This develops the modelling and computational methods needed for the simulation of real processes. Fundamental modelling techniques are discussed in order to develop mechanistically sound mathematical descriptions of physical, chemical and biochemical processes. Practical computational methods are a
Multigrid Methods for Process Simulation
β Scribed by Dr. Wolfgang Joppich, Dr. Slobodan MijalkoviΔ (auth.)
- Publisher
- Springer-Verlag Wien
- Year
- 1993
- Tongue
- English
- Leaves
- 326
- Series
- Computational Microelectronics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
It was about 1985 when both of the authors started their work using multigrid methods for process simulation problems. This happened inΒ dependent from each other, with a completely different background and different intentions in mind. At this time, some important monographs appeared or have been in preparation. There are the three "classical" ones, from our point of view: the so-called "1984 Guide" [12J by Brandt, the "Multi-Grid Methods and Applications" [49J by Hackbusch and the so-called "Fundamentals" [132J by Stiiben and Trottenberg. Stiiben and Trottenberg in [132J state a "delayed acceptance, resentΒ ments" with respect to multigrid algorithms. They complain: "Nevertheless, even today's situation is still unsatisfactory in several respects. If this is true for the development of standard methods, it applies all the more to the area of really difficult, complex applications." In spite of all the above mentioned publications and without ignoring important theoretical and practical improvements of multigrid, this situaΒ tion has not yet changed dramatically. This statement is made under the condition that a numerical principle like multigrid is "accepted", if there exist "professional" programs for research and production purposes. "Professional" in this context stands for "solving complex technical probΒ lems in an industrial environment by a large community of users". Such a use demands not only for fast solution methods but also requires a high robustness with respect to the physical parameters of the problem.
β¦ Table of Contents
Front Matter....Pages I-XVII
Introduction....Pages 1-4
A Practical Guide to Standard Multigrid Methods....Pages 5-139
Adaptive Multilevel Grid Selection Strategies for Process Simulation Evolution Problems....Pages 140-183
Tayloring Multigrid Components for a Diffusion Model Problem....Pages 184-230
Procedures for Adaptive Multigrid Simulation of Evolution Processes....Pages 231-295
Back Matter....Pages 296-313
β¦ Subjects
Electronics and Microelectronics, Instrumentation; Optical and Electronic Materials; Appl.Mathematics/Computational Methods of Engineering; Numerical Analysis; Software Engineering/Programming and Operating Systems
π SIMILAR VOLUMES
<em>Multigrid Methods for Finite Elements</em> combines two rapidly developing fields: finite element methods, and multigrid algorithms. At the theoretical level, Shaidurov justifies the rate of convergence of various multigrid algorithms for self-adjoint and non-self-adjoint problems, positive defi
Before applying multigrid methods to a project, mathematicians, scientists, and engineers need to answer questions related to the quality of convergence, whether a development will pay out, whether multigrid will work for a particular application, and what the numerical properties are. Practical
<p>Before applying multigrid methods to a project, mathematicians, scientists, and engineers need to answer questions related to the quality of convergence, whether a development will pay out, whether multigrid will work for a particular application, and what the numerical properties are. Practical