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Canonical single-precision complex floating-point NaN.

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stdlib-js/constants-complex64-nan

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NAN

NPM version Build Status Coverage Status

Canonical single-precision complex floating-point NaN.

Installation

npm install @stdlib/constants-complex64-nan

Alternatively,

  • To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
  • If you are using Deno, visit the deno branch (see README for usage intructions).
  • For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var COMPLEX64_NAN = require( '@stdlib/constants-complex64-nan' );

COMPLEX64_NAN

Canonical single-precision complex floating-point NaN.

var realf = require( '@stdlib/complex-float32-real' );
var imagf = require( '@stdlib/complex-float32-imag' );

var re = realf( COMPLEX64_NAN );
// returns NaN

var im = imagf( COMPLEX64_NAN );
// returns NaN

Examples

var realf = require( '@stdlib/complex-float32-real' );
var imagf = require( '@stdlib/complex-float32-imag' );
var Complex64Array = require( '@stdlib/array-complex64' );
var COMPLEX64_NAN = require( '@stdlib/constants-complex64-nan' );

var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
// returns <Complex64Array>

var v = x.get( 0 );
// returns <Complex64>

var re = realf( v );
// returns 1.0

var im = imagf( v );
// returns 2.0

x.fill( COMPLEX64_NAN );

v = x.get( 0 );
// returns <Complex64>

re = realf( v );
// returns NaN

im = imagf( v );
// returns NaN

See Also


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.

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