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Convert a double-precision floating-point number to the nearest single-precision floating-point number.

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stdlib-js/number-float64-base-to-float32

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toFloat32

NPM version Build Status Coverage Status

Convert a double-precision floating-point number to the nearest single-precision floating-point number.

Installation

npm install @stdlib/number-float64-base-to-float32

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 float64ToFloat32 = require( '@stdlib/number-float64-base-to-float32' );

float64ToFloat32( x )

Converts a double-precision floating-point number to the nearest single-precision floating-point number.

var y = float64ToFloat32( 1.337 );
// returns 1.3370000123977661

Notes

  • This function may be used as a polyfill for the ES2015 built-in Math.fround.

Examples

var randu = require( '@stdlib/random-base-randu' );
var float64ToFloat32 = require( '@stdlib/number-float64-base-to-float32' );

var f64;
var f32;
var i;

// Convert random double-precision floating-point numbers to the nearest single-precision floating-point number...
for ( i = 0; i < 1000; i++ ) {
    f64 = randu() * 100.0;
    f32 = float64ToFloat32( f64 );
    console.log( 'float64: %d => float32: %d', f64, f32 );
}

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

Copyright © 2016-2024. The Stdlib Authors.