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山东大学 [4]

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	STOCHASTIC CONVERGENCE OF REGULARIZED SOLUTIONS AND THEIR FINITE ELEMENT APPROXIMATIONS TO INVERSE SOURCE PROBLEMS 期刊论文 SIAM JOURNAL ON NUMERICAL ANALYSIS, 2022, 卷号: 60, 期号: 2, 页码: 751-780 作者: CHEN, Z. H. I. M. I. N. G.; ZHANG, W. E. N. L. O. N. G.; ZOU, J. U. N. 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/02/07 inverse source problems regularization finite element approximation stochastic error estimates
	Dynamical stochastic resonance for nonuniform illumination image enhancement 期刊论文 IET Image Processing, 2018, 卷号: 12, 期号: 12, 页码: 2147-2152 作者: Zhang, Yongbin; Liu, Hongjun; Huang, Nan; Wang, Zhaolu 收藏 \| 浏览/下载：47/0 \| 提交时间：2018/12/18 Image Enhancement Image Fusion Stochastic Processes Iterative Methods Differential Equations Brightness Dynamical Stochastic Resonance Nonuniform Illumination Image Enhancement Dark Tones Low-contrast Image Enhancement Nonlinear Iteration Monostable Langevin Equation Iteration Parameters Intensity Distribution Visibility Balance Naturalness Balance Illumination Compensation Component Computational Time No-reference Perceptual Quality Assessment Lightness Order Error Low-computational Complexity
	AN EFFICIENT GRADIENT PROJECTION METHOD FOR STOCHASTIC OPTIMAL CONTROL PROBLEMS 期刊论文 SIAM JOURNAL ON NUMERICAL ANALYSIS, 2017, 卷号: 55, 期号: 6, 页码: 2982-3005 作者: Gong, Bo; Liu, Wenbin; Tang, Tao; Zhao, Weidong; Zhou, Tao 收藏 \| 浏览/下载：21/0 \| 提交时间：2018/07/30 stochastic optimal control gradient projection methods backward stochastic differential equations conditional expectations
	Networked iterative learning control for discrete-time systems with stochastic packet dropouts in input and output channels 期刊论文 ADVANCES IN DIFFERENCE EQUATIONS, 2017 作者: Liu, Jian; Ruan, Xiaoe 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/26 networked control systems mathematical expectation iterative learning control stochastic packet dropouts
	Surrogate model based iterative ensemble smoother for subsurface flow data assimilation 期刊论文 ADVANCES IN WATER RESOURCES, 2017 Chang, Haibin; Liao, Qinzhuo; Zhang, Dongxiao 收藏 \| 浏览/下载：4/0 \| 提交时间：2017/12/03 Data assimilation Iterative ensemble smoother Surrogate model Independent parameters Subsurface flow PARTIAL-DIFFERENTIAL-EQUATIONS STOCHASTIC COLLOCATION METHOD RANDOM INPUT DATA KALMAN FILTER UNCERTAINTY QUANTIFICATION HYDRAULIC CONDUCTIVITY CONTAMINANT TRANSPORT PARAMETERS FIELDS NONSTATIONARY
	On the iterative learning control for stochastic impulsive differential equations with randomly varying trial lengths 期刊论文 2017, 卷号: 312, 页码: 47-57 作者: Liu, Shengda; Debbouche, Amar; Wang, JinRong 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/01/05
	On the iterative learning control for stochastic impulsive differential equations with randomly varying trial lengths 会议论文 Izmir Univ, Izmir, TURKEY, AUG 02-07, 2015 作者: Liu, Shengda; Debbouche, Amar; Wang, JinRong 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/28
	A nonlinear equation system approach to the dynamic stochastic user equilibrium simultaneous route and departure time choice problem 期刊论文 TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2015, 卷号: 11, 页码: 388-419 作者: Long, Jiancheng; Szeto, W. Y. 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/01/06 dynamic traffic assignment dynamic stochastic user equilibrium nonlinear equations iterative method simultaneous route and departure time choice BFGS method
	Numerical comparison of three stochastic methods for nonlinear PN junction problems 其他 2014-01-01 Yao, Wenqi; Lu, Tiao 收藏 \| 浏览/下载：4/0 \| 提交时间：2015/11/13 Stochastic partial differential equation stochastic Galerkin method stochastic collocation method Monte Carlo method PARTIAL-DIFFERENTIAL-EQUATIONS GENERALIZED POLYNOMIAL CHAOS MODELING UNCERTAINTY
	Mixed H-2/H-infinity control of time-varying stochastic discrete-time systems under uniform detectability 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2014, 卷号: 8, 期号: 17, 页码: 1866-1874 作者: Sheng, Li; Zhang, Weihai; Gao, Ming 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/17 H control H-2 control control system synthesis time-varying systems discrete time systems stochastic systems infinite horizon matrix algebra iterative methods mixed H-2-H control design time-varying stochastic discrete-time systems uniform detectability infinite horizon H-2-H control disturbance dependent noise state dependent noise sufficient condition necessary condition coupled time-varying matrix-valued equations time-varying stochastic H-2-H control iterative algorithm

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