0 ]

var bool = ( out === v );
// returns true

The function supports the following parameters:

  • ar: real component of the first complex number.
  • ai: imaginary component of the first complex number.
  • xr: real component of the second complex number.
  • xi: imaginary component of the second complex number.
  • yr: real component of the third complex number.
  • yi: imaginary component of the third complex number.
  • out: output array.
  • strideOut: stride length for out.
  • offsetOut: starting index for out.

muladd.strided( alpha, sa, oa, x, sx, ox, y, sy, oy, out, so, oo )

Performs a multiply-add operation involving three double-precision complex floating-point numbers stored in real-valued strided array views and assigns results to a provided strided output array.

import Float64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@deno/mod.js';

var z1 = new Float64Array( [ 5.0, 3.0 ] );
var z2 = new Float64Array( [ -2.0, 1.0 ] );
var z3 = new Float64Array( [ 7.0, -8.0 ] );
var out = new Float64Array( 2 );

var v = muladd.strided( z1, 1, 0, z2, 1, 0, z3, 1, 0, out, 1, 0 );
// returns <Float64Array>[ -6.0, -9.0 ]

var bool = ( out === v );
// returns true

The function supports the following parameters:

  • alpha: first complex number strided array view.
  • sa: stride length for alpha.
  • oa: starting index for alpha.
  • x: second complex number strided array view.
  • sx: stride length for x.
  • ox: starting index for x.
  • y: third complex number strided array view.
  • sy: stride length for y.
  • oy: starting index for y.
  • out: output array.
  • so: stride length for out.
  • oo: starting index for out.

Examples

import Complex128Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-complex128@deno/mod.js';
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@deno/mod.js';
import logEachMap from 'https://cdn.jsdelivr.net/gh/stdlib-js/console-log-each-map@deno/mod.js';
import muladd from 'https://cdn.jsdelivr.net/gh/stdlib-js/complex-float64-base-mul-add@deno/mod.js';

// Generate arrays of random values:
var z1 = new Complex128Array( discreteUniform( 200, -50, 50 ) );
var z2 = new Complex128Array( discreteUniform( 200, -50, 50 ) );
var z3 = new Complex128Array( discreteUniform( 200, -50, 50 ) );

// Perform element-wise computation:
logEachMap( '( (%s) * (%s) ) + (%s) = %s', z1, z2, z3, muladd );

Notice

This package is part of stdlib, a standard library 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.

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License

See LICENSE.

Copyright

Copyright © 2016-2025. The Stdlib Authors.

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