This paper describes an accurate, computable approximation for evaluat
ing the renewal function (RF). The method uses Pade approximants to co
mpute the RF near the origin and switches to the asymptotic values far
ther from the origin. There is a polynomial switchover function in ter
ms of the coefficient of variation of the distribution, enabling one t
o determine a priori if the asymptotic value can be used instead of co
mputing the Pade approximant. The results are tested with the truncate
d Gaussian distribution. The method yields a set of approximants to th
e RF that cue 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 optim
al solution for most coefficients of variation.