Error Estimates for Well-Balanced Schemes on Simple Balance Laws
Debora Amadori, Laurent Gosse
Häftad, 2015
549 kr
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Laurent Gosse received the M.S. and Ph.D. degrees both in Mathematics from Universities of Lille 1 and Paris IX Dauphine in 1991 and 1997 respectively. Between 1997 and 1999 he was a TMR postdoc in IACM-FORTH (Heraklion, Crete) mostly working on well-balanced numerical schemes and a posteriori error estimates with Ch. Makridakis. From 1999 to 2001, he was postdoc in Universtity of L'Aquila (Italy) working on stability theory for systems of balance laws and multiphase computations in geometrical optics with K-multibranch solutions. In 2001, he moved to University of Pavia working on asymptotic-preserving schemes and degenerate parabolic equations with G. Toscani. In 2002, he was granted a permanent researcher position at CNR in Bari (Italy) where he developed Lagrangian schemes for nonlinear diffusion models and a stable inversion algorithm for Markov moment problem with O. Runborg. Numerical investigation of semiclassical WKB approximation for quantum models of crystals was conducted with P.A. Markowich between 2003 and 2006. Since 2011, he holds a CNR position at both Roma and University of L'Aquila and works mainly on the applications of Caseology to well-balanced schemes for collisional kinetic equations.
From the reviews:“The overall goal of the book is therefore to explain how to derive accurate numerical approximations of solutions to balance laws. … Each chapter includes comments and historical notes, as well as a list of references. … should be of interest to researchers willing to learn well-balanced techniques.” (Jean-François Coulombel, Mathematical Reviews, January, 2014)“This book under review gives a systematized and impressive account of the research of the author … written in a well understandable English with some Romanic flavour and featured by a large amount of physical details in this mathematical text, and of pictures showing computing results, often in colours. … a book interesting for mathematical researchers in partial differential equations and for physicist, bringing a wealth of fresh ideas and methods much improving the time splitting approach.” (Gisbert Stoyan, zbMATH, Vol. 1272, 2013)
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