@stdlib/constants-float64-min-base2-exponent-subnormal

What is @stdlib/constants-float64-min-base2-exponent-subnormal?

@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.

What are @stdlib/constants-float64-min-base2-exponent-subnormal's main functionalities?

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);

Other packages similar to @stdlib/constants-float64-min-base2-exponent-subnormal

math-constants

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.

README

Minimum Subnormal Base 2 Exponent

The minimum biased base 2 exponent for a subnormal double-precision floating-point number.

Installation

npm install @stdlib/constants-float64-min-base2-exponent-subnormal

Usage

var FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL = require( '@stdlib/constants-float64-min-base2-exponent-subnormal' );

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

Examples

var FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL = require( '@stdlib/constants-float64-min-base2-exponent-subnormal' );

console.log( FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL );
// => -1074

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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 © 2016-2021. The Stdlib Authors.