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Modeling, Simulation and Optimization of Fluid Dynamic Applications

BuchGebunden
163 Seiten
Englisch
Springererschienen am14.12.20231st ed. 2023
This book describes recent collaborations combining the expertise of applied mathematicians, engineers and geophysicists within a research training group (RTG) on "Modeling, Simulation and Optimization of Fluid Dynamic Applications , funded by the Deutsche Forschungsgemeinschaft (DFG).mehr
Verfügbare Formate
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Produkt

KlappentextThis book describes recent collaborations combining the expertise of applied mathematicians, engineers and geophysicists within a research training group (RTG) on "Modeling, Simulation and Optimization of Fluid Dynamic Applications , funded by the Deutsche Forschungsgemeinschaft (DFG).

Inhalt/Kritik

Inhaltsverzeichnis
1. Lower Bounds for the Advection-Hyperdiffusion Equation.- 2. Modeling and Simulation of Parabolic Trough Collectors using Nanofluids.- 3. Adaptive DG Methods for 1D unsteady Convection-Diffusion Problems on a Moving Mesh.- 4. Anisotropic Kernels for Particle Flow Simulation.- 5. An Error-Based Low-Rank Correction for Pressure Schur Complement Preconditioners.- 6. Radon-based Image Reconstruction for MPI using a continuously rotating FFL.- 7. Numerical Simulation of an idealized coupled Ocean-Atmosphere Climate Model.- 8. Application of p-Laplacian relaxed steepest Descent to Shape Optimizations in two-phase Flows.- 9. Computing High-Order p-Harmonic Descent Directions and Their Limits in Shape Optimization.mehr

Autor

Armin Iske, an applied mathematician, has a long history of comprehensive experience in national and international research training networks and graduate programs, where he played a leading role in previous European Research Training Networks and in European Graduate and Exchange Programs. Armin Iske is the Scientific Coordinator of the Hamburg Lothar Collatz Center for Computing in Science. He is also editorial board member of five international mathematical journals, and he edited nine books (three as single author) on approximation theory and mathematical data analysis.
Thomas Rung, an engineer, has comprehensive experience in managing several larger national and international collaborative scientific programs which also involved training and supervision of graduate students. Moreover, he is managing research performed at one of Germany's biggest scientific computing center with some 200 running high-performance computing projects.
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