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Fast Algorithm for the Fourth-Order Elliptic Problem Based on Orthogonal Matrix Decomposition

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Parallel Processing and Applied Mathematics (PPAM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9573))

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Abstract

A fast algorithm for solving the first biharmonic boundary problem on a rectangular domain is presented. It is based on splitting the fourth-order problem into a coupled system of two-order problems, whose finite-difference approximations are solved iteratively with linear algebra routines. There, a crucial role plays the orthogonal eigenvalue decomposition of the iteration matrix, which leads to a reduction of the operational count for one iteration to the asymptotically optimal value. This approach is extensively tested from the point of view of the total computational time, number of iterations and the solution error. It is shown, that these values cope with the theoretical assumptions and scale convincingly up to a problem with 100 million grid points.

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References

  1. Bialecki, B.: A fourth order finite difference method for the Dirichlet biharmonic problem. Numer. Algor. 61(3), 351–375 (2012)

    Article  MathSciNet  Google Scholar 

  2. Buzbee, B.L., Golub, G.H., Nielson, C.W.: On direct methods for solving Poisson’s equations. SIAM J. Numer. Anal. 7(4), 627–656 (1970)

    Article  MathSciNet  Google Scholar 

  3. Di Stolfo, P.: Splitting-based fast algorithm for solving the rectangular biharmonic problem: a sequential implementation. Master’s Thesis, Paris-Lodron-Universität Salzburg (2015)

    Google Scholar 

  4. Ehrlich, L.W.: Solving the biharmonic equation as coupled finite difference equations. SIAM J. Numer. Anal. 8(2), 278–287 (1971)

    Article  MathSciNet  Google Scholar 

  5. Falk, R.S.: Approximation of the biharmonic equation by a mixed finite element method. SIAM J. Numer. Anal. 15(3), 556–567 (1978)

    Article  MathSciNet  Google Scholar 

  6. McLaurin, J.W.: A general coupled equation approach for solving the biharmonic boundary value problem. SIAM J. Numer. Anal. 11(1), 14–33 (1974)

    Article  MathSciNet  Google Scholar 

  7. Vajteršic, M.: A fast algorithm for solving the first biharmonic boundary value problem. Computing 23(2), 171–178 (1979)

    Article  MathSciNet  Google Scholar 

  8. Vajteršic, M.: Algorithms for Elliptic Problems. Kluwer Academic Publisher, Dordrecht (1993)

    Book  Google Scholar 

  9. Wang, T.: A mixed finite volume element method based on rectangular mesh for biharmonic equations. J. Comput. Appl. Math. 172(1), 117–130 (2004)

    Article  MathSciNet  Google Scholar 

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Acknowledgments

The second author was supported by the VEGA grant no. 2/0026/14.

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Correspondence to Paolo Di Stolfo .

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Di Stolfo, P., Vajteršic, M. (2016). Fast Algorithm for the Fourth-Order Elliptic Problem Based on Orthogonal Matrix Decomposition. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2015. Lecture Notes in Computer Science(), vol 9573. Springer, Cham. https://doi.org/10.1007/978-3-319-32149-3_54

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  • DOI: https://doi.org/10.1007/978-3-319-32149-3_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32148-6

  • Online ISBN: 978-3-319-32149-3

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