During the last decades there has been a tremendous advancement of
com puter hardware, numerical algorithms, and scientific software.
Engineers and scientists are now equipped with tools that make it
possible to explore real world applications of high complexity by
means of mathematical models and computer simulation. Experimentation
based on numerical simulation has become fundamental in engineering
and many of the traditional sciences. A common feature of mathematical
models in physics, geology, astrophysics, mechanics, geophysics, as
weH as in most engineering disciplines, is the ap pearance of
systems of partial differential equations (PDEs). This text aims at
equipping the reader with tools and skills for formulating solution
methods for PDEs and producing associated running code. Successful
problem solving by means of mathematical models inscience and
engineering often demands a synthesis of knowledge from several
fields. Besides the physical application itself, one must master the
tools of math ematical modeling, numerical methods, as weH as
software design and im plementation. In addition, physical
experiments or field measurements might play an important role in the
derivation and the validation of models. This book is written in the
spirit of computational sciences as inter-disciplinary activities.
Although it would be attractive to integrate subjects like mathe
matics, physics, numerics, and software in book form, few readers
would have the necessary broad background to approach such a text.
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Produktdetaljer
ISBN
9783662011706
Publisert
2020
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter