Space-Time Adaptive Numerical Methods

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This work establishes techniques for adjusting the local spatial resolution of selected numerical methods in a time-adaptive manner. Such techniques are developed within the framework of the Finite Integration Technique (FIT), a hybrid Finite Integration-Finite Volume (FI-FV) Scheme and the Discontinuous Galerkin Method (DGM). While the FIT and the DGM are established methods for the numerical solution of electromagnetic field problems, the FI-FV Scheme is a novel method. The semi-discrete as well as the fully discretized formulations of all considered methods are presented. For both formulations an analysis of the dispersive and dissipative behavior on fixed computational grids is carried out. As a result, asymptotic orders of the dispersion and dissipation errors are established. Techniques for the determination and modification of the discrete electromagnetic field quantities in locally refined regions are presented. The numerical stability of the developed adaptive methods is proven. The developed algorithms are applied to the self-consistent simulation of charged particle dynamics and electrodynamics.

Autorentext

Dr.-Ing. Sascha Schnepp received a degree (Dipl.-Ing.) inElectrical Engineering and Information Technology from theTechnische Universität (TU) Darmstadt, Germany in 2004. He joinedthe Computational Electromagnetics Laboratory of Prof. Dr.-Ing.T. Weiland and received his PhD in Electrical Engineering in 2009from TU Darmstadt.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783838106663
    • Sprache Deutsch
    • Genre Physik & Astronomie
    • Größe H220mm x B150mm x T13mm
    • Jahr 2015
    • EAN 9783838106663
    • Format Kartonierter Einband
    • ISBN 978-3-8381-0666-3
    • Veröffentlichung 13.08.2015
    • Titel Space-Time Adaptive Numerical Methods
    • Autor Sascha Schnepp
    • Untertitel Applied to the Simulation of Charged Particle Beams
    • Gewicht 316g
    • Herausgeber Südwestdeutscher Verlag für Hochschulschriften AG Co. KG
    • Anzahl Seiten 200

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