About stdlib...
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 base 10 exponent for a normal double-precision floating-point number.
npm install @stdlib/constants-float64-min-base10-exponentvar FLOAT64_MIN_BASE10_EXPONENT = require( '@stdlib/constants-float64-min-base10-exponent' );The minimum base 10 exponent for a normal double-precision floating-point number.
var bool = ( FLOAT64_MIN_BASE10_EXPONENT === -308 );
// returns truevar FLOAT64_MIN_BASE10_EXPONENT = require( '@stdlib/constants-float64-min-base10-exponent' );
console.log( FLOAT64_MIN_BASE10_EXPONENT );
// => -308#include "stdlib/constants/float64/min_base10_exponent.h"Macro for the minimum base 10 exponent for a normal double-precision floating-point number.
-
@stdlib/constants-float64/max-base10-exponent: the maximum base 10 exponent for a 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.