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Waiting Time Distribution Response to Traffic Surges Via the Laguerre Transform

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Applied Probability— Computer Science: The Interface

Part of the book series: Progress in Computer Science ((PCS,volume 3))

Abstract

The Laguerre transform, described in detail elsewhere [A] [B], is a novel tool for mechanizing numerically the operations of convolution, differentiation, integration and polynomial multiplication required for applied probability evaluation.

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References

  1. Keilson, J. and Nunn, W. R. (1979), “Laguerre Transformation as a tool for the numerical solution of integral equations of convolution type”, Appl. Math, Comput., 5, pp. 313–359.

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  2. Keilson, J., Nunn, W. R., and Sumita, U. (1981), “The bilateral Laguerre transform”, Appl. Math. Comput., 8, pp. 137–174.

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  6. Sumita, U. (1979), “Numerical evaluation of multiple convolutions, survival functions, and renewal functions for the one-sided normal distribution and the Rayleigh distribution via the Laguerre transformation”, Working Paper Series No. 7912 Graduate School of Management, University of Rochester.

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Endnotes

  • † In general, the expansion converges in the L2-sense. Throughout this paper we consider functions f(x) with (f n) ε ℓ1 so that point-wise convergence is guaranteed. For sufficient conditions for f(x) to have (f n) ε ℓ1, see, e.g., [A], [B] and R. V. Churchill, “Operational Mathematics”, p. 452.

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© 1982 Springer Science+Business Media New York

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Keilson, J., Sumita, U. (1982). Waiting Time Distribution Response to Traffic Surges Via the Laguerre Transform. In: Disney, R.L., Ott, T.J. (eds) Applied Probability— Computer Science: The Interface. Progress in Computer Science, vol 3. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-5798-1_6

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  • DOI: https://doi.org/10.1007/978-1-4612-5798-1_6

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-0-8176-3093-5

  • Online ISBN: 978-1-4612-5798-1

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