AuthorTurek, Stefan. author
TitleEfficient Solvers for Incompressible Flow Problems [electronic resource] : An Algorithmic and Computational Approach / by Stefan Turek
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999
Connect tohttp://dx.doi.org/10.1007/978-3-642-58393-3
Descript XV, 358 p. online resource

SUMMARY

The scope ofthis book is to discuss recent numerical and algorithmic tools for the solution of certain flow problems arising in Computational Fluid Dynamยญ ics (CFD). Here, we mainly restrict ourselves to the case ofthe incompressible Navier-Stokes equations, Ut - vũ + U . V'u+ V'p = f , V'ยทu = o. (1) These basic equations already play an important role in CFD, both for mathยญ ematicians as well as for more practical scientists: Physically important facts with "real life" character can be described by them, including also economical aspects in industrial applications. On the other hand, the equations in (1) provide the complete spectrum of numerical problems nowadays concerning the mathematical treatment of partial differential equations. Although this field of research may appear to be a small part only inside of CFD, it was and still is of great interest for mathematicians as well as engineers, physicists, computer scientists and many more: a fact which can be easily checked by counting the numerous publications. Nevertheless, our contribution has some unique characteristics since it contains a few ofthe latยญ est results for the numerical solution of (complex) flow problems on modern computer platforms. In this book, our particular emphasis lies on the soluยญ tion process ofthe resulting high dimensional discrete systems ofequations which is often neglected in other works. Together with the included CDROM, which contains the 'FEATFLOW 1


CONTENT

1 Motivation for current research -- 2 Derivation of NavierโStokes solvers -- 3 Other mathematical components -- 4 Numerical comparisons of Navier-Stokes solvers -- 5 Conclusions and outlook -- 6 The enclosed CDROM


SUBJECT

  1. Mathematics
  2. Computer mathematics
  3. Physics
  4. Computational intelligence
  5. Mathematics
  6. Computational Mathematics and Numerical Analysis
  7. Mathematical Methods in Physics
  8. Numerical and Computational Physics
  9. Computational Intelligence