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Adaptive Relaxation for the Steady-State Analysis of Markov Chains

  • Conference paper
Computations with Markov Chains

Extended Abstract

For details of the adaptive smoothing and the multi-level algorithms, as well as a complete list references, we refer the reader to [1].

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References

  1. G. Horton: Adaptive Relaxation for the Steady-State Analysis of Markov Chains. ICASE Report #94–55 NASA CR-194944, NASA Langley Itesarcli Center, June 1994.

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© 1995 Springer Science+Business Media New York

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Horton, G. (1995). Adaptive Relaxation for the Steady-State Analysis of Markov Chains. In: Stewart, W.J. (eds) Computations with Markov Chains. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2241-6_32

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  • DOI: https://doi.org/10.1007/978-1-4615-2241-6_32

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5943-2

  • Online ISBN: 978-1-4615-2241-6

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