Package Exports
- @stdlib/math-base-special-minmaxabs
- @stdlib/math-base-special-minmaxabs/lib/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/math-base-special-minmaxabs) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
minmaxabs
Return the minimum and maximum absolute values.
Installation
npm install @stdlib/math-base-special-minmaxabs
Usage
var minmaxabs = require( '@stdlib/math-base-special-minmaxabs' );
minmaxabs( [out,] x[, y[, ...args]] )
Returns the minimum and maximum absolute values in a single pass.
var v = minmaxabs( 4.2, 3.14 );
// returns [ 3.14, 4.2 ]
v = minmaxabs( +0.0, -0.0 );
// returns [ 0.0, 0.0 ]
v = minmaxabs( 4.2, 3.14, -1.0, -6.8 );
// returns [ 1.0, 6.8 ]
If any argument is NaN
, the function returns NaN
for both the minimum value and the maximum value.
var v = minmaxabs( 4.2, NaN );
// returns [ NaN, NaN ]
v = minmaxabs( NaN, 3.14 );
// returns [ NaN, NaN ]
By default, the function returns minimum and maximum absolute values as a two-element array
. To avoid unnecessary memory allocation, the function supports providing an output (destination) object.
var Float64Array = require( '@stdlib/array-float64' );
var out = new Float64Array( 2 );
var v = minmaxabs( out, 5.0, 3.0, -2.0, 1.0 );
// returns <Float64Array>[ 1.0, 5.0 ]
var bool = ( v === out );
// returns true
Examples
var randu = require( '@stdlib/random-base-randu' );
var minmaxabs = require( '@stdlib/math-base-special-minmaxabs' );
var x;
var y;
var v;
var i;
for ( i = 0; i < 100; i++ ) {
x = ( randu()*100.0 ) - 50.0;
y = ( randu()*100.0 ) - 50.0;
v = minmaxabs( x, y );
console.log( 'minmaxabs(%d,%d) = [%d, %d]', x, y, v[0], v[1] );
}
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 © 2016-2022. The Stdlib Authors.