npm package: @stdlib/constants-float64-gamma-lanczos-g
Description: Arbitrary constant `g` to be used in Lanczos approximation functions.
Author: The Stdlib Authors
Latest version: 0.2.3

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# GAMMA_LANCZOS_G

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> Arbitrary constant `g` to be used in Lanczos approximation functions.

<section class="intro">

</section>

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<section class="installation">

## Installation

```bash
npm install @stdlib/constants-float64-gamma-lanczos-g
```

</section>

<section class="usage">

## Usage

```javascript
var GAMMA_LANCZOS_G = require( '@stdlib/constants-float64-gamma-lanczos-g' );
```

#### GAMMA_LANCZOS_G

Arbitrary constant `g` to be used in [Lanczos approximation][lanczos-approximation] functions.

```javascript
var bool = ( GAMMA_LANCZOS_G === 10.900511 );
// returns true
```

</section>

<!-- /.usage -->

<section class="examples">

## Examples

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

```javascript
var GAMMA_LANCZOS_G = require( '@stdlib/constants-float64-gamma-lanczos-g' );

console.log( GAMMA_LANCZOS_G );
// => 10.900511
```

</section>

<!-- /.examples -->

<!-- C interface documentation. -->

* * *

<section class="c">

## C APIs

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<section class="intro">

</section>

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<section class="usage">

### Usage

```c
#include "stdlib/constants/float64/gamma_lanczos_g.h"
```

#### STDLIB_CONSTANT_FLOAT64_GAMMA_LANCZOS_G

Macro for the arbitrary constant `g` to be used in [Lanczos approximation][lanczos-approximation] functions.

</section>

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<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

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<!-- C API usage examples. -->

<section class="examples">

</section>

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</section>

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* * *

<section class="references">

## References

-   Pugh, Glendon R. 2004. "An analysis of the Lanczos gamma approximation." PhD thesis, University of British Columbia. [&lt;https://web.viu.ca/pughg/phdThesis/phdThesis.pdf>][@pugh:2004a].

</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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[lanczos-approximation]: https://en.wikipedia.org/wiki/Lanczos_approximation

[@pugh:2004a]: https://web.viu.ca/pughg/phdThesis/phdThesis.pdf

</section>

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