@stdlib/math-base-utils-absolute-difference
v0.3.2
Published
Compute the absolute difference of two real numbers.
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Absolute Difference
Compute the absolute difference of two real numbers.
The absolute difference of two real numbers
is defined as the absolute value of their difference.
Installation
npm install @stdlib/math-base-utils-absolute-difference
Usage
var absdiff = require( '@stdlib/math-base-utils-absolute-difference' );
absdiff( x, y )
Computes the absolute difference of two real numbers.
var d = absdiff( 2.0, 5.0 );
// returns 3.0
d = absdiff( -1.0, 3.14 );
// returns ~4.14
d = absdiff( 10.1, -2.05 );
// returns ~12.15
d = absdiff( -0.0, 0.0 );
// returns +0.0
d = absdiff( NaN, 5.0 );
// returns NaN
d = absdiff( 5.0, NaN );
// returns NaN
d = absdiff( Infinity, Infinity );
// returns NaN
d = absdiff( -Infinity, -Infinity );
// returns NaN
d = absdiff( Infinity, -Infinity );
// returns Infinity
d = absdiff( -Infinity, Infinity );
// returns Infinity
Examples
var randu = require( '@stdlib/random-base-randu' );
var absdiff = require( '@stdlib/math-base-utils-absolute-difference' );
var x;
var y;
var d;
var i;
for ( i = 0; i < 100; i++ ) {
x = (randu()*1.0e4) - 1.0e2;
y = (randu()*1.0e4) - 1.0e2;
d = absdiff( x, y );
console.log( 'x = %d. y = %d. |x-y| = %d.', x, y, d );
}
See Also
@stdlib/math-base/utils/relative-difference
: compute the relative difference of two real numbers.@stdlib/math-base/utils/float64-epsilon-difference
: compute the relative difference of two real numbers in units of double-precision floating-point epsilon.
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.