About stdlib...
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
Natural logarithm of the factorial function.
The natural logarithm of the factorial function may be expressed
The factorial function may be defined as the product
or according to the recurrence relation
Following the convention for an empty product, in all definitions,
The Gamma function extends the factorial function for non-integer values.
The factorial of a negative integer is not defined.
Evaluating the natural logarithm of factorial function is useful as the factorial function can overflow for large n
. Thus, factorialln( n )
is generally preferred to ln( n! )
.
npm install @stdlib/math-base-special-factorialln
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var factorialln = require( '@stdlib/math-base-special-factorialln' );
Evaluates the natural logarithm of the factorial function. For input values other than negative integers, the function returns ln( x! ) = ln( Γ(x+1) )
, where Γ
is the Gamma function. For negative integers, the function returns NaN
.
var v = factorialln( 3.0 );
// returns ~1.792
v = factorialln( 2.4 );
// returns ~1.092
v = factorialln( -1.0 );
// returns NaN
v = factorialln( -1.5 );
// returns ~1.266
If provided NaN
, the function returns NaN
.
var v = factorialln( NaN );
// returns NaN
var incrspace = require( '@stdlib/array-base-incrspace' );
var factorialln = require( '@stdlib/math-base-special-factorialln' );
var x = incrspace( -10.0, 50.0, 0.5 );
var i;
for ( i = 0; i < x.length; i++ ) {
console.log( 'x: %d, f(x): %d', x[ i ], factorialln( x[ i ] ) );
}
#include "stdlib/math/base/special/factorialln.h"
Evaluates the natural logarithm of the factorial function. For input values other than negative integers, the function returns ln( x! ) = ln( Γ(x+1) )
, where Γ
is the Gamma function. For negative integers, the function returns NaN
.
double out = stdlib_base_factorialln( 3.0 );
// returns ~1.792
out = stdlib_base_factorialln( -1.5 );
// returns ~1.266
The function accepts the following arguments:
- x:
[in] double
input value.
double stdlib_base_factorialln( const double n );
#include "stdlib/math/base/special/factorialln.h"
#include <stdio.h>
int main( void ) {
const double x[] = { 2.0, 3.0, 5.0, 8.0 };
double y;
int i;
for ( i = 0; i < 4; i++ ) {
y = stdlib_base_factorialln( x[ i ] );
printf( "factorialln(%lf) = %lf\n", x[ i ], y );
}
}
@stdlib/math-base/special/factorial
: evaluate a factorial.
This package is part of 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, see the main project repository.
See LICENSE.
Copyright © 2016-2024. The Stdlib Authors.