Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems: FVCA 7, Berlin, June 2014 (Springer Proceedings in Mathematics & Statistics, Band 78) FVCA 7, Berlin, June 2014

Fuhrmann, Jürgen, Mario Ohlberger und Christian Rohde,

ISBN 10: 3319055909 / ISBN 13: 9783319055909

Edité par Springer, 2014

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518 Seiten Buch in neuwertigem Zustand. Wirkt unbenutzt. Lediglich Mini-BibSignatur auf buchrücken und Barcode auf Vorsatz. 9783319055909 Sprache: Englisch Gewicht in Gramm: 10 Gebundene Ausgabe, Größe: 15.6 x 4.1 x 23.4 cm.

N° de réf. du vendeur 1129569

Détails bibliographiques

• Titre: Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems: FVCA 7, Berlin, June 2014 (Springer Proceedings in Mathematics & Statistics, Band 78) FVCA 7, Berlin, June 2014
• Éditeur: Springer
• Date de parution: 2014
• Langue: anglais
• ISBN à 10 chiffres: 3319055909
• ISBN à 13 chiffres: 9783319055909
• Reliure: Couverture rigide
• Édition: 2014.
• Catalogues du vendeur:
  • ZG Technik

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Synopsis

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.