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# ssumors

> Compute the sum of a one-dimensional single-precision floating-point ndarray using ordinary recursive summation.

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<section class="usage">

## Usage

```javascript
var ssumors = require( '@stdlib/blas/ext/base/ndarray/ssumors' );
```

#### ssumors( arrays )

Computes the sum of a one-dimensional single-precision floating-point ndarray using ordinary recursive summation.

```javascript
var Float32Vector = require( '@stdlib/ndarray/vector/float32' );

var x = new Float32Vector( [ 1.0, 3.0, 4.0, 2.0 ] );

var v = ssumors( [ x ] );
// returns 10.0
```

The function has the following parameters:

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

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## Notes

-   If provided an empty one-dimensional ndarray, the function returns `0.0`.
-   Ordinary recursive summation (i.e., a "simple" sum) is performant, but can incur significant numerical error. If performance is paramount and error tolerated, using ordinary recursive summation is acceptable; in all other cases, exercise due caution.

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## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/discrete-uniform' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var ssumors = require( '@stdlib/blas/ext/base/ndarray/ssumors' );

var opts = {
    'dtype': 'float32'
};

var x = discreteUniform( [ 10 ], -50, 50, opts );
console.log( ndarray2array( x ) );

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

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