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Double-precision complex floating-point zero.
To use in Observable,
COMPLEX128_ZERO = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/constants-complex128-zero@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var COMPLEX128_ZERO = require( 'path/to/vendor/umd/constants-complex128-zero/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/constants-complex128-zero@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.COMPLEX128_ZERO;
})();
</script>Double-precision complex floating-point zero.
var real = require( '@stdlib/complex-float64-real' );
var imag = require( '@stdlib/complex-float64-imag' );
var re = real( COMPLEX128_ZERO );
// returns 0.0
var im = imag( COMPLEX128_ZERO );
// returns 0.0<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/complex-float64-real@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/complex-float64-imag@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-complex128@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/constants-complex128-zero@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0 ] );
// returns <Complex128Array>
var v = x.get( 0 );
// returns <Complex128>
var re = real( v );
// returns 1.0
var im = imag( v );
// returns 2.0
x.fill( COMPLEX128_ZERO );
v = x.get( 0 );
// returns <Complex128>
re = real( v );
// returns 0.0
im = imag( v );
// returns 0.0
})();
</script>
</body>
</html>@stdlib/constants-complex64/zero: single-precision complex floating-point zero.
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.
See LICENSE.
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