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We consider a class of sums over products of Z-sums whose arguments differ by a symbolic integer. Such sums appear, for instance, in the expansion of Gauss hypergeometric functions around integer indices that depend on a symbolic parameter.…

High Energy Physics - Theory · Physics 2020-12-30 Andrew J. McLeod , Henrik Munch , Georgios Papathanasiou , Matt von Hippel

This paper investigates the Erd\H{o}s distinct subset sums problem in $\mathbb{Z}^k$. Beyond the classical variance method, using alternative statistical quantities like $\mathbb{E}[\|X\|_1]$ and $\mathbb{E}[\|X\|_3^3]$ can yield better…

Combinatorics · Mathematics 2025-10-08 Zijie Gu

George Boros and Victor Moll's masterpiece "Irresistible Integrals" does well to include a suitably-titled appendix, "The Revolutionary WZ Method," which gives a brief overview of the celebrated Wilf--Zeilberger method of definite…

History and Overview · Mathematics 2021-02-23 Robert Dougherty-Bliss

This paper compares classical parametric methods with recently developed Bayesian methods for system identification. A Full Bayes solution is considered together with one of the standard approximations based on the Empirical Bayes paradigm.…

Machine Learning · Statistics 2015-07-03 D. Romeres , G. Prando , G. Pillonetto , A. Chiuso

In the iterative algorithm recently proposed by Waxman for solving eigenvalue problems, we point out that the convergence rate may be improved. For many non-singular symmetric potentials which vanish asymptotically, a simple analytical…

Quantum Physics · Physics 2009-11-13 W. A. Berger , H. G. Miller

There are various types of disability egress in world like blindness, deafness, and Physical disabilities. It is quite difficult to deal with people with disability. Learning disability (LD) is types of disability totally different from…

Computers and Society · Computer Science 2013-10-22 Syed Asif Ali , Safeeullah Soomro , Abdul Ghafoor Memon , Abdul Baqi

Alzheimer's Disease (AD) is marked by significant inter-individual variability in its progression, complicating accurate prognosis and personalized care planning. This heterogeneity underscores the critical need for predictive models…

Machine Learning · Computer Science 2025-05-01 Gulsah Hancerliogullari Koksalmis , Bulent Soykan , Laura J. Brattain , Hsin-Hsiung Huang

We present efficient methods for calculating linear recurrences of hypergeometric double sums and, more generally, of multiple sums. In particular, we supplement this approach with the algorithmic theory of contiguous relations, which…

Symbolic Computation · Computer Science 2024-01-30 Peter Paule , Carsten Schneider

Multimodal data analysis can lead to more accurate diagnoses of brain disorders due to the complementary information that each modality adds. However, a major challenge of using multimodal datasets in the neuroimaging field is incomplete…

Image and Video Processing · Electrical Eng. & Systems 2025-08-14 Reihaneh Hassanzadeh , Anees Abrol , Hamid Reza Hassanzadeh , Vince D. Calhoun

In this paper we present a novel genetic algorithm (GA) solution to a simple yet challenging commercial puzzle game known as the Zen Puzzle Garden (ZPG). We describe the game in detail, before presenting a suitable encoding scheme and…

Neural and Evolutionary Computing · Computer Science 2010-05-26 Jack Coldridge , Martyn Amos

In this paper extremal problems for uniform hypergraphs are studied in the general setting of hereditary properties. It turns out that extremal problems about edges are particular cases of a general analyic problem about a recently…

Combinatorics · Mathematics 2013-05-14 Vladimir Nikiforov

Using the WZ-method we find some of the easiest Ramanujan's formulae and also some new interesting Ramanujan-like sums.

Number Theory · Mathematics 2007-05-23 Jesus Guillera

In a recent article, Apagodu and Zeilberger (http://arxiv.org/abs/1606.03351)discuss some applications of an algorithm for finding and proving congruence identities (modulo primes) of indefinite sums of many combinatorial sequence. At the…

Number Theory · Mathematics 2016-07-11 Tewodros Amdeberhan , Roberto Tauraso

We survey recent progress in the proof complexity of strong proof systems and its connection to algebraic circuit complexity, showing how the synergy between the two gives rise to new approaches to fundamental open questions, solutions to…

Computational Complexity · Computer Science 2016-07-05 Tonnian Pitassi , Iddo Tzameret

We show how up-to techniques for (bi-)similarity can be used in the setting of weighted systems. The problems we consider are language equivalence, language inclusion and the threshold problem (also known as universality problem) for…

Formal Languages and Automata Theory · Computer Science 2017-01-24 Filippo Bonchi , Barbara König , Sebastian Küpper

In this note, we aim to provide generalizations of (i) Knuth's old sum (or Reed Dawson identity) and (ii) Riordan's identity using a hypergeometric series approach.

Classical Analysis and ODEs · Mathematics 2020-07-23 Arjun K. Rathie , Insuk Kim , Richard B. Paris

Some generalized multi-sum Chu-Vandermonde identities are presented and proved, generalizing some known multi-sum Chu-Vandermonde identities from literature and adding some quadratic and cubic examples of these identities. Some other…

Combinatorics · Mathematics 2022-02-18 M. J. Kronenburg

We prove three conjectures concerning the evaluation of determinants, which are related to the counting of plane partitions and rhombus tilings. One of them was posed by George Andrews in 1980, the other two were by Guoce Xin and Christian…

Symbolic Computation · Computer Science 2013-08-19 Christoph Koutschan , Thotsaporn "Aek" Thanatipanonda

Counter automata are more powerful versions of finite-state automata where addition and subtraction operations are permitted on a set of n integer registers, called counters. We show that the word problem of $\Z^n$ is accepted by a…

Group Theory · Mathematics 2007-05-23 Sean Cleary , Murray Elder , Gretchen Ostheimer

Automated methods for Alzheimer's disease (AD) classification have the potential for great clinical benefits and may provide insight for combating the disease. Machine learning, and more specifically deep neural networks, have been shown to…