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Related papers: Constructing minimal telescopers for rational func…

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We present a new algorithm to compute minimal telescopers for rational functions in two discrete variables. As with recent reduction-based approaches, our algorithm has the important feature that the computation of a telescoper is…

Symbolic Computation · Computer Science 2021-08-10 Mark Giesbrecht , Hui Huang , George Labahn , Eugene Zima

We show that the problem of constructing telescopers for functions of m variables is equivalent to the problem of constructing telescopers for algebraic functions of m -1 variables and present a new algorithm to construct telescopers for…

Symbolic Computation · Computer Science 2012-01-12 Shaoshi Chen , Manuel Kauers , Michael F. Singer

In this paper, we solve the existence problem of telescopers for rational functions in three discrete variables. We reduce the problem to that of deciding the summability of bivariate rational functions, which has been solved recently. The…

Symbolic Computation · Computer Science 2016-01-14 Shaoshi Chen , Qing-Hu Hou , George Labahn , Rong-Hua Wang

Creative telescoping algorithms compute linear differential equations satisfied by multiple integrals with parameters. We describe a precise and elementary algorithmic version of the Griffiths-Dwork method for the creative telescoping of…

Symbolic Computation · Computer Science 2023-06-12 Alin Bostan , Pierre Lairez , Bruno Salvy

We present a reduction algorithm that simultaneously extends Hermite's reduction for rational functions and the Hermite-like reduction for hyperexponential functions. It yields a unique additive decomposition and allows to decide…

Symbolic Computation · Computer Science 2013-01-23 Alin Bostan , Shaoshi Chen , Frédéric Chyzak , Ziming Li , Guoce Xin

Continuing a series of articles in the past few years on creative telescoping using reductions, we develop a new algorithm to construct minimal telescopers for algebraic functions. This algorithm is based on Trager's Hermite reduction and…

Symbolic Computation · Computer Science 2016-02-02 Shaoshi Chen , Manuel Kauers , Christoph Koutschan

The long-term goal initiated in this work is to obtain fast algorithms and implementations for definite integration in Almkvist and Zeilberger's framework of (differential) creative telescoping. Our complexity-driven approach is to obtain…

Symbolic Computation · Computer Science 2013-01-23 Alin Bostan , Shaoshi Chen , Frédéric Chyzak , Ziming Li

We give necessary and sufficient conditions for the existence of telescopers for rational functions of two variables in the continuous, discrete and q-discrete settings and characterize which operators can occur as telescopers. Using this…

Combinatorics · Mathematics 2012-03-20 Shaoshi Chen , Michael F. Singer

We present a practical algorithm to compute models of rational functions with minimal resultant under conjugation by fractional linear transformations. We also report on a search for rational functions of degrees 2 and 3 with rational…

Number Theory · Mathematics 2019-02-20 Nils Bruin , Alexander Molnar

This paper is a plea for diagonals and telescopers of rational, or algebraic, functions using creative telescoping, in a computer algebra experimental mathematics learn-by-examples approach. We show that diagonals of rational functions (and…

Mathematical Physics · Physics 2023-10-12 S. Hassani , J-M. Maillard , N. Zenine

Creative telescoping is an algorithmic method initiated by Zeilberger to compute definite sums by synthesizing summands that telescope, called certificates. We describe a creative telescoping algorithm that computes telescopers for definite…

Symbolic Computation · Computer Science 2023-11-21 Hadrien Brochet , Bruno Salvy

The ubiquity of the class of D-finite functions and P-recursive sequences in symbolic computation is widely recognized. In this thesis, the presented work consists of two parts related to this class. In the first part, we generalize the…

Symbolic Computation · Computer Science 2017-10-25 Hui Huang

We show that the results we had obtained on diagonals of nine and ten parameters families of rational functions using creative telescoping, yielding modular forms expressed as pullbacked $ _2F_1$ hypergeometric functions, can be obtained,…

Algebraic Geometry · Mathematics 2022-04-27 Y. Abdelaziz , S. Boukraa , C. Koutschan , J-M. Maillard

Telescopers for a function are linear differential (resp. difference) operators annihilated by the definite integral (resp. definite sum) of this function. They play a key role in Wilf-Zeilberger theory and algorithms for computing them…

Symbolic Computation · Computer Science 2021-01-20 Shaoshi Chen , Ruyong Feng , Ziming Li , Michael F. Singer , Stephen Watt

Continuing a series of articles in the past few years on creative telescoping using reductions, we adapt Trager's Hermite reduction for algebraic functions to fuchsian D-finite functions and develop a reduction-based creative telescoping…

Symbolic Computation · Computer Science 2016-11-23 Shaoshi Chen , Mark van Hoeij , Manuel Kauers , Christoph Koutschan

Submodular function minimization is a fundamental optimization problem that arises in several applications in machine learning and computer vision. The problem is known to be solvable in polynomial time, but general purpose algorithms have…

Machine Learning · Computer Science 2015-02-10 Alina Ene , Huy L. Nguyen

We showcase a collection of practical strategies to deal with a problem arising from an analysis of integral estimators derived via quasi-Monte Carlo methods. The problem reduces to a triple binomial sum, thereby enabling us to open up the…

Symbolic Computation · Computer Science 2021-07-27 Christoph Koutschan , Elaine Wong

This paper investigates connections between discrete and continuous approaches for decomposable submodular function minimization. We provide improved running time estimates for the state-of-the-art continuous algorithms for the problem…

Machine Learning · Computer Science 2017-03-07 Alina Ene , Huy L. Nguyen , László A. Végh

We present a novel algorithm which can overcome the drawbacks of the conventional linear scaling method with minimal computational overhead. This is achieved by introducing additional constraints, thus eliminating the redundancy of the…

Materials Science · Physics 2015-06-25 Eiji Tsuchida

We propose a way to split a given bivariate P-recursive sequence into a summable part and a non-summable part in such a way that the non-summable part is minimal in some sense. This decomposition gives rise to a new reduction-based creative…

Symbolic Computation · Computer Science 2023-11-10 Shaoshi Chen , Lixin Du , Manuel Kauers , Rong-Hua Wang
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