Titlebook: Recent Advances in Optimization; Alberto Seeger Conference proceedings 2006 Springer-Verlag Berlin Heidelberg 2006 Analysis.Calculus of Va

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书目名称Recent Advances in Optimization影响因子(影响力)




书目名称Recent Advances in Optimization影响因子(影响力)学科排名




书目名称Recent Advances in Optimization网络公开度




书目名称Recent Advances in Optimization网络公开度学科排名




书目名称Recent Advances in Optimization被引频次




书目名称Recent Advances in Optimization被引频次学科排名




书目名称Recent Advances in Optimization年度引用




书目名称Recent Advances in Optimization年度引用学科排名




书目名称Recent Advances in Optimization读者反馈




书目名称Recent Advances in Optimization读者反馈学科排名

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Recent Advances in Optimization978-3-540-28258-7Series ISSN 0075-8442 Series E-ISSN 2196-9957

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Lecture Notes in Economics and Mathematical Systemshttp://image.papertrans.cn/r/image/822926.jpg

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Existence and Structure of Solutions of Autonomous Discrete Time Optimal Control ProblemsIn this paper we consider autonomous discrete time optimal control problems. We discuss the reduction to finite cost and the representation formula, the existence of optimal solutions on infinite horizon and their structure, and the structure of optimal solutions on finite intervals.

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A Note on Error Estimates for some Interior Penalty Methodsppropriate growth conditions on the objective function, we derive computable estimates for the distance from the subproblem solution to the solution of the original problem. Some of those estimates are shown to be sharp.

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—Optimal Boundary Control of a String to Rest in Finite Timeboundary points is considered. The corresponding optimal control problem where the objective function is the .-norm of the controls is solved in the sense that the controls that are successful and minimize at the same time the objective function are determined as functions of the initial state.

拱形面包

Some Characterizations of Convex Gamesme of a nonnegative totally balanced game can be easily obtained from the maximum average value (MAV) function of the game. This result is then used to get a characterization of convex games in terms of MAV functions. It is also proved that a game is convex if and only if all of its marginal games are totally balanced.