☰

Mathematical Physics

The Oxford Handbook of Random Matrix Theory (Oxford Handbooks)

$ 438

Availability: Currently in Stock

Delivery: 10-20 working days

The Oxford Handbook of Random Matrix Theory (Oxford Handbooks)

With a foreword by Freeman Dyson, the handbook brings together leading mathematicians and physicists to offer a comprehensive overview of random matrix theory, including a guide to new developments and the diverse range of applications of this approach.

In part one, all modern and classical techniques of solving random matrix models are explored, including orthogonal polynomials, exact replicas or supersymmetry. Further, all main extensions of the classical Gaussian ensembles of Wigner and Dyson are introduced including sparse, heavy tailed, non-Hermitian or multi-matrix models. In the second and larger part, all major applications are covered, in disciplines ranging from physics and mathematics to biology and engineering. This includes standard fields such as number theory, quantum chaos or quantum chromodynamics, as well as recent developments such as partitions, growth models, knot theory, wireless communication or bio-polymer folding.

The handbook is suitable both for introducing novices to this area of research and as a main source of reference for active researchers in mathematics, physics and engineering.
Country USA
Brand OXFORD UNIVERSITY PRESS
Manufacturer Oxford University Press
Binding Paperback
ItemPartNumber illustrations
Model illustrations
UnitCount 1
EANs 9780198744191
ReleaseDate 0000-00-00

You might also like...

An Introduction to Random Matrices (Cambridge Studies in Advanced Mathematics)

An Introduction to Random Matrices (Cambridge Studies in Advanced Mathematics)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Complex Analysis (Princeton Lectures in Analysis, No. 2)

Complex Analysis (Princeton Lectures in Analysis, No. 2)

Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)

Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)

Quantum Field Theory and Condensed Matter: An Introduction (Cambridge Monographs on Mathematical Physics)

Quantum Field Theory and Condensed Matter: An Introduction (Cambridge Monographs on Mathematical Physics)

Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Homotopical Topology (Graduate Texts in Mathematics)

Homotopical Topology (Graduate Texts in Mathematics)

Concentration Inequalities: A Nonasymptotic Theory of Independence

Concentration Inequalities: A Nonasymptotic Theory of Independence

Category Theory for the Sciences (The MIT Press)

Category Theory for the Sciences (The MIT Press)