What is @stdlib/constants-float64-smallest-normal?
@stdlib/constants-float64-smallest-normal is a package that provides the smallest positive normalized double-precision floating-point number, which is a fundamental constant in numerical computing.
What are @stdlib/constants-float64-smallest-normal's main functionalities?
Accessing the Smallest Normalized Float64 Constant
This feature allows you to access the smallest positive normalized double-precision floating-point number. The code sample demonstrates how to require the package and log the constant value.
const SMALLEST_NORMAL = require('@stdlib/constants-float64-smallest-normal');
console.log(SMALLEST_NORMAL);
Other packages similar to @stdlib/constants-float64-smallest-normal
math-constants
The math-constants package offers a collection of mathematical constants, including the smallest positive normalized double-precision floating-point number. It is comparable to @stdlib/constants-float64-smallest-normal but includes additional constants for various mathematical computations.
Smallest Normal
Smallest positive normalized double-precision floating-point number.
Installation
npm install @stdlib/constants-float64-smallest-normal
Usage
var FLOAT64_SMALLEST_NORMAL = require( '@stdlib/constants-float64-smallest-normal' );
FLOAT64_SMALLEST_NORMAL
Smallest positive normalized double-precision floating-point number.
var bool = ( FLOAT64_SMALLEST_NORMAL === 2.2250738585072014e-308 );
Examples
var FLOAT64_SMALLEST_NORMAL = require( '@stdlib/constants-float64-smallest-normal' );
console.log( FLOAT64_SMALLEST_NORMAL );
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 © 2016-2021. The Stdlib Authors.