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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.

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FLOAT64_SMALLEST_SUBNORMAL

NPM version Build Status Coverage Status

Smallest positive denormalized double-precision floating-point number.

Installation

npm install @stdlib/constants-float64-smallest-subnormal

Alternatively,

  • To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
  • If you are using Deno, visit the deno branch (see README for usage intructions).
  • For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var FLOAT64_SMALLEST_SUBNORMAL = require( '@stdlib/constants-float64-smallest-subnormal' );
FLOAT64_SMALLEST_SUBNORMAL

Smallest positive denormalized double-precision floating-point number.

var bool = ( FLOAT64_SMALLEST_SUBNORMAL === 4.940656458412465e-324 );
// returns true

Examples

var FLOAT64_SMALLEST_SUBNORMAL = require( '@stdlib/constants-float64-smallest-subnormal' );

console.log( FLOAT64_SMALLEST_SUBNORMAL );
// => ~4.94e-324

C APIs

Usage

#include "stdlib/constants/float64/smallest_subnormal.h"

STDLIB_CONSTANT_FLOAT64_SMALLEST_SUBNORMAL

Macro for the smallest positive denormalized double-precision floating-point number.


See Also


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 © 2016-2024. The Stdlib Authors.