• DocumentCode
    1399380
  • Title

    Approximations for the renewal function

  • Author

    Garg, Amit ; Kalagnanam, Jayant R.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    47
  • Issue
    1
  • fYear
    1998
  • fDate
    3/1/1998 12:00:00 AM
  • Firstpage
    66
  • Lastpage
    72
  • Abstract
    This paper describes an accurate, computable approximation for evaluating the renewal function (RF). The method uses Pade approximants to compute the RF near the origin and switches to the asymptotic values farther from the origin. There is a polynomial switch-over function in terms of the coefficient of variation of the distribution, enabling one to determine a priori if the asymptotic value can be used instead of computing the Pade approximant. The results are tested with the truncated Gaussian distribution. The method yields a set of approximants to the RF that are re-usable, and can be used to compute the derivative and the integral of the RF. Results for the RF are within 1% of the optimal solution for most coefficients of variation
  • Keywords
    Gaussian distribution; approximation theory; polynomials; stochastic systems; stock control; Pade approximants; asymptotic values; polynomial approximations; polynomial switch-over function; renewal function approximations; stochastic inventory system; truncated Gaussian distribution; Application software; Computer network reliability; Distributed computing; Gaussian distribution; Polynomials; Probability distribution; Radio frequency; Stochastic systems; Switches; Telecommunication computing;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.690909
  • Filename
    690909