# @stdlib/constants-float64-cbrt-eps

Cube root of double-precision floating-point epsilon.

## Usage no npm install needed!

``````<script type="module">
import stdlibConstantsFloat64CbrtEps from 'https://cdn.skypack.dev/@stdlib/constants-float64-cbrt-eps';
</script>``````

# Cube Root of Epsilon

## Installation

``````npm install @stdlib/constants-float64-cbrt-eps
``````

## Usage

``````var FLOAT64_CBRT_EPSILON = require( '@stdlib/constants-float64-cbrt-eps' );
``````

#### FLOAT64_CBRT_EPSILON

``````var bool = ( FLOAT64_CBRT_EPSILON === 0.0000060554544523933395 );
// returns true
``````

## Examples

``````var abs = require( '@stdlib/math-base-special-abs' );
var max = require( '@stdlib/math-base-special-max' );
var randu = require( '@stdlib/random-base-randu' );
var FLOAT64_CBRT_EPSILON = require( '@stdlib/constants-float64-cbrt-eps' );

var bool;
var a;
var b;
var i;

function isApprox( a, b ) {
var delta;
var tol;

delta = abs( a - b );
tol = FLOAT64_CBRT_EPSILON * max( abs( a ), abs( b ) );

return ( delta <= tol );
}

for ( i = 0; i < 100; i++ ) {
a = randu() * 10.0;
b = a + (randu()*5.0e-7) - 2.5e-7;
bool = isApprox( a, b );
console.log( '%d %s approximately equal to %d. Delta: %d.', a, ( bool ) ? 'is' : 'is not', b, abs( a - b ) );
}
``````

## 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.