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Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems : FVCA 7, Berlin, June 2014 / edited by Jürgen Fuhrmann, Mario Ohlberger, Christian Rohde
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 78)

Edition 1st ed. 2014.
Publisher Cham : Springer International Publishing : Imprint: Springer
Year 2014
Language English
Size XVIII, 518 p. 163 illus., 80 illus. in color : online resource
Authors Fuhrmann, Jürgen editor
Ohlberger, Mario editor
Rohde, Christian editor
SpringerLink (Online service)
Subjects LCSH:Numerical analysis
LCSH:Mathematical physics
LCSH:Computer simulation
LCSH:Differential equations
FREE:Numerical Analysis
FREE:Theoretical, Mathematical and Computational Physics
FREE:Computer Modelling
FREE:Differential Equations
Notes The methods considered in the 7th conference on "Finite Volumes for Complex Applications" (Berlin, June 2014) have properties which offer distinct advantages for a number of applications. The second volume of the proceedings covers reviewed contributions reporting successful applications in the fields of fluid dynamics, magnetohydrodynamics, structural analysis, nuclear physics, semiconductor theory and other topics. The finite volume method in its various forms is a space discretization technique for partial differential equations based on the fundamental physical principle of conservation. Recent decades have brought significant success in the theoretical understanding of the method. Many finite volume methods preserve further qualitative or asymptotic properties, including maximum principles, dissipativity, monotone decay of free energy, and asymptotic stability. Due to these properties, finite volume methods belong to the wider class of compatible discretization methods, which preserve qualitative properties of continuous problems at the discrete level. This structural approach to the discretization of partial differential equations becomes particularly important for multiphysics and multiscale applications. Researchers, PhD and masters level students in numerical analysis, scientific computing and related fields such as partial differential equations will find this volume useful, as will engineers working in numerical modeling and simulations
HTTP:URL=https://doi.org/10.1007/978-3-319-05591-6
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Springer eBooks 9783319055916
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Material Type E-Book
Classification LCC:QA297-299.4
DC23:518
ID 4000120573
ISBN 9783319055916

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