@stdlib/constants-float64-min-base2-exponent-subnormal
v0.2.1
Published
The minimum biased base 2 exponent for a subnormal double-precision floating-point number.
Downloads
1,488,422
Readme
FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL
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
C APIs
Usage
#include "stdlib/constants/float64/min_base2_exponent_subnormal.h"
STDLIB_CONSTANT_FLOAT64_MIN_BASE2_EXPONENT_SUBNORMAL
Macro for the minimum biased base 2 exponent for a subnormal double-precision floating-point number.
See Also
@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.
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.