Randomization is a popular method for the transient solution of continuous-time Markov models. Its primary advantages over other methods (i.e., ODE solvers) are robustness and ease of implementation. It is however well-known that the performance of the method deteriorates with the
CitationCarrasco, J.; Calderón, A. Regenerative randomization: theory and application examples. "ACM SIGMETRICS Performance Evaluation Review", Maig 1995, vol. 23, núm. 1, p. 241-252.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com