Logo

Random Matrix Theory, Interacting Particle Systems and Integrable Systems

Large book cover: Random Matrix Theory, Interacting Particle Systems and Integrable Systems

Random Matrix Theory, Interacting Particle Systems and Integrable Systems
by

Publisher: Cambridge University Press
ISBN-13: 9781107079922
Number of pages: 528

Description:
Random matrix theory is at the intersection of linear algebra, probability theory and integrable systems, and has a wide range of applications in physics, engineering, multivariate statistics and beyond. The book contains review articles and research contributions on all these topics, in addition to other core aspects of random matrix theory such as integrability and free probability theory.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Matrix AnalysisMatrix Analysis
by - Rice University
Matrix theory is a language for representing and analyzing multivariable systems. These notes will demonstrate the role of matrices in the modeling of physical systems and the power of matrix theory in the analysis and synthesis of such systems.
(11517 views)
Book cover: The Matrix CookbookThe Matrix Cookbook
by
The Matrix Cookbook is a free desktop reference on matrix identities, inequalities, approximations and relations useful for different fields such as machine learning, statistics, quantum mechanics, engeneering, chemistry.
(19771 views)
Book cover: Introduction to Matrix AlgebraIntroduction to Matrix Algebra
by - University of South Florida
This book is written primarily for students who are at freshman level or do not take a full course in Linear/Matrix Algebra, or wanting a contemporary and applied approach to Matrix Algebra. Eight chapters of the book are available for free.
(21688 views)
Book cover: Matrix Analysis and AlgorithmsMatrix Analysis and Algorithms
by - CaltechAUTHORS
An introduction to matrix analysis, and to the basic algorithms of numerical linear algebra. Contents: Vector and Matrix Analysis; Matrix Factorisations; Stability and Conditioning; Complexity of Algorithms; Systems of Linear Equations; etc.
(6431 views)