Statistical Physics Optimization Inference And Message Passing Algorithms
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Statistical Physics Optimization Inference And Message Passing Algorithms
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Author : Florent Krzakala
language : en
Publisher: Oxford University Press
Release Date : 2016
Statistical Physics Optimization Inference And Message Passing Algorithms written by Florent Krzakala and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computers categories.
In the last decade, there have been an increasing convergence of interest and methods between theoretical physics and fields as diverse as probability, machine learning, optimization and compressed sensing. In particular, many theoretical and applied works in statistical physics and computer science have relied on the use of message passing algorithms and their connection to statistical physics of spin glasses. The aim of this book, especially adapted to PhD students, post-docs, and young researchers, is to present the background necessary for entering this fast developing field.
Statistical Mechanics In A Nutshell Second Edition
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Author : Luca Peliti
language : en
Publisher: Princeton University Press
Release Date : 2024-08-06
Statistical Mechanics In A Nutshell Second Edition written by Luca Peliti and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-06 with Science categories.
The essential introduction to modern statistical mechanics—now completely updated and expanded Statistical mechanics is one of the most exciting areas of physics today and has applications to subjects ranging from economics and social behavior to algorithmic theory and evolutionary biology. Statistical Mechanics in a Nutshell provides a self-contained introduction to this rapidly developing field. Starting with the basics of kinetic theory and requiring only a background in elementary calculus and mechanics, this concise book discusses the most important developments of recent decades and guides readers to the very threshold of today’s cutting-edge research. Features a new chapter on stochastic thermodynamics with an introduction to the thermodynamics of information—the first treatment of its kind in an introductory textbook Offers a more detailed account of numerical simulations, including simulated annealing and other accelerated Monte Carlo methods The chapter on complex systems now features an accessible introduction to the replica theory of spin glasses and the Hopfield theory of neural networks, with an emphasis on applications Provides a new discussion of defect-mediated transitions and their implications for two-dimensional melting An invaluable resource for graduate students and advanced undergraduates seeking a compact primer on the core ideas of statistical mechanics Solutions manual (available only to instructors)
Active Matter And Nonequilibrium Statistical Physics
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Author : Julien Tailleur
language : en
Publisher: Oxford University Press
Release Date : 2022
Active Matter And Nonequilibrium Statistical Physics written by Julien Tailleur and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Science categories.
The topic of the CXII session of the Les Houches Summer School, held in September 2018, was Active Matter and Nonequilibrium Statistical Physics, offering a broad introduction to the foundations and modern applications of active matter and nonequilibrium physics.
Sublinear Computation Paradigm
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Author : Naoki Katoh
language : en
Publisher: Springer Nature
Release Date : 2021-10-19
Sublinear Computation Paradigm written by Naoki Katoh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-19 with Computers categories.
This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms.
Integrability From Statistical Systems To Gauge Theory
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Author : Patrick Dorey
language : en
Publisher:
Release Date : 2019
Integrability From Statistical Systems To Gauge Theory written by Patrick Dorey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Mathematics categories.
This volume contains lectures delivered at the Les Houches Summer School 'Integrability: from statistical systems to gauge theory' held in June 2016. The School was focussed on applications of integrability to supersymmetric gauge and string theory, a subject of high and increasing interest in the mathematical and theoretical physics communities over the past decade. Relevant background material was also covered, with lecture series introducing the main concepts and techniques relevant to modern approaches to integrability, conformal field theory, scattering amplitudes, and gauge/string duality. The book will be useful not only to those working directly on integrablility in string and guage theories, but also to researchers in related areas of condensed matter physics and statistical mechanics.
Current Trends In Atomic Physics
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Author : Antoine Browaeys
language : en
Publisher:
Release Date : 2019
Current Trends In Atomic Physics written by Antoine Browaeys and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Science categories.
Atomic physics provides a paradigm for exploring few-body quantum systems with unparalleled control. Recently this has been applied in diverse areas including condensed matter physics, high energy physics, and foundations of quantum physics. This book addresses these topics by presenting developments and current trends.
Effective Field Theory In Particle Physics And Cosmology
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Author : Sacha Davidson
language : en
Publisher: Oxford University Press
Release Date : 2020-04-20
Effective Field Theory In Particle Physics And Cosmology written by Sacha Davidson and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-20 with Science categories.
The topic of the CVIII session of the Ecole de Physique des Houches, held in July 2017, was Effective Field Theory in Particle Physics and Cosmology. Effective Field Theory (EFT) is a general method for describing quantum systems with multiple length scales in a tractable fashion. It allows to perform precise calculations in established models (such as the Standard Models of particle physics and cosmology), as well as to concisely parametrise possible effects from physics beyond the Standard Models. The goal of this school was to offer a broad introduction to the foundations and modern applications of Effective Field Theory in many of its incarnations. This is all the more important as there are preciously few textbooks covering the subject, none of them in a complete way. In this book, the lecturers present the concepts in a pedagogical way so that readers can adapt some of the latest developments to their own problems. The chapters cover almost all the lectures given at the school and will serve as an introduction to the topic and as a reference manual to students and researchers.
From Molecules To Living Organisms An Interplay Between Biology And Physics
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Author : Eva Pebay-Peyroula
language : en
Publisher: Oxford University Press
Release Date : 2016
From Molecules To Living Organisms An Interplay Between Biology And Physics written by Eva Pebay-Peyroula and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Medical categories.
The aim of this title is to familiarise the new generation of PhD students and postdoctoral fellows with the principles and methods of modern lattice field theory, which aims to resolve fundamental, non-perturbative questions about QCD without uncontrolled approximations.
Fundamental Aspects Of Turbulent Flows In Climate Dynamics
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Author : Freddy Bouchet
language : en
Publisher: Oxford University Press
Release Date : 2020-02-05
Fundamental Aspects Of Turbulent Flows In Climate Dynamics written by Freddy Bouchet and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-05 with Business & Economics categories.
This volume, number 109 of the Les Houches Summer School series, presents the lectures held in August 2017 on the subject of turbulent flows in climate dynamics. Leading scientists in the fields of climate dynamics, atmosphere and ocean dynamics, geophysical fluid dynamics, physics and non-linear sciences present their views on this fast growing and interdisciplinary field of research, by venturing upon fundamental problems of atmospheric convection, clouds, large scale circulation, and predictability. Climate is controlled by turbulent flows. Turbulent motions are responsible for the bulk of the transport of energy, momentum, and water vapor in the atmosphere, which determine the distribution of temperature, winds, and precipitation on Earth. The aim of this book is to survey what is known about how turbulent flows control climate, what role they may play in climate change, and to outline where progress in this important area can be expected, given today's computational and observational capabilities. This book reviews the state-of-the-art developments in this field and provides an essential background to future studies. All chapters are written from a pedagogical perspective, making the book accessible to masters and PhD students and all researchers wishing to enter this field.
Stochastic Processes And Random Matrices
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Author : Grégory Schehr
language : en
Publisher: Oxford University Press
Release Date : 2017-08-15
Stochastic Processes And Random Matrices written by Grégory Schehr and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-15 with Science categories.
The field of stochastic processes and Random Matrix Theory (RMT) has been a rapidly evolving subject during the last fifteen years. The continuous development and discovery of new tools, connections and ideas have led to an avalanche of new results. These breakthroughs have been made possible thanks, to a large extent, to the recent development of various new techniques in RMT. Matrix models have been playing an important role in theoretical physics for a long time and they are currently also a very active domain of research in mathematics. An emblematic example of these recent advances concerns the theory of growth phenomena in the Kardar-Parisi-Zhang (KPZ) universality class where the joint efforts of physicists and mathematicians during the last twenty years have unveiled the beautiful connections between this fundamental problem of statistical mechanics and the theory of random matrices, namely the fluctuations of the largest eigenvalue of certain ensembles of random matrices. This text not only covers this topic in detail but also presents more recent developments that have emerged from these discoveries, for instance in the context of low dimensional heat transport (on the physics side) or integrable probability (on the mathematical side).