npm package: @stdlib/math-base-special-minmaxabsn
Description: Return the minimum and maximum absolute values.
Author: The Stdlib Authors
Latest version: 0.2.3

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# minmaxabsn

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Return the minimum and maximum absolute values.

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="installation">

## Installation

```bash
npm install @stdlib/math-base-special-minmaxabsn
```

</section>

<section class="usage">

## Usage

```javascript
var minmaxabsn = require( '@stdlib/math-base-special-minmaxabsn' );
```

#### minmaxabsn( \[x\[, y\[, ...args]]] )

Returns the minimum and maximum absolute values in a single pass.

```javascript
var v = minmaxabsn( 4.2, 3.14 );
// returns [ 3.14, 4.2 ]

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

v = minmaxabsn( 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.

```javascript
var v = minmaxabsn( 4.2, NaN );
// returns [ NaN, NaN ]

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

#### minmaxabsn.assign( \[x\[, y\[, ...args]]], out, stride, offset )

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

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

var out = new Float64Array( 2 );

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

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

</section>

<!-- /.usage -->

<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

## 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 both the minimum and maximum absolute values.

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var randu = require( '@stdlib/random-base-randu' );
var minmaxabsn = require( '@stdlib/math-base-special-minmaxabsn' );

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 = minmaxabsn( x, y );
    console.log( 'minmaxabs(%d,%d) = [%d, %d]', x, y, v[0], v[1] );
}
```

</section>

<!-- /.examples -->

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</section>

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* * *

## See Also

-   <span class="package-name">[`@stdlib/math-base/special/maxabsn`][@stdlib/math/base/special/maxabsn]</span><span class="delimiter">: </span><span class="description">return the maximum absolute value.</span>
-   <span class="package-name">[`@stdlib/math-base/special/minabsn`][@stdlib/math/base/special/minabsn]</span><span class="delimiter">: </span><span class="description">return the minimum absolute value.</span>
-   <span class="package-name">[`@stdlib/math-base/special/minmaxn`][@stdlib/math/base/special/minmaxn]</span><span class="delimiter">: </span><span class="description">return the minimum and maximum values.</span>

</section>

<!-- /.related -->

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<section class="main-repo" >

* * *

## Notice

This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].

#### Community

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---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

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