Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems

Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems

  • Jürgen Fuhrmann
  • Mario Ohlberger
  • Christian Rohde
Publisher:SpringerISBN 13: 9783319055916ISBN 10: 3319055917

Paperback & Hardcover deals ―

Amazon IndiaGOFlipkart GOSnapdealGOSapnaOnlineGOJain Book AgencyGOBooks Wagon₹10,536Book ChorGOCrosswordGODC BooksGO

e-book & Audiobook deals ―

Amazon India GOGoogle Play Books ₹127.2Audible GO

* Price may vary from time to time.

* GO = We're not able to fetch the price (please check manually visiting the website).

Know about the book -

Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems is written by Jürgen Fuhrmann and published by Springer. It's available with International Standard Book Number or ISBN identification 3319055917 (ISBN 10) and 9783319055916 (ISBN 13).

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.