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Recent Perspectives in Random Matrix Theory and Number Theory

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Release : 2014-05-14
Genre : MATHEMATICS
Kind : eBook
Book Rating : 673/5 ( reviews)

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Book Synopsis Recent Perspectives in Random Matrix Theory and Number Theory by : Francesco Mezzadri

Download or read book Recent Perspectives in Random Matrix Theory and Number Theory written by Francesco Mezzadri. This book was released on 2014-05-14. Available in PDF, EPUB and Kindle. Book excerpt: Provides a grounding in random matrix techniques applied to analytic number theory.

Recent Perspectives in Random Matrix Theory and Number Theory

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Release : 2005-06-21
Genre : Mathematics
Kind : eBook
Book Rating : 589/5 ( reviews)

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Book Synopsis Recent Perspectives in Random Matrix Theory and Number Theory by : F. Mezzadri

Download or read book Recent Perspectives in Random Matrix Theory and Number Theory written by F. Mezzadri. This book was released on 2005-06-21. Available in PDF, EPUB and Kindle. Book excerpt: Provides a grounding in random matrix techniques applied to analytic number theory.

Random Matrices

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Release : 2019-10-30
Genre : Education
Kind : eBook
Book Rating : 804/5 ( reviews)

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Book Synopsis Random Matrices by : Alexei Borodin

Download or read book Random Matrices written by Alexei Borodin. This book was released on 2019-10-30. Available in PDF, EPUB and Kindle. Book excerpt: Random matrix theory has many roots and many branches in mathematics, statistics, physics, computer science, data science, numerical analysis, biology, ecology, engineering, and operations research. This book provides a snippet of this vast domain of study, with a particular focus on the notations of universality and integrability. Universality shows that many systems behave the same way in their large scale limit, while integrability provides a route to describe the nature of those universal limits. Many of the ten contributed chapters address these themes, while others touch on applications of tools and results from random matrix theory. This book is appropriate for graduate students and researchers interested in learning techniques and results in random matrix theory from different perspectives and viewpoints. It also captures a moment in the evolution of the theory, when the previous decade brought major break-throughs, prompting exciting new directions of research.

An Introduction to Random Matrices

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Release : 2010
Genre : Mathematics
Kind : eBook
Book Rating : 520/5 ( reviews)

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Book Synopsis An Introduction to Random Matrices by : Greg W. Anderson

Download or read book An Introduction to Random Matrices written by Greg W. Anderson. This book was released on 2010. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous introduction to the basic theory of random matrices designed for graduate students with a background in probability theory.

A Dynamical Approach to Random Matrix Theory

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Release : 2017-08-30
Genre : Mathematics
Kind : eBook
Book Rating : 485/5 ( reviews)

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Book Synopsis A Dynamical Approach to Random Matrix Theory by : László Erdős

Download or read book A Dynamical Approach to Random Matrix Theory written by László Erdős. This book was released on 2017-08-30. Available in PDF, EPUB and Kindle. Book excerpt: A co-publication of the AMS and the Courant Institute of Mathematical Sciences at New York University This book is a concise and self-contained introduction of recent techniques to prove local spectral universality for large random matrices. Random matrix theory is a fast expanding research area, and this book mainly focuses on the methods that the authors participated in developing over the past few years. Many other interesting topics are not included, and neither are several new developments within the framework of these methods. The authors have chosen instead to present key concepts that they believe are the core of these methods and should be relevant for future applications. They keep technicalities to a minimum to make the book accessible to graduate students. With this in mind, they include in this book the basic notions and tools for high-dimensional analysis, such as large deviation, entropy, Dirichlet form, and the logarithmic Sobolev inequality. This manuscript has been developed and continuously improved over the last five years. The authors have taught this material in several regular graduate courses at Harvard, Munich, and Vienna, in addition to various summer schools and short courses. Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.

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