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System optimization and control have become the key design philosophies in modern control system theories, where reinforcement learning (RL) algorithm has drawn considerable attention in recent litera...
Gives some vague ideas about useful control design tools that might be based on LMI algorithms.
A sensor network of nodes with wireless transceiver capabilities and limited energy is considered. We propose distributed algorithms to compute an optimal routing scheme that maximizes the time at whi...
arrsive algorithms where random observations enter are studied in a fairly general framework. An important feature is that the observations may depend on previous “outputs” of the algorithm. The consi...
Rearrsive algorithms where random observations enter are studied in a fairly general framework. An important feature is that the observations may depend on previous “outputs” of the algorithm. The con...
In this paper, a generalized Stokes problem is solved by multi-subdomain decomposition methods, and three parallel domain decomposition algorithms are proposed and analyzed. The derived results show t...
The convergence and rate of convergence of an iterative method of Wang and Scott[1] for obtaining maximum likelihood estimates for contingency tables derived from a mover-stayer model are discussed.
摘要 In this paper we discuss the convergence of the Broyden algorithms without convexity and exact line search assumptions. We proved that if the objective function is suitably smooth and the algorithm...
This paper presents a unified framework of the nonmonotone convex combinationalgorithms (such as Frank-Wolfe Algorithm) for solving the traffic assignmentproblems. Global convergence results are estab...
We present two parallel algorithms based on the domain decomposition methodfor solving a variational inequality over a closed convex cone. First, construct an opencovering {Ω_i} of the original domain...

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