Gathering detailed insights and metrics for @stdlib/constants-float64-sqrt-eps
Gathering detailed insights and metrics for @stdlib/constants-float64-sqrt-eps
Gathering detailed insights and metrics for @stdlib/constants-float64-sqrt-eps
Gathering detailed insights and metrics for @stdlib/constants-float64-sqrt-eps
@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.
@stdlib/constants-float64-sqrt-two-pi
Square root of 2π.
@stdlib/constants-float64-ln-sqrt-two-pi
Natural logarithm of the square root of 2π.
@stdlib/constants-float64-sqrt-two
Square root of 2.
npm install @stdlib/constants-float64-sqrt-eps
99.8
Supply Chain
99.4
Quality
83
Maintenance
100
Vulnerability
87.3
License
Module System
Min. Node Version
Typescript Support
Node Version
NPM Version
2 Stars
67 Commits
3 Watching
5 Branches
10 Contributors
Updated on 01 Nov 2024
JavaScript (61.62%)
C (38.38%)
Cumulative downloads
Total Downloads
Last day
-46.8%
6,342
Compared to previous day
Last week
4.4%
50,134
Compared to previous week
Last month
2.1%
214,494
Compared to previous month
Last year
319.3%
2,543,591
Compared to previous year
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!
1npm install @stdlib/constants-float64-sqrt-eps
Alternatively,
script
tag without installation and bundlers, use the ES Module available on the esm
branch (see README).deno
branch (see README for usage intructions).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.
1var SQRT_EPS = require( '@stdlib/constants-float64-sqrt-eps' );
Square root of double-precision floating-point epsilon.
1var bool = ( SQRT_EPS === 0.14901161193847656e-7 ); 2// returns true
1var abs = require( '@stdlib/math-base-special-abs' ); 2var max = require( '@stdlib/math-base-special-max' ); 3var randu = require( '@stdlib/random-base-randu' ); 4var SQRT_EPS = require( '@stdlib/constants-float64-sqrt-eps' ); 5 6var bool; 7var a; 8var b; 9var i; 10 11function isApprox( a, b ) { 12 var delta; 13 var tol; 14 15 delta = abs( a - b ); 16 tol = SQRT_EPS * max( abs( a ), abs( b ) ); 17 18 return ( delta <= tol ); 19} 20 21for ( i = 0; i < 100; i++ ) { 22 a = randu() * 10.0; 23 b = a + (randu()*5.0e-7) - 2.5e-7; 24 bool = isApprox( a, b ); 25 console.log( '%d %s approximately equal to %d. Delta: %d.', a, ( bool ) ? 'is' : 'is not', b, abs( a - b ) ); 26}
1#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.
No vulnerabilities found.
Reason
no binaries found in the repo
Reason
no dangerous workflow patterns detected
Reason
0 existing vulnerabilities detected
Reason
license file detected
Details
Reason
security policy file detected
Details
Reason
dependency not pinned by hash detected -- score normalized to 3
Details
Reason
3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
Reason
Found 0/30 approved changesets -- score normalized to 0
Reason
no effort to earn an OpenSSF best practices badge detected
Reason
project is not fuzzed
Details
Reason
detected GitHub workflow tokens with excessive permissions
Details
Reason
no SAST tool detected
Details
Reason
branch protection not enabled on development/release branches
Details
Score
Last Scanned on 2024-11-18
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