@stdlib/constants-float64-min-base2-exponent-subnormal
Advanced tools
The minimum biased base 2 exponent for a subnormal double-precision floating-point number.
@stdlib/constants-float64-min-base2-exponent-subnormal is a package that provides the minimum base-2 exponent for a subnormal double-precision floating-point number, which is a fundamental constant in numerical computing.
Retrieve the constant value
This feature allows you to retrieve the minimum base-2 exponent for a subnormal double-precision floating-point number. The code sample demonstrates how to import the constant and log its value to the console.
const MIN_BASE2_EXPONENT_SUBNORMAL = require('@stdlib/constants-float64-min-base2-exponent-subnormal');
console.log(MIN_BASE2_EXPONENT_SUBNORMAL);The 'math-constants' package provides various mathematical constants, including those related to floating-point numbers. While it offers a broader range of constants, it may not be as specialized as @stdlib/constants-float64-min-base2-exponent-subnormal for specific numerical computing needs.
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
The minimum biased base 2 exponent for a subnormal double-precision floating-point number.
npm install @stdlib/constants-float64-min-base2-exponent-subnormal
var FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL = require( '@stdlib/constants-float64-min-base2-exponent-subnormal' );
The minimum biased base 2 exponent for a subnormal double-precision floating-point number.
var bool = ( FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL === -1074 );
// returns true
var FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL = require( '@stdlib/constants-float64-min-base2-exponent-subnormal' );
console.log( FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL );
// => -1074
#include "stdlib/constants/float64/min_base2_exponent_subnormal.h"
Macro for the minimum biased base 2 exponent for a subnormal double-precision floating-point number.
@stdlib/constants-float64/max-base2-exponent-subnormal: the maximum biased base 2 exponent for a subnormal double-precision floating-point number.@stdlib/constants-float64/min-base10-exponent-subnormal: the minimum base 10 exponent for a subnormal double-precision floating-point number.@stdlib/constants-float64/min-base2-exponent: the minimum biased base 2 exponent for a normal double-precision floating-point number.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.
Copyright © 2016-2024. The Stdlib Authors.
0.2.1 (2024-07-27)
No changes reported for this release.
</section> <!-- /.release --> <section class="release" id="v0.2.0">FAQs
The minimum biased base 2 exponent for a subnormal double-precision floating-point number.
The npm package @stdlib/constants-float64-min-base2-exponent-subnormal receives a total of 364,152 weekly downloads. As such, @stdlib/constants-float64-min-base2-exponent-subnormal popularity was classified as popular.
We found that @stdlib/constants-float64-min-base2-exponent-subnormal demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.