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Adaptive Numerical Solution of PDEs

Buch | Softcover
XI, 421 Seiten
2012
De Gruyter (Verlag)
978-3-11-028310-5 (ISBN)
CHF 83,90 inkl. MwSt
This book deals with the general topic “Numerical solution of partial differential equations (PDEs)” with a focus on adaptivity of discretizations in space and time. By and large, introductory textbooks like “Numerical Analysis in Modern Scientific Computing” by Deuflhard and Hohmann should suffice as a prerequisite. The emphasis lies on elliptic and parabolic systems. Hyperbolic conservation laws are treated only on an elementary level excluding turbulence. Numerical Analysis is clearly understood as part of Scientific Computing. The focus is on the efficiency of algorithms, i.e. speed, reliability, and robustness, which directly leads to the concept of adaptivity in algorithms. The theoretical derivation and analysis is kept as elementary as possible. Nevertheless required somewhat more sophisticated mathematical theory is summarized in comprehensive form in an appendix. Complex relations are explained by numerous figures and illustrating examples. Non-trivial problems from regenerative energy, nanotechnology, surgery, and physiology are inserted. The text will appeal to graduate students and researchers on the job in mathematics, science, and technology. Conceptually, it has been written as a textbook including exercises and a software list, but at the same time it should be well-suited for self-study.

Peter Deuflhard and Martin Weiser, Konrad-Zuse-Zentrum für Informationstechnik Berlin, Germany.

Erscheint lt. Verlag 17.8.2012
Reihe/Serie De Gruyter Textbook
Zusatzinfo 9 b/w tbl.
Verlagsort Berlin/Boston
Sprache englisch
Maße 170 x 240 mm
Gewicht 745 g
Themenwelt Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Schlagworte Adaptive • Adaptive Method • algorithm • Difference Method • Finite Element Method • Numerical Methods • numerical solution • Numerical Solution; Partial Differential Equation; Scientific Computing; Algorithm; Adaptive • Numerics • partial differential equation • Partial differential equations • Partielle Differenzialgleichungen • PDEs • Scientific Computing
ISBN-10 3-11-028310-7 / 3110283107
ISBN-13 978-3-11-028310-5 / 9783110283105
Zustand Neuware
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