L Auslander, E Feig, et al.
Advances in Applied Mathematics
Some theoretical and practical aspects of common random numbers (CRN) for variance reduction in simulation analysis are considered. A simple proof of the optimality of CRN is presented and the efficiency of this technique for variance reduction is discussed. Applications of CRN to production planning and inventory problems while using stochastic approximation are given. © 1984.
L Auslander, E Feig, et al.
Advances in Applied Mathematics
Ziv Bar-Yossef, T.S. Jayram, et al.
Journal of Computer and System Sciences
Jaione Tirapu Azpiroz, Alan E. Rosenbluth, et al.
SPIE Photomask Technology + EUV Lithography 2009
George Markowsky
J. Math. Anal. Appl.