npm package: @stdlib/blas-ext-base-ndarray-dnansumkbn2
Description: Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
Author: The Stdlib Authors
Latest version: 0.1.1

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# dnansumkbn2

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> Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.

<section class="intro">

</section>

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<section class="installation">

## Installation

```bash
npm install @stdlib/blas-ext-base-ndarray-dnansumkbn2
```

</section>

<section class="usage">

## Usage

```javascript
var dnansumkbn2 = require( '@stdlib/blas-ext-base-ndarray-dnansumkbn2' );
```

#### dnansumkbn2( arrays )

Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.

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

var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var v = dnansumkbn2( [ x ] );
// returns 1.0
```

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 `0.0`.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var bernoulli = require( '@stdlib/random-base-bernoulli' );
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var ndarray = require( '@stdlib/ndarray-base-ctor' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var dnansumkbn2 = require( '@stdlib/blas-ext-base-ndarray-dnansumkbn2' );

function clbk() {
    if ( bernoulli( 0.7 ) > 0 ) {
        return discreteUniform( 0, 100 );
    }
    return NaN;
}

var xbuf = filledarrayBy( 10, 'float64', clbk );
var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var v = dnansumkbn2( [ x ] );
console.log( v );
```

</section>

<!-- /.examples -->

<section class="references">

## References

-   Klein, Andreas. 2005. "A Generalized Kahan-Babuška-Summation-Algorithm." _Computing_ 76 (3): 279–93. doi:[10.1007/s00607-005-0139-x][@klein:2005a].

</section>

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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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[@klein:2005a]: https://doi.org/10.1007/s00607-005-0139-x

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