ISBN: 9780199574001 - the oxford handbook of random matrix theory (12 risultati)

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Condizione: New.

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Hardcover. Condizione: Brand New. 960 pages. 9.76x7.17x2.28 inches. In Stock.

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Hardcover. Condizione: new. Hardcover. 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 ofthe 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 arecovered, 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 andengineering. Random matrix theory is applied by physicists and mathematicians to understand phenomena in nature and deep mathematical structures. This book offers a comprehensive look at random matrix theory by leading researchers, including applications inside and outside of physics and mathematics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: Neu. OXF HANDB RANDOM MATRIX THEORY OHBK C | Akemann Et Al | Buch | Gebunden | Englisch | 2011 | ACADEMIC | EAN 9780199574001 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

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