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Implementation of Stable Skew–Symmetric Matrix Factorization for Fermi GPUs Using CUDA

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Facing the Multicore-Challenge III

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7686))

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Abstract

Although not as common as symmetric matrices, skew-symmetric matrices arise in practice in fields such as physics, biology and economy, as well as a first step in solving the skew-symmetric eigenvalue problem.

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References

  1. Bunch, J.R.: A Note on the Stable Decomposition of Skew–Symmetric Matrices. Math. Comp. 38(158), 475–479 (1982)

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Krajina, N. (2013). Implementation of Stable Skew–Symmetric Matrix Factorization for Fermi GPUs Using CUDA. In: Keller, R., Kramer, D., Weiss, JP. (eds) Facing the Multicore-Challenge III. Lecture Notes in Computer Science, vol 7686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35893-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-35893-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35892-0

  • Online ISBN: 978-3-642-35893-7

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