minmaxn

Return the minimum and maximum values.

Installation

npm install @stdlib/math-base-special-minmaxn

Usage

var minmaxn = require( '@stdlib/math-base-special-minmaxn' );

minmaxn( [x[, y[, ...args]]] )

Returns the minimum and maximum values in a single pass.

var v = minmaxn( 4.2, 3.14 );
// returns [ 3.14, 4.2 ]

v = minmaxn( +0.0, -0.0 );
// returns [ -0.0, +0.0 ]

v = minmaxn( 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 = minmaxn( 4.2, NaN );
// returns [ NaN, NaN ]

v = minmaxn( NaN, 3.14 );
// returns [ NaN, NaN ]

minmaxn.assign( [x[, y[, ...args]]], out, stride, offset )

Returns the minimum and maximum values in a single pass and assigns results to a provided output array.

var Float64Array = require( '@stdlib/array-float64' );

var out = new Float64Array( 2 );

var v = minmaxn.assign( 5.0, 3.0, -2.0, 1.0, out, 1, 0 );
// returns <Float64Array>[ -2.0, 5.0 ]

var bool = ( v === out );
// returns true

Notes

• When an empty set is considered a subset of the extended reals (all real numbers, including positive and negative infinity), positive infinity is the greatest lower bound and negative infinity is the least upper bound. Similar to zero being the identity element for the sum of an empty set and to one being the identity element for the product of an empty set, positive infinity is the identity element for the minimum and negative infinity is the identity element for the maximum, and thus, if not provided any arguments, the function returns positive infinity for the minimum value and negative infinity for the maximum value.

Examples

var minstd = require( '@stdlib/random-base-minstd-shuffle' );
var minmaxn = require( '@stdlib/math-base-special-minmaxn' );

var x;
var y;
var v;
var i;

for ( i = 0; i < 100; i++ ) {
    x = minstd();
    y = minstd();
    v = minmaxn( x, y );
    console.log( 'minmax(%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 © 2016-2024. The Stdlib Authors.