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We present algorithms to solve coupled systems of linear differential equations, arising in the calculation of massive Feynman diagrams with local operator insertions at 3-loop order, which do {\it not} request special choices of bases.…

Symbolic Computation · Computer Science 2016-01-11 Jakob Ablinger , Johannes Bluemlein , Abilio de Freitas , Carsten Schneider

Recently, there emerges different versions of beta function and hypergeometric functions containing extra parameters. Gaining enlightenment from these ideas, we will first introduce a new extension of generalized hypergeometric function and…

Classical Analysis and ODEs · Mathematics 2013-02-12 Luo Minjie

We show that a Fuchsian differential equation having five regular singular points admits solutions in terms of a single generalized hypergeometric function for infinitely many particular choices of equation parameters. Each solution assumes…

General Mathematics · Mathematics 2019-09-18 A. Ishkhanyan , C. Cesarano

Recently, many researchers devoted their attention to study the extensions of the gamma and beta functions. In the present work, we focus on investigating some approximations for a class of Gauss hypergeometric functions by exploiting…

Classical Analysis and ODEs · Mathematics 2024-05-27 Mustapha Raissouli , Mohamed Chergui

In this article we developed a special topic of our pure-mathematics papers concerning the hypergeometric theory. Based upon a Roberts's reduction approach of hyperelliptic integrals to elliptic ones and on the simultaneous multivariable…

Classical Analysis and ODEs · Mathematics 2015-07-28 Giovanni Mingari Scarpello , Daniele Ritelli

We formulate and prove a combinatorial criterion to decide if an A-hypergeometric system of differential equations has a full set of algebraic solutions or not. This criterion generalises the so-called interlacing criterion in the case of…

Analysis of PDEs · Mathematics 2010-09-02 Frits Beukers

Homological algebra techniques can be found in almost all modern areas of mathematics. Many interesting problems in mathematics can be formulated, computed, or can find their equivalence in terms of Ext-groups. For instance, important…

Algebraic Topology · Mathematics 2016-09-29 Nguyen The Cuong

We present a complete algorithm that computes all hypergeometric solutions of homogeneous linear difference equations and rational solutions of parameterized linear difference equations in the setting of $\Pi\Sigma^*$-fields. More…

Symbolic Computation · Computer Science 2021-01-27 Sergei A. Abramov , Manuel Bronstein , Marko Petkovšek , Carsten Schneider

At present, the fundamental solutions of the multidimensional elliptic equation with the several singular coefficients are known and they are expressed in terms of the Lauricella hypergeometric function of many variables. In this paper we…

Analysis of PDEs · Mathematics 2021-08-06 T. G. Ergashev , Z. R. Tulakova

Motivated by the substantial development of the special functions, we contribute to establish some rigorous results on the general series identities with bounded sequences and hypergeometric functions with different arguments, which are…

General Mathematics · Mathematics 2019-02-19 Mohammad Idris Qureshi , Saima Jabee , Mohammad Shadab

With the exception of q-hypergeometric summation, the use of computer algebra packages implementing Zeilberger's "holonomic systems approach" in a broader mathematical sense is less common in the field of q-series and basic hypergeometric…

Symbolic Computation · Computer Science 2016-02-02 Christoph Koutschan , Peter Paule

Many applications in the sciences require numerically stable and computationally efficient evaluation of multivariate polynomials. Finding beneficial representations of polynomials, such as Horner factorisations, is therefore crucial.…

Mathematical Software · Computer Science 2020-07-30 Jannik Michelfeit

The Heun function generalizes all well-known special functions such as Spheroidal Wave, Lame, Mathieu, and hypergeometric_2F_1,_1F_1 and_0F_1 functions. Heun functions are applicable to diverse areas such as theory of black holes, lattice…

Mathematical Physics · Physics 2015-02-18 Yoon Seok Choun

In this work, generalized hypergeometric functions for bicomplex argument is introduced and its convergence criteria is derived. Furthermore, integral representation of this function has been established. Moreover, quadratic transformation,…

Complex Variables · Mathematics 2025-04-08 Snehasis Bera , Sourav Das , Abhijit Banerjee

Formal Laurent-Puiseux series are important in many branches of mathematics. This paper presents a {\it Mathematica} implementation of algorithms developed by the author for converting between certain classes of functions and their…

Classical Analysis and ODEs · Mathematics 2025-10-20 Wolfram Koepf

In this paper, using well-known complex variable techniques, we compute explicitly, in terms of the ${}_2F_1$ Gaussian hypergeometric function, the one-dimensional fractional Laplacian of the Higgins functions, the Christov functions, and…

Numerical Analysis · Mathematics 2020-01-27 Jorge Cayama , Carlota M. Cuesta , Francisco de la Hoz

We present new algorithms that efficiently approximate the hypergeometric function of a matrix argument through its expansion as a series of Jack functions. Our algorithms exploit the combinatorial properties of the Jack function, and have…

Probability · Mathematics 2007-05-23 Plamen Koev , Alan Edelman

In this paper, we introduce a new class of confluent hypergeometric functions of many variables, study their properties, and determine a system of partial differential equations that this function satisfies. It turns out that all the…

Analysis of PDEs · Mathematics 2019-08-21 Tuhtasin Ergashev

This document is the manual for a free Mathematica package for computing with harmonic functions. This package allows the user to make calculations that would take a prohibitive amount of time if done without a computer. For example, the…

Mathematical Software · Computer Science 2016-11-08 Sheldon Axler

Gaussian process is a theoretically appealing model for nonparametric analysis, but its computational cumbersomeness hinders its use in large scale and the existing reduced-rank solutions are usually heuristic. In this work, we propose a…

Machine Learning · Statistics 2015-11-25 Leo L. Duan , Xia Wang , Rhonda D. Szczesniak