npm package: @stdlib/stats-base-ndarray-smaxabssorted
Description: Compute the maximum absolute value of a sorted one-dimensional single-precision floating-point ndarray.
Author: The Stdlib Authors
Latest version: 0.1.1

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# smaxabssorted

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> Compute the maximum absolute value of a sorted one-dimensional single-precision floating-point ndarray.

<section class="intro">

</section>

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<section class="installation">

## Installation

```bash
npm install @stdlib/stats-base-ndarray-smaxabssorted
```

</section>

<section class="usage">

## Usage

```javascript
var smaxabssorted = require( '@stdlib/stats-base-ndarray-smaxabssorted' );
```

#### smaxabssorted( arrays )

Computes the maximum absolute value of a sorted one-dimensional single-precision floating-point ndarray.

```javascript
var Float32Array = require( '@stdlib/array-float32' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );

var xbuf = new Float32Array( [ -4.0, -1.0, 2.0, 3.0 ] );
var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var v = smaxabssorted( [ x ] );
// returns 4.0
```

The function has the following parameters:

-   **arrays**: array-like object containing a one-dimensional input ndarray.

</section>

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<section class="notes">

## Notes

-   If provided an empty one-dimensional ndarray, the function returns `NaN`.
-   The one-dimensional input ndarray must be sorted in either **strictly** ascending or descending order.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var linspace = require( '@stdlib/array-linspace' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var smaxabssorted = require( '@stdlib/stats-base-ndarray-smaxabssorted' );

var xbuf = linspace( -50, 50, 10, {
    'dtype': 'float32'
});
var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var v = smaxabssorted( [ x ] );
console.log( v );
```

</section>

<!-- /.examples -->

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* * *

## 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].

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---

## License

See [LICENSE][stdlib-license].


## Copyright

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

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