@stdlib/number-float64-base-assert-is-almost-equal
v0.0.1
Published
Test if two double-precision floating-point numbers are approximately equal within a specified number of ULPs (units in the last place).
Readme
isAlmostEqual
Test if two double-precision floating-point numbers are approximately equal within a specified number of ULPs (units in the last place).
Installation
npm install @stdlib/number-float64-base-assert-is-almost-equalUsage
var isAlmostEqual = require( '@stdlib/number-float64-base-assert-is-almost-equal' );isAlmostEqual( a, b, maxULP )
Tests if two double-precision floating-point numbers are approximately equal within a specified number of ULPs (units in the last place).
var EPS = require( '@stdlib/constants-float64-eps' );
var bool = isAlmostEqual( 1.0, 1.0+EPS, 1 );
// returns true
bool = isAlmostEqual( 1.0, 1.0+EPS, 0 );
// returns falseThe function returns false if either input value is NaN.
var bool = isAlmostEqual( NaN, 1.0, 1 );
// returns false
bool = isAlmostEqual( 1.0, NaN, 1 );
// returns false
bool = isAlmostEqual( NaN, NaN, 1 );
// returns falseThe function does not distinguish between -0 and +0, treating them as equal.
var bool = isAlmostEqual( 0.0, -0.0, 0 );
// returns trueExamples
var EPS = require( '@stdlib/constants-float64-eps' );
var isAlmostEqual = require( '@stdlib/number-float64-base-assert-is-almost-equal' );
var bool = isAlmostEqual( 1.0, 1.0+EPS, 1 );
console.log( bool );
// => true
bool = isAlmostEqual( 1.0+EPS, 1.0, 1 );
console.log( bool );
// => true
bool = isAlmostEqual( 1.0, 1.0+EPS+EPS, 1 );
console.log( bool );
// => false
bool = isAlmostEqual( 1.0, 1.0+EPS, 0 );
console.log( bool );
// => false
bool = isAlmostEqual( -0.0, 0.0, 0 );
console.log( bool );
// => true
bool = isAlmostEqual( 1.0, NaN, 1 );
console.log( bool );
// => false
bool = isAlmostEqual( NaN, NaN, 1 );
console.log( bool );
// => falseNotice
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 © 2016-2026. The Stdlib Authors.
