cmul
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 );
var re = real( v );
var im = imag( v );
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 <complex.h>
double complex z1 = 5.0 + 3.0*I;
double complex z2 = -2.0 + 1.0*I;
double complex out = stdlib_base_cmul( z1, z2 );
The function accepts the following arguments:
- z1:
[in] double complex
input value. - z2:
[in] double complex
input value.
double complex stdlib_base_cmul( const double complex z1, const double complex z2 );
Examples
#include "stdlib/math/base/ops/cmul.h"
#include <stdio.h>
#include <complex.h>
int main() {
double complex x[] = { 3.14+1.5*I, -3.14-1.5*I, 0.0+0.0*I, 0.0/0.0+0.0/0.0*I };
double complex v;
double complex y;
int i;
for ( i = 0; i < 4; i++ ) {
v = x[ i ];
y = stdlib_base_cmul( v, v );
printf( "z = %lf + %lfi\ncmul(z, z) = %lf + %lfi\n", creal( v ), cimag( v ), creal( y ), cimag( y ) );
}
}
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.
License
See LICENSE.
Copyright
Copyright © 2016-2022. The Stdlib Authors.