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OverviewRiemann–Hilbert problems are fundamental objects of study within complex analysis. Many problems in differential equations and integrable systems, probability and random matrix theory, and asymptotic analysis can be solved by reformulation as a Riemann–Hilbert problem. This book provides introductions to both computational complex analysis, as well as to the applied theory of Riemann–Hilbert problems from an analytical and numerical perspective. Following a full-discussion of applications to integrable systems, differential equations and special function theory, the authors include six fundamental examples and five more sophisticated examples of the analytical and numerical Riemann–Hilbert method, each of mathematical or physical significance, or both. As the most comprehensive book to date on the applied and computational theory of Riemann–Hilbert problems, this book is ideal for graduate students and researchers interested in a computational or analytical introduction to the Riemann–Hilbert method. Full Product DetailsAuthor: Thomas Trogdon (New York University) , Sheehan Olver (University of Sydney)Publisher: Society for Industrial & Applied Mathematics,U.S. Imprint: Society for Industrial & Applied Mathematics,U.S. Dimensions: Width: 17.80cm , Height: 2.30cm , Length: 25.40cm Weight: 0.820kg ISBN: 9781611974195ISBN 10: 1611974194 Pages: 388 Publication Date: 25 February 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationThomas Trogdon is an NSF Postdoctoral Fellow at the Courant Institute of Mathematical Sciences, New York University. He was awarded the 2014 SIAM Richard C. DiPrima Prize for his dissertation, which shares its title with this book. He has published in the fields of numerical analysis, approximation theory, optical physics, integrable systems, partial differential equations and random matrix theory. Sheehan Olver is a Senior Lecturer in the School of Mathematics and Statistics at the University of Sydney. Dr Olver was awarded the 2012 Adams Prize for his work on the numerical solution of Riemann–Hilbert problems. He has published in the fields of numerical analysis, approximation theory, integrable systems, oscillatory integrals, spectral methods and random matrix theory. Tab Content 6Author Website:Countries AvailableAll regions |