Title :
Approximations for the renewal function
Author :
Garg, Amit ; Kalagnanam, Jayant R.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fDate :
3/1/1998 12:00:00 AM
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;
Journal_Title :
Reliability, IEEE Transactions on