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Numerical methods for elliptic and parabolic partial differential equations [Documento eletrónico] : with contributions by Andreas Rupp / by Peter Knabner, Lutz Angermann

Main Author: Knabner, PeterCoauthor: Angermann, Lutz, co-aut.Language: eng.Country: Switzerland, Swiss Confederation.Edition Statement: 2nd ed. Publication: Cham : Springer International Publishing, 2021Description: XIX, 802 p. : il.ISBN: 978-3-030-79385-2.Series: Texts in applied mathematics, 44Subject - Topical Name: Numerical analysis | Mathematical analysis | Mathematics | Mathematics -- Data processing | Mathematical physics | Engineering mathematics | Engineering -- Data processing Online Resources:Click here to access online
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Item type Current library Collection Call number Copy number Status Date due Barcode
E-Books Biblioteca NOVA FCT Online Não Ficção QA297.SPR FCT (Browse shelf(Opens below)) 1 Available 97054

This graduate-level text provides an application oriented introduction to the numerical methods for elliptic and parabolic partial differential equations. It covers finite difference, finite element, and finite volume methods, interweaving theory and applications throughout. The book examines modern topics such as adaptive methods, multilevel methods, and methods for convection-dominated problems and includes detailed illustrations and extensive exercises. For students with mathematics major it is an excellent introduction to the theory and methods, guiding them in the selection of methods and helping them to understand and pursue finite element programming. For engineering and physics students it provides a general framework for the formulation and analysis of methods. This second edition sees additional chapters on mixed discretization and on generalizing and unifying known approaches; broader applications on systems of diffusion, convection and reaction; enhanced chapters on node-centered finite volume methods and methods of convection-dominated problems, specifically treating the now-popular cell-centered finite volume method; and the consideration of realistic formulations beyond the Poisson's equation for all models and methods.

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