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# sapxsumkbn

> Add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.

<section class="intro">

</section>

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<section class="usage">

## Usage

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

#### sapxsumkbn( N, alpha, x, stride )

Adds a constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.

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

var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );

var v = sapxsumkbn( 3, 5.0, x, 1 );
// returns 16.0
```

The function has the following parameters:

-   **N**: number of indexed elements.
-   **alpha**: scalar constant.
-   **x**: input [`Float32Array`][@stdlib/array/float32].
-   **stride**: index increment for `x`.

The `N` and `stride` parameters determine which elements in the strided array are accessed at runtime. For example, to access every other element in the strided array,

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

var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );

var v = sapxsumkbn( 4, 5.0, x, 2 );
// returns 25.0
```

Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.

<!-- eslint-disable stdlib/capitalized-comments -->

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

var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

var v = sapxsumkbn( 4, 5.0, x1, 2 );
// returns 25.0
```

#### sapxsumkbn.ndarray( N, alpha, x, stride, offset )

Adds a constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm and alternative indexing semantics.

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

var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );

var v = sapxsumkbn.ndarray( 3, 5.0, x, 1, 0 );
// returns 16.0
```

The function has the following additional parameters:

-   **offset**: starting index for `x`.

While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the offset parameter supports indexing semantics based on a starting index. For example, to access every other value in the strided array starting from the second value

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

var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );

var v = sapxsumkbn.ndarray( 4, 5.0, x, 2, 1 );
// returns 25.0
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

-   If `N <= 0`, both functions return `0.0`.

</section>

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<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
var filledarrayBy = require( '@stdlib/array/filled-by' );
var sapxsumkbn = require( '@stdlib/blas/ext/base/sapxsumkbn' );

var x = filledarrayBy( 10, 'float32', discreteUniform( 0, 100 ) );
console.log( x );

var v = sapxsumkbn( x.length, 5.0, x, 1 );
console.log( v );
```

</section>

<!-- /.examples -->

* * *

<section class="references">

## References

-   Neumaier, Arnold. 1974. "Rounding Error Analysis of Some Methods for Summing Finite Sums." _Zeitschrift Für Angewandte Mathematik Und Mechanik_ 54 (1): 39–51. doi:[10.1002/zamm.19740540106][@neumaier:1974a].

</section>

<!-- /.references -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

* * *

## See Also

-   <span class="package-name">[`@stdlib/blas/ext/base/dapxsumkbn`][@stdlib/blas/ext/base/dapxsumkbn]</span><span class="delimiter">: </span><span class="description">adds a constant to each double-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.</span>
-   <span class="package-name">[`@stdlib/blas/ext/base/gapxsumkbn`][@stdlib/blas/ext/base/gapxsumkbn]</span><span class="delimiter">: </span><span class="description">adds a constant to each strided array element and computes the sum using an improved Kahan–Babuška algorithm.</span>
-   <span class="package-name">[`@stdlib/blas/ext/base/sapxsum`][@stdlib/blas/ext/base/sapxsum]</span><span class="delimiter">: </span><span class="description">adds a constant to each single-precision floating-point strided array element and computes the sum.</span>
-   <span class="package-name">[`@stdlib/blas/ext/base/ssumkbn`][@stdlib/blas/ext/base/ssumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>

</section>

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<section class="links">

[@stdlib/array/float32]: https://www.npmjs.com/package/@stdlib/array-float32

[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray

[@neumaier:1974a]: https://doi.org/10.1002/zamm.19740540106

<!-- <related-links> -->

[@stdlib/blas/ext/base/dapxsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/dapxsumkbn

[@stdlib/blas/ext/base/gapxsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/gapxsumkbn

[@stdlib/blas/ext/base/sapxsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/sapxsum

[@stdlib/blas/ext/base/ssumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssumkbn

<!-- </related-links> -->

</section>

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