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Titlebook: Optimal Design and Control; Proceedings of the W Jeffrey Borggaard,John Burkardt,Janet Peterson Conference proceedings 1995 Springer Scienc

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31#
發(fā)表于 2025-3-26 21:24:36 | 只看該作者
32#
發(fā)表于 2025-3-27 04:04:38 | 只看該作者
33#
發(fā)表于 2025-3-27 06:41:07 | 只看該作者
Contact Shape Optimization,eal with one of the most typical applications of variational inequalities in solid mechanics, namely with the so called . for linearly elastic bodies. A detailed mathematical analysis can be found in [.].
34#
發(fā)表于 2025-3-27 12:51:28 | 只看該作者
An Introduction to the Formation Theory of Active Materials, subject has much in common with . problems in a similar context, the optimal design part of the work primarily involving the specification of parameter functions in a particular class of partial differential equations.
35#
發(fā)表于 2025-3-27 14:20:54 | 只看該作者
Computational Aspects of Differential Dynamic Programming and Nonlinear Programming Techniques for ts are discussed. It is shown that implementation details of the methods can have considerable impact on the performance of the methods. Example problems are solved to compare performance of the methods.
36#
發(fā)表于 2025-3-27 21:00:39 | 只看該作者
A Generalized Reduced Gradient Algorithm for Large-scale Trajectory Optimization Problems,ontrol problem into a sparse, large scale parameter optimization problem for subsequent numerical solution by a nonlinear programming algorithm. This paper focuses on the design of a generalized reduced gradient algorithm to exploit the sparsity structure of the collocation equations.
37#
發(fā)表于 2025-3-28 01:51:59 | 只看該作者
Generating Conjugate Directions Using Limited Second Derivatives,within a truncated Newton code or to improve nonlinear conjugate gradient codes with respect to the aspects: stepsize prediction, search direction conjugacy, restart criteria. We report preliminary results with an experimental conjugate gradient implementation.
38#
發(fā)表于 2025-3-28 02:38:08 | 只看該作者
39#
發(fā)表于 2025-3-28 08:41:54 | 只看該作者
Preparation of Advanced CFD Codes for use in Sensitivity Analyses and Multidisiplinary Design Optiminued to involve government and university personnel. The several topics to be discussed and illustrated with sample results are as follow:.Some of these techniques have already been suggested for doing parts of the problem more efficiently; the contribution here is demonstrating how they fit together in a mutually beneficial way.
40#
發(fā)表于 2025-3-28 11:36:05 | 只看該作者
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