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Inversion of Symmetric Matrices in a New Block Packed Storage

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Book cover Numerical Analysis and Its Applications (NAA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1988))

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Abstract

In LAPACK we have two types of subroutines for solving problems with symmetric matrices: with full and packed storage. The performance of the full storage scheme is much better because it allows the usage of BLAS Level 2 and 3, while the memory requirements for the packed scheme are about twice less. Recently a new storage scheme was proposed which combines the advantages of both schemes: it has a performance similar to that of full storage, and the memory requirements are a little bit higher than for packed storage. In this paper we apply the scheme for inversion of symmetric indefinite matrices.

This research is supported by the UNI•C collaboration with the IB T.J.Watson Research Center at Yorktown Heights. The last author was partially supported by Grant I-702/97 and Grant MM-707/97 from the Bulgarian inistry of Education and Science.

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References

  1. Anderson, E., Bai, Z., Bischof, C., Demmel, J., Dongarra, J., Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A., Ostrouchov, S., Sorensen, D.: LAPACK Users’ Guide Release 2.0, SIAM, Philadelphia, 1995

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© 2001 Springer-Verlag Berlin Heidelberg

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Georgieva, G., Gustavson, F., Yalamov, P. (2001). Inversion of Symmetric Matrices in a New Block Packed Storage. In: Vulkov, L., Yalamov, P., Waśniewski, J. (eds) Numerical Analysis and Its Applications. NAA 2000. Lecture Notes in Computer Science, vol 1988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45262-1_39

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  • DOI: https://doi.org/10.1007/3-540-45262-1_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41814-6

  • Online ISBN: 978-3-540-45262-1

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