Schiessl S, Marheineke N, Wegener R (2016)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2016
Publisher: Springer
Edited Volumes: Progress in Industrial Mathematics at ECMI 2014
Solutions of partial differential equations (PDEs) arising in science and industrial applications often undergo large variations occurring over small parts of the domain. Resolving steep gradients and oscillations properly is a numerical chal- lenge. The idea of the r-refinement (moving mesh) is to improve the approximation quality – while keeping the computational effort – by redistributing a fixed number of grid points in areas of the domain where they are needed. In this work we develop a general moving mesh framework for 1d PDEs that is based on three parameteriza- tion layers representing referential, computational and desired parameters. Numeri- cal results are shown for two different strategies that are applied to a fiber spinning process.
APA:
Schiessl, S., Marheineke, N., & Wegener, R. (2016). A moving mesh framework based on three parametrization layers for 1d PDEs. In Progress in Industrial Mathematics at ECMI 2014. Springer.
MLA:
Schiessl, Stefan, Nicole Marheineke, and Raimund Wegener. "A moving mesh framework based on three parametrization layers for 1d PDEs." Progress in Industrial Mathematics at ECMI 2014. Springer, 2016.
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