Security News
Highlights from the 2024 Rails Community Survey
A record 2,709 developers participated in the 2024 Ruby on Rails Community Survey, revealing key tools, practices, and trends shaping the Rails ecosystem.
@stdlib/constants-float64-sqrt-eps
Advanced tools
Square root of double-precision floating-point epsilon.
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!
npm install @stdlib/constants-float64-sqrt-eps
var SQRT_EPS = require( '@stdlib/constants-float64-sqrt-eps' );
Square root of double-precision floating-point epsilon.
var bool = ( SQRT_EPS === 0.14901161193847656e-7 );
// returns true
var abs = require( '@stdlib/math-base-special-abs' );
var max = require( '@stdlib/math-base-special-max' );
var randu = require( '@stdlib/random-base-randu' );
var SQRT_EPS = require( '@stdlib/constants-float64-sqrt-eps' );
var bool;
var a;
var b;
var i;
function isApprox( a, b ) {
var delta;
var tol;
delta = abs( a - b );
tol = SQRT_EPS * 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 ) );
}
#include "stdlib/constants/float64/sqrt_eps.h"
Macro for the square root of double-precision floating-point epsilon.
@stdlib/constants-float64/eps
: difference between one and the smallest value greater than one that can be represented as a 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.
0.2.1 (2024-02-22)
No changes reported for this release.
</section> <!-- /.release --> <section class="release" id="v0.2.0">FAQs
Square root of double-precision floating-point epsilon.
We found that @stdlib/constants-float64-sqrt-eps demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
A record 2,709 developers participated in the 2024 Ruby on Rails Community Survey, revealing key tools, practices, and trends shaping the Rails ecosystem.
Security News
In 2023, data breaches surged 78% from zero-day and supply chain attacks, but developers are still buried under alerts that are unable to prevent these threats.
Security News
Solo open source maintainers face burnout and security challenges, with 60% unpaid and 60% considering quitting.