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Restless Nights
People with severe sleep apnea may struggle for breath all through the night, not breathing for as long as ninety seconds at a time during their sleep. This syndrome, which affects at least four percent of men and two percent of women, can cause daytime fatigue, traffic and work accidents, deteriorating cognitive abilities, and cardiovascular problems. Yet until now there has been no accessible discussion of the history, physiology, and risk factors of sleep apnea. In this book Peretz Lavie, an expert in sleep research, tells the complete story of sleep apnea for the first time. The book provides: • an explanation of the symptoms of sleep apnea, including the most important one, snoring; • an up-to-date description of the risk factors; • a clear explanation why sleep apnea causes cardiovascular problems; • a discussion of children’s breathing disorders in sleep; • advice on how to get a consultation and diagnosis; • evaluations of the treatments currently available; • practical recommendations on how to live with the syndrome; • interviews with the key figures in sleep apnea research; • and more.
Sojourns in Probability Theory and Statistical Physics - I
Charles M. (Chuck) Newman has been a leader in Probability Theory and Statistical Physics for nearly half a century. This three-volume set is a celebration of the far-reaching scientific impact of his work. It consists of articles by Chuck’s collaborators and colleagues across a number of the fields to which he has made contributions of fundamental significance. This publication was conceived during a conference in 2016 at NYU Shanghai that coincided with Chuck's 70th birthday. The sub-titles of the three volumes are: I. Spin Glasses and Statistical Mechanics II. Brownian Web and Percolation III. Interacting Particle Systems and Random Walks The articles in these volumes, which cover a wide spectrum of topics, will be especially useful for graduate students and researchers who seek initiation and inspiration in Probability Theory and Statistical Physics.
In and Out of Equilibrium 3: Celebrating Vladas Sidoravicius
This is a volume in memory of Vladas Sidoravicius who passed away in 2019. Vladas has edited two volumes appeared in this series ("In and Out of Equilibrium") and is now honored by friends and colleagues with research papers reflecting Vladas' interests and contributions to probability theory.
Harmonic Analysis and Partial Differential Equations
Over the course of his distinguished career, Vladimir Maz'ya has made a number of groundbreaking contributions to numerous areas of mathematics, including partial differential equations, function theory, and harmonic analysis. The chapters in this volume - compiled on the occasion of his 80th birthday - are written by distinguished mathematicians and pay tribute to his many significant and lasting achievements.
Sleep in the Military
Given the unprecedented demands on the U.S. military since 2001 and the risks posed by stress and trauma, there has been growing concern about the prevalence and consequences of sleep problems. This first-ever comprehensive review of military sleep-related policies and programs, evidence-based interventions, and barriers to achieving healthy sleep offers a detailed set of actionable recommendations for improving sleep across the force.
Statistical Mechanics of Lattice Systems
A self-contained, mathematical introduction to the driving ideas in equilibrium statistical mechanics, studying important models in detail.
Probability and Real Trees
Random trees and tree-valued stochastic processes are of particular importance in many fields. Using the framework of abstract "tree-like" metric spaces and ideas from metric geometry, Evans and his collaborators have recently pioneered an approach to studying the asymptotic behavior of such objects when the number of vertices goes to infinity. This publication surveys the relevant mathematical background and present some selected applications of the theory.
The Probabilistic Method
Praise for the Third Edition “Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.” - MAA Reviews Maintaining a standard of excellence that establishes The Probabilistic Method as the leading reference on probabilistic methods in combinatorics, the Fourth Edition continues to feature a clear writing style, illustrative examples, and illuminating exercises. The new edition includes numerous updates to reflect the most recent developments and advances in discrete mathematics and the connections to other areas in mathematics, theoretical computer science, and statistical physics. Emphasizing the methodology and techniqu...
The Surprising Mathematics of Longest Increasing Subsequences
In a surprising sequence of developments, the longest increasing subsequence problem, originally mentioned as merely a curious example in a 1961 paper, has proven to have deep connections to many seemingly unrelated branches of mathematics, such as random permutations, random matrices, Young tableaux, and the corner growth model. The detailed and playful study of these connections makes this book suitable as a starting point for a wider exploration of elegant mathematical ideas that are of interest to every mathematician and to many computer scientists, physicists and statisticians. The specific topics covered are the Vershik-Kerov-Logan-Shepp limit shape theorem, the Baik-Deift-Johansson theorem, the Tracy-Widom distribution, and the corner growth process. This exciting body of work, encompassing important advances in probability and combinatorics over the last forty years, is made accessible to a general graduate-level audience for the first time in a highly polished presentation.
Computational Intelligence in Expensive Optimization Problems
In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc. Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as evolutionary algorithms, neural networks and fuzzy logic, which often perform well in such settings. This is the ...
