Bibliography | Haeltermann, R.; Bogaers, A.E.J.; Scheufele, K; Uekermann, B.; Mehl, M.: Improving the performance of the partitioned QN-ILS procedure for fluid–structure interaction problems: Filtering. In: Computers & Structures. Vol. 171. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology. pp. 9-17, english. Elsevier, May 2016. ISSN: 0045-7949; DOI: http://dx.doi.org/10.1016/j.compstruc.2016.04.001. Article in Journal.
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CR-Schema | G.1.3 (Numerical Linear Algebra) G.1.8 (Partial Differential Equations)
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Keywords | Fluid–structure interaction; Quasi-Newton method; Least squares; Filtering |
Abstract | The Quasi-Newton Inverse Least Squares method has become a popular method to solve partitioned interaction problems. Its performance can be enhanced by using information from previous time-steps if care is taken of the possible ill-conditioning that results. To enhance the stability, filtering has been used. In this paper we show that a relatively minor modification to the filtering technique can substantially reduce the required number of iterations.
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Full text and other links | URL Science Direct
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Contact | miriam.mehl@ipvs.uni-stuttgart.de |
Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Simulation of Large Systems
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Project(s) | ExaFSA
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Entry date | September 19, 2016 |
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