GENERALIZED MONTE-CARLO PERTURBATION ALGORITHMS FOR CORRELATED SAMPLING AND A SECOND ORDER TAYLOR SERIES APPROACH
A generalized formulation of two different Monte-Carlo perturbation algorithms is presented for the collision and the track length estimator. They are based on correlated sampling and a second-order Taylor series approach. In a synopsis their mutual advantages are discussed, especially in view of uncertainty behaviour. A promising scheme for their application in eigenvalue (criticality) problems is included.
Bibliographic Reference: ANNALS OF NUCLEAR ENERGY, VOL. 11 (1984), NO. 9, PP. 455-476
Record Number: 1989123018100 / Last updated on: 1987-01-01
Available languages: en