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Cholesky Factorisation of Linear Systems Coming from Finite Difference Approximations of Singularly Perturbed Problems

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Boundary and Interior Layers, Computational and Asymptotic Methods - BAIL 2014

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 108))

Abstract

We consider the solution of large linear systems of equations that arise when two-dimensional singularly perturbed reaction-diffusion equations are discretized. Standard methods for these problems, such as central finite differences, lead to system matrices that are positive definite. The direct solvers of choice for such systems are based on Cholesky factorisation. However, as observed in MacLachlan and Madden (SIAM J Sci Comput 35:A2225–A2254, 2013), these solvers may exhibit poor performance for singularly perturbed problems. We provide an analysis of the distribution of entries in the factors based on their magnitude that explains this phenomenon, and give bounds on the ranges of the perturbation and discretization parameters where poor performance is to be expected.

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References

  1. Chen, Y., Davis, T.A., Hager, W.W., Rajamanickam, S.: Algorithm 887: CHOLMOD, supernodal sparse cholesky factorization and update/downdate. ACM Trans. Math. Softw.35, 22:1–22:14 (2008)

    Google Scholar 

  2. Clavero, C., Gracia, J.L., O’Riordan, E.: A parameter robust numerical method for a two dimensional reaction-diffusion problem. Math. Comput. 74(252), 1743–1758 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  3. Demmel, J.W.: Applied Numerical Linear Algebra. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (1997)

    Google Scholar 

  4. Golub, G.H., Van Loan, C.F.: Matrix Computations. Johns Hopkins Studies in the Mathematical Sciences, 3rd edn. Johns Hopkins University Press, Baltimore (1996)

    Google Scholar 

  5. Linß, T.: Layer-Adapted Meshes for Reaction-Convection-Diffusion Problems. Volume 1985 of Lecture Notes in Mathematics. Springer, Berlin (2010)

    Google Scholar 

  6. MacLachlan, S., Madden, N.: Robust solution of singularly perturbed problems using multigrid methods. SIAM J. Sci. Comput. 35, A2225–A2254 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  7. Overton, M.L.: Numerical Computing with IEEE Floating Point Arithmetic. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2001)

    Google Scholar 

  8. Saad, Y.: Iterative Methods for Sparse Linear Systems, 2nd edn. Society for Industrial and Applied Mathematics, Philadelphia (2003)

    Book  MATH  Google Scholar 

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Correspondence to Thái Anh Nhan .

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Nhan, T.A., Madden, N. (2015). Cholesky Factorisation of Linear Systems Coming from Finite Difference Approximations of Singularly Perturbed Problems. In: Knobloch, P. (eds) Boundary and Interior Layers, Computational and Asymptotic Methods - BAIL 2014. Lecture Notes in Computational Science and Engineering, vol 108. Springer, Cham. https://doi.org/10.1007/978-3-319-25727-3_16

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