Confluent hypergeometric function (Kummer function)

Computes confluent hypergeometric function 1F1 for complex parameters a, b and complex variable z.
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Actualizado 19 oct 2006

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KUMMERCOMPLEX(a,b,z) is the confluent hypergeometric function 1F1 (Kummer function) for complex parameters a, b and complex variable z.

In general case the program calculates the sum of convergent series defining the function until the next term becomes too small (in comparison with the sum of all previous terms). The case of large abs(z) is considered separately (e.g., see 13.5.1 in Abramowitz, Stegun "Handbook of special functions", 1964). Some simple cases of integer parameter values are considered separately as well.

The function controls the loss of precision and makes check for insufficient number of members in the series. It prints warning if there are any problems. Otherwise, if everything is ok, the results seem to coincide with Matematica 4.1 with 10-digit precision.

This function is largely based at "Fortran library of special functions" which was converted to Matlab.Unfortunatey, the library can compute confluent hypergeometric function only for real values of a and b. So this file may be considered as its generalization for complex a and b.

This function also requires cgama.m file which computes Gamma function for complex variables. This file was taken from just the same "Fortran library" and insignificantly modified.

Citar como

Stepan Yanchenko (2024). Confluent hypergeometric function (Kummer function) (https://www.mathworks.com/matlabcentral/fileexchange/12665-confluent-hypergeometric-function-kummer-function), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R13
Compatible con cualquier versión
Compatibilidad con las plataformas
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Más información sobre Special Functions en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: Computation of Special Functions

Inspiración para: Generation of Random Variates

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Versión Publicado Notas de la versión
1.0.0.0

Some insignificant matlab-style improvements and one small bug fix.