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The areas of machine learning and communication technology are converging. Today's communications systems generate a huge amount of traffic data, which can help to significantly enhance the design and management of networks and…

Networking and Internet Architecture · Computer Science 2017-08-29 Wojciech Samek , Slawomir Stanczak , Thomas Wiegand

This is a book for absolute beginners. If you have heard about random matrix theory, commonly denoted RMT, but you do not know what that is, then welcome!, this is the place for you. Our aim is to provide a truly accessible introductory…

Mathematical Physics · Physics 2017-12-22 Giacomo Livan , Marcel Novaes , Pierpaolo Vivo

Modern neuroscience has evolved into a frontier field that draws on numerous disciplines, resulting in the flourishing of novel conceptual frames primarily inspired by physics and complex systems science. Contributing in this direction, we…

Neurons and Cognition · Quantitative Biology 2024-12-09 Giampiero Bardella , Simone Franchini , Pierpaolo Pani , Stefano Ferraina

In this paper, the application of wireless information and power transfer to cooperative networks is investigated, where the relays in the network are randomly located and based on the decode-forward strategy. For the scenario with one…

Information Theory · Computer Science 2014-03-26 Z. Ding , I. Krikidis , B. Sharif , H. V. Poor

We propose a method for characterizing large complex networks by introducing a new matrix structure, unique for a given network, which encodes structural information; provides useful visualization, even for very large networks; and allows…

Disordered Systems and Neural Networks · Physics 2008-02-28 J. P. Bagrow , E. M. Bollt , J. D. Skufca , D. ben-Avraham

Dynamical systems are no strangers in wireless communications. Our story will necessarily involve chaos, but not in the terms secure chaotic communications have introduced it: we will look for the chaos, complexity and dynamics that already…

Dynamical Systems · Mathematics 2021-10-28 Harun Siljak , Irene Macaluso , Nicola Marchetti

We analyze complete spectra of the lattice Dirac operator in SU(2) gauge theory and demonstrate that the distribution of low-lying eigenvalues is described by random matrix theory. We present possible practical applications of this…

High Energy Physics - Lattice · Physics 2009-10-30 M. E. Berbenni-Bitsch , A. D. Jackson , S. Meyer , A. Schäfer , J. J. M. Verbaarschot , T. Wettig

This paper introduces a new spreadsheet tool for adoption by high school or college level physics teachers who use common assessments in a pre-instruction/post-instruction mode to diagnose student learning and teaching effectiveness. The…

Physics Education · Physics 2017-03-14 Gary A. Morris , Paul J. Walter , Spencer Skees , Samantha Schwartz

Simulation is one of the most powerful tools we have for evaluating the performance of Opportunistic Networks. In this survey, we focus on available tools and models, compare their performance and precision and experimentally show the…

This document consists of lecture notes for a graduate course, which focuses on the relations between Information Theory and Statistical Physics. The course is aimed at EE graduate students in the area of Communications and Information…

Information Theory · Computer Science 2010-06-09 Neri Merhav

In modern wireless communication systems, there is a rapidly increasing demand for connectivity to wireless networks. Devices such as internet of things (IoT) devices, connected vehicles, smartphones, surveillance systems, and various other…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Armin Farhadi , Ali Olfat

Tensor networks provide a powerful new framework for classifying and simulating correlated and topological phases of quantum matter. Their central premise is that strongly correlated matter can only be understood by studying the underlying…

Strongly Correlated Electrons · Physics 2026-01-21 Bram Vancraeynest-De Cuiper , Weronika Wiesiolek , Frank Verstraete

This is a review of the Riemann-Hilbert approach to the large $N$ asymptotics in random matrix models and its applications. We discuss the following topics: random matrix models and orthogonal polynomials, the Riemann-Hilbert approach to…

Mathematical Physics · Physics 2008-06-26 Pavel M. Bleher

Fundamental concepts in the quasi-one-dimensional geometry of disordered wires and random waveguides in which ideas of scaling and the transmission matrix were first introduced are reviewed. We discuss the use of the transmission matrix to…

Disordered Systems and Neural Networks · Physics 2023-07-19 Zhou Shi , Matthieu Davy , Azriel Z. Genack

Physicists study a wide variety of phenomena creating new interdisciplinary research fields by applying theories and methods originally developed in physics in order to solve problems in economics, social science, biology, medicine,…

Popular Physics · Physics 2007-07-24 D. Volchenkov , Ph. Blanchard

In this review, we present some advanced algorithms and programs used in our scientific school with short description of types of astrophysical systems, which we study. However, we discuss mainly mathematical methods, which may be applied…

Instrumentation and Methods for Astrophysics · Physics 2020-11-11 Ivan L. Andronov , Vitalii V. Breus , Larysa S. Kudashkina

Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant role in the revolutionary progress in wireless…

Information Theory · Computer Science 2024-06-10 Ya-Feng Liu , Tsung-Hui Chang , Mingyi Hong , Zheyu Wu , Anthony Man-Cho So , Eduard A. Jorswieck , Wei Yu

In the present work we intend to introduce a system based on VR (Virtual Reality) for examining analytical-geometric structures that occur in the study of mathematics and physics concepts in the last high school classes. In our opinion, an…

Physics Education · Physics 2021-11-04 Marco Simonetti , Damiano Perri , Natale Amato , Osvaldo Gervasi

These are notes from the lecture of Devavrat Shah given at the autumn school "Statistical Physics, Optimization, Inference, and Message-Passing Algorithms", that took place in Les Houches, France from Monday September 30th, 2013, till…

Machine Learning · Computer Science 2014-09-18 Angélique Drémeau , Christophe Schülke , Yingying Xu , Devavrat Shah

We describe the development of a junior-senior level course for Physics majors designed to teach Mathematica skills in support of their undergraduate coursework, but also to introduce students to modern research level results. Standard…

Physics Education · Physics 2007-12-17 R. W. Robinett