关键词：电子信息；网络安全；福克-普朗克方程；不确定性
摘 要：We have significant accomplishments on uncertainty quantification in inverse problems for dynamical systems, generalized sensitivity and optimal design of experiments, elasticity and viscoelasticity modeling for buried target detection, and general inverse problem methodology for proliferating populations. Our efforts have continued on development of efficient accurate integration of Fokker Planck equations. Our objective is to analyze and optimize the dynamic behavior of nonlinear stochastic differential equations, especially the stochastic resonance effects based on the probability density function generated by the Fokker Planck equation. Our approach uses the backward characteristic method and the time-splitting integration of the Fokker Planck equation.