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The modified Newton–Shamanskii method for the solution of a quadratic vector equation arising in Markovian binary trees

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Abstract

In order to determine the extinction probability of a Markovian binary tree, it is necessary to find the minimal nonnegative solution of a quadratic vector equation. We apply the modified Newton–Shamanskii method for solving the equation. We show that the sequence of vectors generated by the modified Newton–Shamanskii method is monotonically increasing and converges to the minimal nonnegative solution of the equation. Numerical experiments show the effectiveness of our method.

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References

  1. Athreya, K.B., Ney, P.E.: Branching Processes. Springer, New York (1972)

    Book  MATH  Google Scholar 

  2. Haccou, P., Jagers, P., Vatutin, V.A.: Branching Processes: Variation, Growth, and Extinction of Populations. Cambridge University Press, New York (2005)

    Book  Google Scholar 

  3. Kimmel, M., Axelrod, D.E.: Branching Processes in Biology. Springer, New York (2002)

    Book  MATH  Google Scholar 

  4. Hautphenne, S., Leibnitz, K., Remiche, M.-A.: Extinction probability in peer-to-peer file diffusion. ACM SIGMETRICS Perform. Eval. Rev. 34(2), 3–4 (2006)

    Article  Google Scholar 

  5. Yang, X., de Veciana, G.: Service capacity of peer-to-peer networks. Technical report, The University of Texas at Austin (2004)

  6. Bean, N., Kontoleon, N., Taylor, P.: Markovian trees: properties and algorithms. Ann. Oper. Res. 160(1), 31–50 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  7. Hautphenne, S., Latouche, G., Remiche, M.-A.: Algorithmic approach to the extinction probability of branching processes. Methodol. Comput. Appl. Probab. 13, 171–192 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  8. Kontoleon, N.: The Markovian binary tree: a model of the macroevolutionary process. Ph.D. thesis, The University of Adelaide (2005)

  9. Hautphenne, S., Latouche, G., Remiche, M.-A.: Newtons iteration for the extinction probability of a Markovian binary tree. Linear Algebra Appl. 428, 2791–2804 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  10. Hautphenne, S., Van Houdt, B.: On the link between Markovian trees and tree-structured Markov chains. Eur. J. Oper. Res. 201, 791–798 (2010)

    Article  MATH  Google Scholar 

  11. Meini, B., Poloni, F.: A Perron iteration for the solution of a quadratic vector equation arising in Markovian binary trees. SIAM. J. Matrix Anal. Appl. 32, 248–261 (2008)

    Article  MathSciNet  Google Scholar 

  12. Bini, D.A., Meini, B., Poloni, F.: On the solution of a quadratic vector equation arising in Markovian binary trees. Numer. Linear Algebra Appl. 18, 981–991 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  13. Poloni, F.: Quadratic vector equations. Linear Algebra Appl. 438, 1627–1644 (2013)

    Article  MATH  MathSciNet  Google Scholar 

  14. Lin, Y., Bao, L.: Convergence analysis of the Newton–Shamanskii method for a nonsymmetric algebraic Riccati equation. Numer. Linear Algebra Appl. 15, 535–546 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  15. Chun, C.-H.: Monotone convergence of Newton-like methods for M-matrix algebraic Riccati equations. Numer. Algorithms 64, 295–309 (2013)

    Article  MathSciNet  Google Scholar 

  16. Kelley, C.T.: Solving Nonlinear Equations with Newton’s Method. SIAM, Philadelphia (2003)

    Book  MATH  Google Scholar 

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Acknowledgments

The authors wish to show their gratitude to an anonymous referee for the helpful suggestions, which greatly improved the paper. This research was supported in part by National Natural Science Foundation of China under Grant 10901024.

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Correspondence to Pei-Chang Guo.

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Guo, PC., Xu, SF. The modified Newton–Shamanskii method for the solution of a quadratic vector equation arising in Markovian binary trees. Calcolo 52, 317–325 (2015). https://doi.org/10.1007/s10092-014-0118-8

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  • DOI: https://doi.org/10.1007/s10092-014-0118-8

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