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eBook Adaptive Multiscale Schemes for Conservation Laws (Lecture Notes in Computational Science and Engineering) ePub

by Siegfried Müller

eBook Adaptive Multiscale Schemes for Conservation Laws (Lecture Notes in Computational Science and Engineering) ePub
Author: Siegfried Müller
Language: English
ISBN: 3540443258
ISBN13: 978-3540443254
Publisher: Springer; Softcover reprint of the original 1st ed. 2003 edition (January 31, 2003)
Pages: 198
Category: Mathematics
Subcategory: Science
Rating: 4.1
Votes: 518
Formats: azw txt mbr mobi
ePub file: 1360 kb
Fb2 file: 1434 kb

Электронная книга "Adaptive Multiscale Schemes for Conservation Laws", Siegfried Müller.

Электронная книга "Adaptive Multiscale Schemes for Conservation Laws", Siegfried Müller. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Adaptive Multiscale Schemes for Conservation Laws" для чтения в офлайн-режиме.

Lecture Notes in Computational Science and Engineering. Adaptive Multiscale Schemes for Conservation Laws. Authors: Müller, Siegfried. price for USA in USD (gross). ISBN 978-3-642-18164-1.

Adaptive Multiscale Schemes for Conservation Laws - Lecture Notes on Computational Science and Engineering .

Adaptive Multiscale Schemes for Conservation Laws - Lecture Notes on Computational Science and Engineering, Vo. 27, Springer, 2003. Fully Adaptive Multiresolution Schemes for Conservation Laws - Mathematics of Computation, 72, N. 41, 183-225 (2003) - Online First: PII 6 (December 2001) - preprint: Report No. 00009, May 2000, Laboratoire d'Analyse Numerique, Paris VI - Albert Cohen, Sidi Mahmoud Kaber, .

Автор: Siegfried M?ller Название: Adaptive Multiscale Schemes for Conservation Laws Издательство .

This series contains monographs of lecture notes type, lecture course material, and high-quality proceedings on topics described by the term "computational science and engineering". This includes theoretical aspects of scientific computing such as mathematical modeling, optimization methods, discretization techniques, multiscale approaches, fast solution algorithms, parallelization, and visualization methods as well as the application of these approaches throughout the disciplines of biology, chemistry, physics, engineering, earth sciences, and economics.

Lecture Notes in Computational Science an. In recent years the concept of fully adaptive multiscale finite volume schemes for conservation laws has been developed and analytically investigated. 003. 1 Model Problem and Its Discretization. . Conservation Laws. Finite Volume Methods. 2 Multiscale Setting. Hierarchy of Meshes. Here the grid adaptation is performed by mean. More).

An adaptive particle/panel refinement scheme is demonstrated. In Meshfree Methods for Partial Differential Equations, Lecture Notes in Computational Science and Engineering,. A general treatment of the variational multiscale method in the context of an abstract Dirichlet problem is then presented, which is applicable to advective–diffusive processes and other processes of physical interest. It is shown how the exact theory represents a paradigm for subgrid-scale models and a posteriori error estimation. Vol. 26, Griebel M, Schweitzer M (eds).

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During the last decade enormous progress has been achieved in the field of computational fluid dynamics. This became possible by the development of robust and high-order accurate numerical algorithms as well as the construc­ tion of enhanced computer hardware, e. g. , parallel and vector architectures, workstation clusters. All these improvements allow the numerical simulation of real world problems arising for instance in automotive and aviation indus­ try. Nowadays numerical simulations may be considered as an indispensable tool in the design of engineering devices complementing or avoiding expen­ sive experiments. In order to obtain qualitatively as well as quantitatively reliable results the complexity of the applications continuously increases due to the demand of resolving more details of the real world configuration as well as taking better physical models into account, e. g. , turbulence, real gas or aeroelasticity. Although the speed and memory of computer hardware are currently doubled approximately every 18 months according to Moore's law, this will not be sufficient to cope with the increasing complexity required by uniform discretizations. The future task will be to optimize the utilization of the available re­ sources. Therefore new numerical algorithms have to be developed with a computational complexity that can be termed nearly optimal in the sense that storage and computational expense remain proportional to the "inher­ ent complexity" (a term that will be made clearer later) problem. This leads to adaptive concepts which correspond in a natural way to unstructured grids.

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