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What you should know about simulation and derivatives
Authors:Michael C. Fu
Affiliation:Robert H. Smith School of Business & Institute for Systems Research, University of Maryland, College Park, Maryland 20742
Abstract:Derivatives (or gradients) are important for both sensitivity analysis and optimization, and in simulation models, these can often be estimated efficiently using various methods other than brute‐force finite differences. This article briefly summarizes the main approaches and discusses areas in which the approaches can most fruitfully be applied: queueing, inventory, and finance. In finance, the focus is on derivatives of another sort. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008
Keywords:stochastic simulation  Monte Carlo simulation  derivatives  gradient estimation  perturbation analysis  likelihood ratio method  score function method  weak derivatives  financial Greeks  Malliavin calculus
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