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Computational and Numerical Challenges in Environmental Modelling, Volume 13 (Hardcover)
Loot Price: R3,419
Discovery Miles 34 190
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Computational and Numerical Challenges in Environmental Modelling, Volume 13 (Hardcover)
Series: Studies in Computational Mathematics
Expected to ship within 12 - 17 working days
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Total price: R3,429
Discovery Miles: 34 290
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Many large mathematical models, not only models arising and used in
environmental studies, are described by systems of partial
differential equations. The discretization of the spatial
derivatives in such models leads to the solution of very large
systems of ordinary differential equations. These systems contain
many millions of equations and have to be handled over large time
intervals by applying many time-steps (up to several hundred
thousand time-steps). Furthermore, many scenarios are as a rule to
be run. This explains the fact that the computational tasks in this
situation are enormous. Therefore, it is necessary to select fast
numerical methods; to develop parallel codes and, what is most
important when the problems solved are very large to organize the
computational process in a proper way.
The last item (which is very often underestimated but, let us
re-iterate, which is very important) is the major topic of this
book. In fact, the proper organization of the computational process
can be viewed as a preparation of templates which can be used with
different numerical methods and different parallel devices. The
development of such templates is described in the book. It is also
demonstrated that many comprehensive environmental studies can
successfully be carried out when the computations are correctly
organized. Thus, this book will help the reader to understand
better that, while (a) it is very important to select fast
numerical methods as well as (b) it is very important to develop
parallel codes, this will not be sufficient when the problems
solved are really very large. In the latter case, it is also
crucial to exploit better the computer architecture by organizing
properly the computational process.
- Use of templates in connection with the treatment of very large
models
- Performance of comprehensive environmental studies
- Obtaining reliable and robust information about pollution
levels
- Studying the impact of future climatic changes on high pollution
levels
- Investigating trends related to critical levels of pollution
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