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@stdlib/math-base-ops-cmul

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@stdlib/math-base-ops-cmul

Multiply two double-precision complex floating-point numbers.

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About stdlib...

We 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!

cmul

NPM version Build Status Coverage Status

Multiply two double-precision complex floating-point numbers.

Installation

npm install @stdlib/math-base-ops-cmul

Usage

var cmul = require( '@stdlib/math-base-ops-cmul' );
cmul( z1, z2 )

Multiplies two double-precision complex floating-point numbers.

var Complex128 = require( '@stdlib/complex-float64' );
var real = require( '@stdlib/complex-real' );
var imag = require( '@stdlib/complex-imag' );

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

var v = cmul( z1, z2 );
// returns <Complex128>

var re = real( v );
// returns -13.0

var im = imag( v );
// returns -1.0

Examples

var Complex128 = require( '@stdlib/complex-float64' );
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var cmul = require( '@stdlib/math-base-ops-cmul' );

var rand;
var z1;
var z2;
var z3;
var i;

rand = discreteUniform( -50, 50 );
for ( i = 0; i < 100; i++ ) {
    z1 = new Complex128( rand(), rand() );
    z2 = new Complex128( rand(), rand() );
    z3 = cmul( z1, z2 );
    console.log( '(%s) * (%s) = %s', z1.toString(), z2.toString(), z3.toString() );
}

C APIs

Usage

#include "stdlib/math/base/ops/cmul.h"
stdlib_base_cmul( z1, z2 )

Multiplies two double-precision complex floating-point numbers.

#include "stdlib/complex/float64.h"
#include "stdlib/complex/real.h"
#include "stdlib/complex/imag.h"

stdlib_complex128_t z1 = stdlib_complex128( 5.0, 3.0 );
stdlib_complex128_t z2 = stdlib_complex128( -2.0, 1.0 );

stdlib_complex128_t out = stdlib_base_cmul( z1, z2 );

double re = stdlib_real( out );
// returns -13.0

double im = stdlib_imag( out );
// returns -1.0

The function accepts the following arguments:

  • z1: [in] stdlib_complex128_t input value.
  • z2: [in] stdlib_complex128_t input value.
stdlib_complex128_t stdlib_base_cmul( const stdlib_complex128_t z1, const stdlib_complex128_t z2 );

Examples

#include "stdlib/math/base/ops/cmul.h"
#include "stdlib/complex/float64.h"
#include "stdlib/complex/reim.h"
#include <stdio.h>

int main( void ) {
    const stdlib_complex128_t x[] = {
        stdlib_complex128( 3.14, 1.5 ),
        stdlib_complex128( -3.14, 1.5 ),
        stdlib_complex128( 0.0, -0.0 ),
        stdlib_complex128( 0.0/0.0, 0.0/0.0 )
    };

    stdlib_complex128_t v;
    stdlib_complex128_t y;
    double re;
    double im;
    int i;
    for ( i = 0; i < 4; i++ ) {
        v = x[ i ];
        stdlib_reim( v, &re, &im );
        printf( "z = %lf + %lfi\n", re, im );

        y = stdlib_base_cmul( v, v );
        stdlib_reim( y, &re, &im );
        printf( "cmul(z, z) = %lf + %lfi\n", re, im );
    }
}

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.

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License

See LICENSE.

Copyright © 2016-2023. The Stdlib Authors.

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Package last updated on 24 Sep 2023

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