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Titlebook: Control of Partial Differential Equations; Proceedings of the I Alfredo Bermúdez Conference proceedings 1989 Springer-Verlag Berlin Heidelb

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樓主: choleric
31#
發(fā)表于 2025-3-26 23:36:04 | 只看該作者
32#
發(fā)表于 2025-3-27 04:18:35 | 只看該作者
33#
發(fā)表于 2025-3-27 08:28:45 | 只看該作者
Convergence of suboptimal elements in infinite dimensional nonlinear programming problems, control theory with nonlinear programming theory; in particular we obtain Pontryagin‘s maximum principle in the form of a Kuhn-Tucker condition. In the same fashion we obtain convergence and robustness results for approximate minima.
34#
發(fā)表于 2025-3-27 13:01:25 | 只看該作者
35#
發(fā)表于 2025-3-27 13:51:21 | 只看該作者
Gesamtschaden im kollektiven Modell,use not only mathematical modelling, but also numerical analysis of these models. And at last the path-following methods have proved a powerful tool for the analysis of non-linear effects met in thermal systems cooled by a boiling liquid and even to optimize the behaviour of these systems.
36#
發(fā)表于 2025-3-27 19:29:02 | 只看該作者
0170-8643 s devoted to the following topics: state constrained optimal control problems, shape optimization, identification of parameters, stabilisation, controlability, numerical methods and industrial applications.978-3-540-50495-5978-3-540-46018-3Series ISSN 0170-8643 Series E-ISSN 1610-7411
37#
發(fā)表于 2025-3-28 00:21:28 | 只看該作者
38#
發(fā)表于 2025-3-28 05:11:28 | 只看該作者
39#
發(fā)表于 2025-3-28 08:17:41 | 只看該作者
Heat transfer optimization in industrial systems with multiple steady states,use not only mathematical modelling, but also numerical analysis of these models. And at last the path-following methods have proved a powerful tool for the analysis of non-linear effects met in thermal systems cooled by a boiling liquid and even to optimize the behaviour of these systems.
40#
發(fā)表于 2025-3-28 11:36:33 | 只看該作者
Convergence of suboptimal elements in infinite dimensional nonlinear programming problems,te metric spaces which has been developed in detail by the author and H. Frankowska in [10]. This formulation makes possible to unify in a natural way control theory with nonlinear programming theory; in particular we obtain Pontryagin‘s maximum principle in the form of a Kuhn-Tucker condition. In t
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