@stdlib/math-base-utils-relative-difference v0.2.2
Relative Difference
Compute the relative difference of two real numbers.
The relative difference of two real numbers is defined as
where |x-y| is the absolute difference and f(x,y) is a scale function. Common scale functions include
The choice of scale function depends on application context.
Installation
npm install @stdlib/math-base-utils-relative-differenceUsage
var reldiff = require( '@stdlib/math-base-utils-relative-difference' );reldiff( x, y[, scale] )
Computes the relative difference of two real numbers.
var d = reldiff( 2.0, 5.0 ); // => 3/5
// returns 0.6
d = reldiff( -1.0, 3.14 ); // => 4.14/3.14
// returns ~1.318The following scale functions are supported:
- max-abs: maximum absolute value of
xandy(default). - max: maximum value of
xandy. - min-abs: minimum absolute value of
xandy. - min: minimum value of
xandy. - mean-abs: arithmetic mean of the absolute values of
xandy. - mean: arithmetic mean of
xandy. - x:
x(noncommutative). - y:
y(noncommutative).
By default, the function scales the absolute difference by dividing the absolute difference by the maximum absolute value of x and y. To scale by a different function, specify a scale function name.
var d = reldiff( -2.0, 5.0 ); // => |-7/5|
// returns 1.4
d = reldiff( -2.0, 5.0, 'max-abs' ); // => |-7/5|
// returns 1.4
d = reldiff( -2.0, 5.0, 'max' ); // => |-7/5|
// returns 1.4
d = reldiff( -2.0, 5.0, 'min-abs' ); // => |-7/2|
// returns 3.5
d = reldiff( -2.0, 5.0, 'min' ); // => |-7/-2|
// returns 3.5
d = reldiff( -2.0, 5.0, 'mean-abs' ); // => |-7/3.5|
// returns 2.0
d = reldiff( -2.0, 5.0, 'mean' ); // => |-7/1.5|
// returns ~4.67
d = reldiff( -2.0, 5.0, 'x' ); // => |-7/-2|
// returns 3.5
d = reldiff( 5.0, -2.0, 'x' ); // => |7/5|
// returns 1.4
d = reldiff( -2.0, 5.0, 'y' ); // => |-7/5|
// returns 1.4
d = reldiff( 5.0, -2.0, 'y' ); // => |7/-2|
// returns 3.5To use a custom scale function, provide a function which accepts two numeric arguments x and y.
var abs = require( '@stdlib/math-base-special-abs' );
var EPS = require( '@stdlib/constants-float64-eps' );
function scale( x, y ) {
var s;
x = abs( x );
y = abs( y );
// Maximum absolute value:
s = (x < y ) ? y : x;
// Scale in units of epsilon:
return s * EPS;
}
var d = reldiff( 12.15, 12.149999999999999, scale );
// returns ~0.658Notes
If the absolute difference of
xandyis0, the relative difference is always0.var d = reldiff( 0.0, 0.0 ); // returns 0.0 d = reldiff( 3.14, 3.14 ); // returns 0.0If
|x| = |y| = infinity, the function returnsNaN.var d = reldiff( Infinity, Infinity ); // returns NaN d = reldiff( -Infinity, -Infinity ); // returns NaNIf
|x| = |-y| = infinity, the relative difference is+infinity.var d = reldiff( Infinity, -Infinity ); // returns Infinity d = reldiff( -Infinity, Infinity ); // returns InfinityIf a
scalefunction returns0, the function returnsNaN.var d = reldiff( 0.0, 2.0, 'mean' ); // => |2/1| // returns 2.0 d = reldiff( -1.0, 1.0, 'mean' ); // => |2/0| // returns NaN
Examples
var randu = require( '@stdlib/random-base-randu' );
var reldiff = require( '@stdlib/math-base-utils-relative-difference' );
var scales = [ 'max-abs', 'max', 'min-abs', 'min', 'mean-abs', 'mean', 'x', 'y' ];
var x;
var y;
var d;
var i;
var j;
for ( i = 0; i < 100; i++ ) {
x = ( randu()*1.0e4 ) - 5.0e3;
y = ( randu()*1.0e4 ) - 5.0e3;
for ( j = 0; j < scales.length; j++ ) {
d = reldiff( x, y, scales[j] );
console.log( 'x = %d. y = %d. d = %d. scale: %s.', x, y, d, scales[j] );
}
}See Also
@stdlib/math-base/utils/absolute-difference: compute the absolute 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.