time-to-botec/js/node_modules/@stdlib/math/special/abs/README.md

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# abs

> Compute the [absolute value][absolute-value].

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The [absolute value][absolute-value] is defined as

<!-- <equation class="equation" label="eq:absolute_value" align="center" raw="|x| = \begin{cases} x & \textrm{if}\ x \geq 0 \\ -x & \textrm{if}\ x < 0\end{cases}" alt="Absolute value"> -->

<div class="equation" align="center" data-raw-text="|x| = \begin{cases} x &amp; \textrm{if}\ x \geq 0 \\ -x &amp; \textrm{if}\ x &lt; 0\end{cases}" data-equation="eq:absolute_value">
    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@61c5f878886bd5b3b98976501c974bf69f575238/lib/node_modules/@stdlib/math/special/abs/docs/img/equation_absolute_value.svg" alt="Absolute value">
    <br>
</div>

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</section>

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<section class="usage">

## Usage

```javascript
var abs = require( '@stdlib/math/special/abs' );
```

#### abs( x\[, options] )

Computes the [absolute value][absolute-value]. 

```javascript
var y = abs( -1.0 );
// returns 1.0
```

The function accepts the following arguments:

-   **x**: input [`ndarray`][@stdlib/ndarray/ctor], array-like object, or number. If provided an [`ndarray`][@stdlib/ndarray/ctor] or array-like object, the function performs element-wise computation.
-   **options**: function options.

If provided an [`ndarray`][@stdlib/ndarray/ctor], the function returns an [`ndarray`][@stdlib/ndarray/ctor] having the same shape and data type as `x`.

```javascript
var array = require( '@stdlib/ndarray/array' );

var x = array( [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ); // 2x2
var y = abs( x );
// returns <ndarray>

var v = y.get( 0, 1 );
// returns 2.0
```

If provided an array-like object, the function returns an array-like object having the same length and data type as `x`.

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

var x = new Float64Array( [ -1.0, -2.0 ] );
var y = abs( x );
// returns <Float64Array>[ 1.0, 2.0 ]

x = [ -1.0, -2.0 ];
y = abs( x );
// returns [ 1.0, 2.0 ]
```

The function accepts the following `options`:

-   **dtype**: output array [data type][@stdlib/ndarray/dtypes]. Only applicable when `x` is either an [`ndarray`][@stdlib/ndarray/ctor] or array-like object. By default, the output array data type is inferred from the input array.
-   **order**: output array [order][@stdlib/ndarray/orders]. Only applicable when `x` is an [`ndarray`][@stdlib/ndarray/ctor]. By default, the output array order is inferred from the input array.

By default, when provided either an [`ndarray`][@stdlib/ndarray/ctor] or an array-like object, the function returns an object of the same "kind" (either an [`ndarray`][@stdlib/ndarray/ctor] or array-like object, respectively) having the same underlying [data type][@stdlib/ndarray/dtypes]. To specify a different output array [data type][@stdlib/ndarray/dtypes], set the `dtype` option.

```javascript
var Float32Array = require( '@stdlib/array/float32' );

var x = new Float32Array( [ -1.0, -2.0 ] );
var y = abs( x );
// returns <Float32Array>[ 1.0, 2.0 ]

x = new Float32Array( [ -1.0, -2.0 ] );
y = abs( x, {
    'dtype': 'float64'
});
// returns <Float64Array>[ 1.0, 2.0 ]
```

#### abs.assign( x, y )

Computes the [absolute value][absolute-value] and assigns results to a provided output array.

```javascript
var array = require( '@stdlib/ndarray/array' );

var x = array( [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ); // 2x2
var y = array( [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ); // 2x2
var out = abs.assign( x, y );
// returns <ndarray>

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

var v = y.get( 0, 1 );
// returns 2.0
```

The output array must be the same data "kind" (i.e., [`ndarray`][@stdlib/ndarray/ctor] or array-like object) as the input array. For example, if `x` is an [`ndarray`][@stdlib/ndarray/ctor], `y` must also be an [`ndarray`][@stdlib/ndarray/ctor]. Similarly, if `x` is an array-like object, `y` must also be an array-like object.

TODO: broadcasting discussion and example(s).

</section>

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</section>

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<section class="examples">

## Examples

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

```javascript
var Float64Array = require( '@stdlib/array/float64' );
var array = require( '@stdlib/ndarray/array' );
var ind2sub = require( '@stdlib/ndarray/ind2sub' );
var abs = require( '@stdlib/math/special/abs' );

// Provide a number...
var v = abs( -1.0 );
console.log( 'x = %d => abs(x) = %d', -1.0, v );

// Provide an array-like object...
var x = new Float64Array( [ -1.0, -2.0, -3.0 ] );
var y = abs( x );

var i;
for ( i = 0; i < x.length; i++ ) {
    console.log( 'x_%d = %d => abs(x_%d) = %d', i, x[ i ], i, y[ i ] );
}

// Provide an ndarray...
x = array( [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] );
y = abs( x );

var sh = x.shape;
var sub;
for ( i = 0; i < x.length; i++ ) {
    sub = ind2sub( sh, i );
    console.log( 'x_%d%d = %d => abs(x_%d%d) = %d', sub[ 0 ], sub[ 1 ], x.iget( i ), sub[ 0 ], sub[ 1 ], y.iget( i ) );
}
```

</section>

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</section>

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<section class="links">

[absolute-value]: https://en.wikipedia.org/wiki/Absolute_value

[@stdlib/ndarray/ctor]: https://www.npmjs.com/package/@stdlib/ndarray-ctor

[@stdlib/ndarray/orders]: https://www.npmjs.com/package/@stdlib/ndarray-orders

[@stdlib/ndarray/dtypes]: https://www.npmjs.com/package/@stdlib/ndarray-dtypes

</section>

<!-- /.links -->