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AUTOMATICA
2005
116views more  AUTOMATICA 2005»
14 years 11 months ago
Monotonically convergent iterative learning control for linear discrete-time systems
In iterative learning control schemes for linear discrete time systems, conditions to guarantee the monotonic convergence of the tracking9 error norms are derived. By using the Ma...
Kevin L. Moore, Yangquan Chen, Vikas Bahl
MOC
2000
76views more  MOC 2000»
14 years 11 months ago
The convergence of the cascadic conjugate-gradient method applied to elliptic problems in domains with re-entrant corners
Abstract. We study the convergence properties of the cascadic conjugategradient method (CCG-method), which can be considered as a multilevel method without coarse-grid correction. ...
Vladimir Shaidurov, Lutz Tobiska
JMLR
2002
100views more  JMLR 2002»
14 years 11 months ago
On the Convergence of Optimistic Policy Iteration
We consider a finite-state Markov decision problem and establish the convergence of a special case of optimistic policy iteration that involves Monte Carlo estimation of Q-values,...
John N. Tsitsiklis
MOC
1998
144views more  MOC 1998»
14 years 11 months ago
Convergence of a random walk method for a partial differential equation
Abstract. A Cauchy problem for a one–dimensional diffusion–reaction equation is solved on a grid by a random walk method, in which the diffusion part is solved by random walk...
Weidong Lu
MOR
2007
116views more  MOR 2007»
14 years 11 months ago
Optimal Strategies and Utility-Based Prices Converge When Agents' Preferences Do
A discrete-time financial market model is considered with a sequence of investors whose preferences are described by utility functions Un defined on the whole real line. It is s...
Laurence Carassus, Miklós Rásonyi