npm package: @stdlib/math-base-special-factoriallnf
Description: Evaluate the natural logarithm of the factorial of a single-precision floating-point number.
Author: The Stdlib Authors
Latest version: 0.1.1

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# factoriallnf

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Natural logarithm of the [factorial][factorial-function] of a single-precision floating-point number.

<section class="intro">

The natural logarithm of the factorial function may be expressed

<!-- <equation class="equation" label="eq:factorialln_function" align="center" raw="f(n)=\ln (n!)" alt="Equation of the natural logarithm of the factorial."> -->

<!-- </equation> -->

The [factorial function][factorial-function] may be defined as the product

<!-- <equation class="equation" label="eq:factorial_function" align="center" raw="n! = \prod_{k=1}^n k" alt="Factorial function definition"> -->

<!-- </equation> -->

or according to the recurrence relation

<!-- <equation class="equation" label="eq:factorial_recurrence_relation" align="center" raw="n! = \begin{cases}1 & \textrm{if } n = 0,\\(n-1)! \times n & \textrm{if } n > 1\end{cases}" alt="Factorial function recurrence relation"> -->

<!-- </equation> -->

Following the convention for an [empty product][empty-product], in all definitions,

<!-- <equation class="equation" label="eq:zero_factorial" align="center" raw="0! = 1" alt="Zero factorial"> -->

<!-- </equation> -->

The [Gamma][gamma-function] function extends the [factorial function][factorial-function] for non-integer values.

<!-- <equation class="equation" label="eq:factorial_function_and_gamma" align="center" raw="n! = \Gamma(n+1)" alt="Factorial function extension via the Gamma function"> -->

<!-- </equation> -->

The [factorial][factorial-function] of a **negative** integer is not defined.

Evaluating the natural logarithm of [factorial function][factorial-function] is useful as the [factorial function][factorial-function] can overflow for large `n`. Thus, `factoriallnf( n )` is generally preferred to `lnf( n! )`.

</section>

<!-- /.intro -->

<section class="installation">

## Installation

```bash
npm install @stdlib/math-base-special-factoriallnf
```

</section>

<section class="usage">

## Usage

```javascript
var factoriallnf = require( '@stdlib/math-base-special-factoriallnf' );
```

#### factoriallnf( x )

Evaluates the natural logarithm of the [factorial][factorial-function] of a single-precision floating-point number. For input values other than negative integers, the function returns `ln( x! ) = ln( Γ(x+1) )`, where `Γ` is the [Gamma][gamma-function] function. For negative integers, the function returns `NaN`.

```javascript
var v = factoriallnf( 3.0 );
// returns ~1.792

v = factoriallnf( 2.4 );
// returns ~1.092

v = factoriallnf( -1.0 );
// returns NaN

v = factoriallnf( -1.5 );
// returns ~1.266
```

If provided `NaN`, the function returns `NaN`.

```javascript
var v = factoriallnf( NaN );
// returns NaN
```

</section>

<!-- /.usage -->

<section class="examples">

## Examples

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

```javascript
var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var factoriallnf = require( '@stdlib/math-base-special-factoriallnf' );

var opts = {
    'dtype': 'float32'
};
var x = uniform( 100, -10.0, 50.0, opts );

logEachMap( 'factoriallnf(%0.4f) = %0.4f', x, factoriallnf );
```

</section>

<!-- /.examples -->

<!-- C interface documentation. -->

* * *

<section class="c">

## C APIs

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- C usage documentation. -->

<section class="usage">

### Usage

```c
#include "stdlib/math/base/special/factoriallnf.h"
```

#### stdlib_base_factoriallnf( x )

Evaluates the natural logarithm of the [factorial][factorial-function] of a single-precision floating-point number. For input values other than negative integers, the function returns `ln( x! ) = ln( Γ(x+1) )`, where `Γ` is the [Gamma][gamma-function] function. For negative integers, the function returns `NaN`.

```c
float out = stdlib_base_factoriallnf( 3.0f );
// returns ~1.792f

out = stdlib_base_factoriallnf( -1.5f );
// returns ~1.266f
```

The function accepts the following arguments:

-   **x**: `[in] float` input value.

```c
float stdlib_base_factoriallnf( const float x );
```

</section>

<!-- /.usage -->

<!-- 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>

<!-- /.notes -->

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

<section class="examples">

### Examples

```c
#include "stdlib/math/base/special/factoriallnf.h"
#include <stdio.h>

int main( void ) {
    const float x[] = { 2.0f, 3.0f, 5.0f, 8.0f };

    float y;
    int i;
    for ( i = 0; i < 4; i++ ) {
        y = stdlib_base_factoriallnf( x[ i ] );
        printf( "factoriallnf(%f) = %f\n", x[ i ], y );
    }
}
```

</section>

<!-- /.examples -->

</section>

<!-- /.c -->

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<section class="related">

</section>

<!-- /.related -->

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<section class="main-repo" >

* * *

## 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].

#### Community

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---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

</section>

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[gamma-function]: https://en.wikipedia.org/wiki/Gamma_Function

[factorial-function]: https://en.wikipedia.org/wiki/Factorial

[empty-product]: https://en.wikipedia.org/wiki/Empty_product

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</section>

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