| Multiscale Modeling and Simulation in Science 2009 Edition Contributor(s): Engquist, Björn (Editor), Lötstedt, Per (Editor), Runborg, Olof (Editor) |
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ISBN: 354088856X ISBN-13: 9783540888567 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: December 2008 Annotation: This book contains lecture notes of current development in multiscale modeling, computations and applications. It covers fundamental mathematical theory, numerical algorithms as well as practical computational advice for analysing single and multiphysics models containing a variety of scales in time and space. Complex fluids, porous media flow and oscillatory dynamical systems are treated in some extra depth, as well as tools like analytical and numerical homogenization, fast multipole methods and wavelets. The text includes well designed exercises and project reports on different applications such as astrophysics, computational chemistry, porous media flow and climate change. |
| Additional Information |
| BISAC Categories: - Mathematics | Numerical Analysis - Science | Chemistry - Physical & Theoretical - Mathematics | Number Systems |
| Dewey: 501 |
| LCCN: 2008939216 |
| Series: Lecture Notes in Computational Science and Engineering |
| Physical Information: 0.73" H x 6.17" W x 9.24" (1.12 lbs) 320 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Most problems in science involve many scales in time and space. An example is turbulent ?ow where the important large scale quantities of lift and drag of a wing depend on the behavior of the small vortices in the boundarylayer. Another example is chemical reactions with concentrations of the species varying over seconds and hours while the time scale of the oscillations of the chemical bonds is of the order of femtoseconds. A third example from structural mechanics is the stress and strain in a solid beam which is well described by macroscopic equations but at the tip of a crack modeling details on a microscale are needed. A common dif?culty with the simulation of these problems and many others in physics, chemistry and biology is that an attempt to represent all scales will lead to an enormous computational problem with unacceptably long computation times and large memory requirements. On the other hand, if the discretization at a coarse level ignoresthe?nescale informationthenthesolutionwillnotbephysicallymeaningful. The in?uence of the ?ne scales must be incorporated into the model. This volume is the result of a Summer School on Multiscale Modeling and S- ulation in Science held at Boso n, Lidingo outside Stockholm, Sweden, in June 2007. Sixty PhD students from applied mathematics, the sciences and engineering parti- pated in the summer school. |