A Empirical Comparison of Monte Carlo Methods for Simulating Random Variants that follow Cubic Polynomial Based Mathematical Models

Craig Hourie, James W. Jury, Richard T. Hurley. A Empirical Comparison of Monte Carlo Methods for Simulating Random Variants that follow Cubic Polynomial Based Mathematical Models. In Richard T. Hurley, Wenying Feng, editors, Proceedings of the ISCA 14th International Conference on Intelligent and Adaptive Systems and Software Engineering, July 20-22, 2005, Novotel Toronto Centre, Toronto, Canada. pages 215-220, ISCA, 2005.

Abstract

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