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Computationally Efficient Simulations of Stochastically Perturbed Nonlinear Dynamical Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A probabilistic approach is needed to address systems with uncertainties arising in natural processes and engineering applications. For computational convenience, however, the stochastic effects are often ignored. Thus, ...