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  • This work is focused on methods and algorithms tailored to the direct solution of large sparse symmetric positive-definite linear systems arising from the application of the finite element method in solid continuum mechanics. A sparse direct solver based on the methods and algorithms proposed in the previous work is implemented in Fortran within the framework of the in-house multi-purpose finite element code PMD. The performance results for several large real-world engineering problems are presented to demonstrate the efficiency of the sparse direct solver’s implementation in comparison to the PMD’s existing frontal solver.
  • This work is focused on methods and algorithms tailored to the direct solution of large sparse symmetric positive-definite linear systems arising from the application of the finite element method in solid continuum mechanics. A sparse direct solver based on the methods and algorithms proposed in the previous work is implemented in Fortran within the framework of the in-house multi-purpose finite element code PMD. The performance results for several large real-world engineering problems are presented to demonstrate the efficiency of the sparse direct solver’s implementation in comparison to the PMD’s existing frontal solver. (en)
Title
  • Sparse direct solution of large finite element problems
  • Sparse direct solution of large finite element problems (en)
skos:prefLabel
  • Sparse direct solution of large finite element problems
  • Sparse direct solution of large finite element problems (en)
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  • RIV/61388998:_____/12:00381229!RIV13-AV0-61388998
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  • P(GA101/08/0574), Z(AV0Z20760514)
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  • 170159
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  • RIV/61388998:_____/12:00381229
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  • large sparse linear systems; sparse direct solution; finite element method (en)
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http://linked.open...ontrolniKodProRIV
  • [C695B8ED1348]
http://linked.open...v/mistoKonaniAkce
  • Vienna
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  • Vienna
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  • 6th European Congress on Computational Methods in Applied Sciences and Engineering
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  • Plešek, Jiří
  • Pařík, Petr
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http://linked.open...n/vavai/riv/zamer
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  • Vienna University of Technology
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  • 978-3-9502481-9-7
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