Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory
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This book delves into dynamic systems modeling, probability theory, stochastic processes, estimation theory, Kalman filters, and game theory. While many excellent books offer insights into these topics, our proposed book takes a distinctive approach, integrating these diverse subjects to address uncertainties and demonstrate their practical applications.
The author aims to cater to a broad spectrum of readers. The book features approximately 150 meticulously explained solved examples and n...























