Journal: Monte Carlo Meth. and Appl.

Volume 2, Issue 4

255 -- 270Giray Ökten. A Probabilistic Result on the Discrepancy of a Hybrid-Monte Carlo Sequence and Applications
271 -- 294Katusi Fukuyama. Riesz-Raikov sums and Weyl transform
295 -- 320Bruno Tuffin. On the use of low discrepancy sequences in Monte Carlo methods
321 -- 330Yi Jun Xiao. Variation of product function and numerical solution of some partial differential equations by low-discrepancy sequences
331 -- 342Keizo Takashima. On Hamming weight test and sojourn time test of m-sequences

Volume 2, Issue 3

175 -- 190Shigeyoshi Ogawa. On a Robustness of The Random Particle Method
191 -- 218Dimitrije Ugrin-Sparac. A Natural Algorithm for Generation of Pseudo-Random Numbers and its Applications
219 -- 236M. V. Antipov. Sequences of Numbers for Monte Carlo Methods
237 -- 250L. N. Sahoo, M. Dalabehera. A Monte Carlo comparison of six almost unbiased ratio estimators

Volume 2, Issue 2

93 -- 128Vlad Bally, Denis Talay. The Law of the Euler Scheme for Stochastic Differential Equations: II. Convergence Rate of the Density
129 -- 138G. C. Sharma, M. S. Chauhan. Preventive Maintenance of an M x /G/1 Queue-like Production System
139 -- 144M. S. Chauhan, G. C. Sharma. Profit Analysis of M/M/r Queueing Model with Balking and Reneging
145 -- 158Yu. N. Kopylov, I. S. Postnova, V. A. Shpack, G. S. Zinchenko. Monte Carlo Modeling of Radioactive Fallout Under Land-based Nuclear Bursts
159 -- 171K. K. Sabelfeld, T. A. Averina. Monte Carlo Simulation of Particle's Dispersion in Convective Boundary Layer of the Atmosphere

Volume 2, Issue 1

1 -- 14Igor Radovic, Ilya M. Sobol, Robert F. Tichy. Quasi-Monte Carlo Methods for Numerical Integration: Comparison of Different Low Discrepancy Sequences
15 -- 24Keizo Takashima. On the number of multiples of certain primitive polynomials over GF(2)
25 -- 40S. V. Rogasinsky. On the pair correlations of particle evolution in the direct statistical simulation
41 -- 88K. K. Sabelfeld, S. V. Rogasinsky, Anastasia Kolodko, Alexander I. Levykin. Stochastic algorithms for solving Smolouchovsky coagulation equation and applications to aerosol growth simulation