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This PhD thesis is organized as follows. In the first two chapters I will review some basic notions of statistical physics of disordered systems, such as random graph theory, the mean-field approximation, spin glasses and combinatorial…

Disordered Systems and Neural Networks · Physics 2019-10-15 Enrico M. Malatesta

Given the increasing demands in computer programming education and the rapid advancement of large language models (LLMs), LLMs play a critical role in programming education. This study provides a systematic review of selected empirical…

Computers and Society · Computer Science 2025-06-30 Meina Zhu , Lanyu Xu , Barbara Ericson

Simulating physical systems is a core component of scientific computing, encompassing a wide range of physical domains and applications. Recently, there has been a surge in data-driven methods to complement traditional numerical simulations…

Machine Learning · Computer Science 2021-08-19 Karl Otness , Arvi Gjoka , Joan Bruna , Daniele Panozzo , Benjamin Peherstorfer , Teseo Schneider , Denis Zorin

In this expository paper we describe four primality tests. The first test is very efficient, but is only capable of proving that a given number is either composite or 'very probably' prime. The second test is a deterministic polynomial time…

Number Theory · Mathematics 2008-01-25 Rene Schoof

The pentagonal number theorem is extended to the sequence of the number of integer partitions with all parts equal. The new pentagonal number theorem implies that the distribution of the primes is just a specific detail of the application…

General Mathematics · Mathematics 2019-01-04 Cristiano Husu

A method is suggested for treating those complicated physical problems for which exact solutions are not known but a few approximation terms of a calculational algorithm can be derived. The method permits one to answer the following rather…

High Energy Physics - Phenomenology · Physics 2009-10-31 V. I. Yukalov , E. P. Yukalova

This volume contains the proceedings of the 12th International Workshop on Quantum Physics and Logic (QPL 2015), which was held July 15-17, 2015 at Oxford University. The goal of this workshop series is to bring together researchers working…

Quantum Physics · Physics 2015-11-05 Chris Heunen , Peter Selinger , Jamie Vicary

Since 2015, the International Competition on Computational Models of Argumentation (ICCMA) provides a systematic comparison of the different algorithms for solving some classical reasoning problems in the domain of abstract argumentation.…

Artificial Intelligence · Computer Science 2021-10-07 Jean-Marie Lagniez , Emmanuel Lonca , Jean-Guy Mailly , Julien Rossit

Many industrial applications require finding solutions to challenging combinatorial problems. Efficient elimination of symmetric solution candidates is one of the key enablers for high-performance solving. However, existing model-based…

Artificial Intelligence · Computer Science 2022-05-17 Alice Tarzariol , Martin Gebser , Mark Law , Konstantin Schekotihin

LLMs have demonstrated remarkable capability for understanding semantics, but they often struggle with understanding pragmatics. To demonstrate this fact, we release a Pragmatics Understanding Benchmark (PUB) dataset consisting of fourteen…

Computation and Language · Computer Science 2024-01-17 Settaluri Lakshmi Sravanthi , Meet Doshi , Tankala Pavan Kalyan , Rudra Murthy , Pushpak Bhattacharyya , Raj Dabre

To determine whether a number is congruent or not is an old and difficult topic and progress is slow. The paper presents a new theorem when a prime number is a congruent number or not. The proof is not necessarily any simpler or shorter…

Number Theory · Mathematics 2021-08-03 Jorma Jormakka , Sourangshu Ghosh

One presents many Concatenated and Operation Sequences, P-Q Relationships, Digital Sequences, Magic Squares, Prime Conjectures, k-Divisibility and Strong Divisibility Sequences, Geometric Conjectures, Proposed problems.

General Mathematics · Mathematics 2007-05-23 Florentin Smarandache

The optimal matching of point clouds in $\mathbb{R}^d$ is a combinatorial problem; applications in statistics motivate to consider random point clouds, like the Poisson point process. There is a crucial dependance on dimension $d$, with…

Probability · Mathematics 2025-05-16 Francesco Mattesini , Felix Otto

In this paper, we enumerate enumeration problems and algorithms. This survey is under construction. If you know some results not in this survey or there is anything wrong, please let me know.

Data Structures and Algorithms · Computer Science 2016-05-26 Kunihiro Wasa

In this paper we study a sequence involving the prime numbers by deriving two asymptotic formulas and finding new upper and lower bounds, which improve the currently known estimates.

Number Theory · Mathematics 2015-04-20 Christian Axler

This paper is a short report about our work for the primal task in the Machine Learning for Combinatorial Optimization NeurIPS 2021 Competition. For each dataset of our interest in the competition, we propose customized primal heuristic…

Optimization and Control · Mathematics 2022-02-08 Akang Wang , Linxin Yang , Sha Lai , Xiaodong Luo , Xiang Zhou , Haohan Huang , Shengcheng Shao , Yuanming Zhu , Dong Zhang , Tao Quan

Benchmarks are a useful tool for empirical performance comparisons. However, one of the main shortcomings of existing benchmarks is that it remains largely unclear how they relate to real-world problems. What does an algorithm's performance…

Neural and Evolutionary Computing · Computer Science 2020-04-15 Koen van der Blom , Timo M. Deist , Tea Tušar , Mariapia Marchi , Yusuke Nojima , Akira Oyama , Vanessa Volz , Boris Naujoks

One challenge (or opportunity!) that many instructors face is how varied the backgrounds, abilities, and interests of students are. In order to simultaneously instill confidence in those with weaker preparations and still challenge those…

History and Overview · Mathematics 2024-11-07 Hung Viet Chu , Steven J. Miller , Joshua M. Siktar

This article is a snap-shot of a web site, which has been collecting open problems in quantum information for several years, and documenting the progress made on these problems. By posting it we make the complete collection available in one…

Quantum Physics · Physics 2007-05-23 O. Krueger , R. F. Werner

For many years it was routine to use equal model prior probabilities in Bayesian model uncertainty analysis. At least twenty years ago it became clear that this was problematic, leading to support of much too large models in the…

Methodology · Statistics 2026-03-23 James Berger , Gonzalo García-Donato , Elías Moreno , Luis Pericchi