包详细信息

@stdlib/math-base-special-gamma-lanczos-sum-expg-scaled

stdlib-js219.7kApache-2.0 AND BSL-1.00.3.0

Calculate a scaled Lanczos sum for the approximation of the gamma function.

stdlib, stdmath, mathematics, math

自述文件

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Gamma Scaled Lanczos Sum

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Calculate a scaled Lanczos sum for the approximation of the [gamma function][gamma-function].

The [Lanczos approximation][lanczos-approximation] for the [gamma function][gamma-function] can be written in partial fraction form as follows:
Lanczos approximation for gamma function.
--> where g is an [arbitrary constant][@stdlib/constants/float64/gamma-lanczos-g] and L_g(n) is the Lanczos sum. The scaled Lanczos sum is given by
## Installation bash npm install @stdlib/math-base-special-gamma-lanczos-sum-expg-scaled
## Usage javascript var gammaLanczosSumExpGScaled = require( '@stdlib/math-base-special-gamma-lanczos-sum-expg-scaled' ); #### gammaLanczosSumExpGScaled( x ) Calculates the Lanczos sum for the approximation of the [gamma function][gamma-function] (scaled by exp(-g), where g = 10.900511). javascript var v = gammaLanczosSumExpGScaled( 4.0 ); // returns ~0.018 v = gammaLanczosSumExpGScaled( -1.5 ); // returns ~25.337 v = gammaLanczosSumExpGScaled( -0.5 ); // returns ~-12.911 v = gammaLanczosSumExpGScaled( 0.5 ); // returns ~1.772 v = gammaLanczosSumExpGScaled( 0.0 ); // returns Infinity v = gammaLanczosSumExpGScaled( NaN ); // returns NaN
## Examples javascript var linspace = require( '@stdlib/array-base-linspace' ); var gammaLanczosSumExpGScaled = require( '@stdlib/math-base-special-gamma-lanczos-sum-expg-scaled' ); var x = linspace( -10.0, 10.0, 100 ); var i; for ( i = 0; i < x.length; i++ ) { console.log( 'x: %d, f(x): %d', x[ i ], gammaLanczosSumExpGScaled( x[ i ] ) ); }

## C APIs
### Usage c #include "stdlib/math/base/special/gamma_lanczos_sum_expg_scaled.h" #### stdlib_base_gamma_lanczos_sum_expg_scaled( x ) Calculates the Lanczos sum for the approximation of the [gamma function][gamma-function] (scaled by exp(-g), where g = 10.900511). c double out = stdlib_base_gamma_lanczos_sum_expg_scaled( 4.0 ); // returns ~0.018 out = stdlib_base_gamma_lanczos_sum_expg_scaled( -1.5 ); // returns ~25.337 The function accepts the following arguments: - x: [in] double input value. c double stdlib_base_gamma_lanczos_sum_expg_scaled( const double x );
### Examples c #include "stdlib/math/base/special/gamma_lanczos_sum_expg_scaled.h" #include <stdlib.h> #include <stdio.h> int main( void ) { const double x[] = { 4.0, -1.5, -0.5, 0.5 }; double y; int i; for ( i = 0; i < 4; i++ ) { y = stdlib_base_gamma_lanczos_sum_expg_scaled( x[ i ] ); printf( "gamma_lanczos_sum_expg_scaled(%lf) = %lf\n", x[ i ], y ); } }

* ## See Also - [@stdlib/math-base/special/gamma][@stdlib/math/base/special/gamma]: gamma function. - [@stdlib/math-base/special/gamma-lanczos-sum][@stdlib/math/base/special/gamma-lanczos-sum]: calculate the Lanczos sum for the approximation of the gamma function.
* ## 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 [![Chat][chat-image]][chat-url] --- ## Copyright Copyright © 2016-2024. The Stdlib [Authors][stdlib-authors].
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