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Related papers: An invitation to additive prime number theory

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This is a survey on the ongoing development of a descriptive theory of represented spaces, which is intended as an extension of both classical and effective descriptive set theory to deal with both sets and functions between represented…

Logic in Computer Science · Computer Science 2014-08-25 Arno Pauly

This is a survey on extended affine Lie algebras and related types of Lie algebras, which generalize affine Lie algebras.

Rings and Algebras · Mathematics 2008-05-23 Erhard Neher

This is a survey article on selected topics in approximation theory. The topics either use techniques from the theory of several complex variables or arise in the study of the subject. The survey is aimed at readers having an acquaintance…

Classical Analysis and ODEs · Mathematics 2007-05-23 Norman Levenberg

This chapter introduces statistical methods used in the analysis of social networks and in the rapidly evolving parallel-field of network science. Although several instances of social network analysis in health services research have…

Physics and Society · Physics 2014-04-02 A. James O'Malley , Jukka-Pekka Onnela

We investigate the properties of arithmetic differentiation, an attempt to adapt the notion of differentiation to the integers by preserving the Leibniz rule, (ab)' = a'b + ab'. This has proved to be a very rich topic with many different…

Number Theory · Mathematics 2011-08-25 Niklas Dahl , Jonas Olsson , Alexander Loiko

The main purpose of this paper is to introduce and study the primal-proximity spaces. Also, we define two new operators via primal proximity spaces and investigate some of their fundamental properties. In addition, we obtain a new topology,…

General Topology · Mathematics 2024-12-20 Ahmad Al-Omari , Murad Ozcog , Santanu Acharjee

This book provides an introduction to the mathematical analysis of deep learning. It covers fundamental results in approximation theory, optimization theory, and statistical learning theory, which are the three main pillars of deep neural…

Machine Learning · Computer Science 2026-01-16 Philipp Petersen , Jakob Zech

The goal of this present manuscript is to introduce the reader to the nonstandard method and to provide an overview of its most prominent applications in Ramsey theory and combinatorial number theory.

Combinatorics · Mathematics 2018-08-21 Mauro Di Nasso , Isaac Goldbring , Martino Lupini

The purpose of this book is to provide an introduction to period theory and then to place it within the matrix of recursive function theory.

Number Theory · Mathematics 2022-04-05 Garth Warner

We present an auxiliary space theory that provides a unified framework for analyzing various iterative methods for solving linear systems that may be semidefinite. By interpreting a given iterative method for the original system as an…

Numerical Analysis · Mathematics 2025-09-10 Jongho Park , Jinchao Xu

This article serves as an introduction to the study of networks of social systems. First, we introduce the reader to key mathematical tools to study social networks, including mathematical representations of networks and essential…

Physics and Society · Physics 2023-02-03 Heather Z. Brooks

Group theory is a particularly fertile field for the design of practical algorithms. Algorithms have been developed across the various branches of the subject and they find wide application. Because of its relative maturity, computational…

Group Theory · Mathematics 2009-09-25 John Cannon , George Havas

Several authors, including the American Statistician (ASA), have noted the challenges facing statisticians when attacking large, complex, unstructured problems, as opposed to well-defined textbook problems. Clearly, the standard paradigm of…

Other Statistics · Statistics 2015-11-20 Roger W. Hoerl , Ronald D. Snee

The goal of this article is to invite the reader to get to know and to get involved into higher Teichm\"uller theory by describing some of its many facets.

Geometric Topology · Mathematics 2018-03-20 Anna Wienhard

This survey provides an overview of common applications, both implicit and explicit, of "tensors" and "tensor products" in the fields of data science and statistics. One goal is to reconcile seemingly distinct usages of the term "tensor" in…

Applications · Statistics 2022-10-31 William Krinsman

The development of modern information technologies permits to collect and to analyze huge amounts of statistical data in different spheres of life. The main problem is not to only to collect but to process all relevant information. The…

Information Retrieval · Computer Science 2010-07-08 O. Mryglod , Yu. Holovatch

This book introduces to the theory of probabilities from the beginning. Assuming that the reader possesses the normal mathematical level acquired at the end of the secondary school, we aim to equip him with a solid basis in probability…

History and Overview · Mathematics 2021-09-08 Gane Samb Lo , Aladji Babacar Niang , Lois Chinewendu Okereke

A classical problem in analytic number theory is to study the distribution of fractional part $\alpha p+\beta$ modulo 1, where $\alpha$ is irrational and $p$ runs over the set of primes. We consider the subsequence generated by the primes…

Number Theory · Mathematics 2024-04-05 T. Todorova

We study the basic properties of a prime sum graph, which is a simple graph defined on $\mathbb N$ where two vertices are adjacent if and only if their sum is a prime number. Further, we investigate some specific structures that appear…

Number Theory · Mathematics 2023-01-11 Ernest Croot , Patrick Jin

Priority queues are one of the most fundamental and widely used data structures in computer science. Their primary objective is to efficiently support the insertion of new elements with assigned priorities and the extraction of the highest…

Data Structures and Algorithms · Computer Science 2024-11-19 Ziyad Benomar , Christian Coester
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