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Titlebook: Computational Methods for Optimal Design and Control; Proceedings of the A Jeff Borggaard,John Burns,Scott Schreck (Directora Conference pr

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31#
發(fā)表于 2025-3-26 21:49:06 | 只看該作者
32#
發(fā)表于 2025-3-27 03:05:53 | 只看該作者
resented at the Second Workshop. More than 65 participants from 6 countries attended the meeting and contributed to its success. It has long been recognized that many modern optimal design problems are best viewed as variational and optimal control problems. Indeed, the famous problem of determining the body 978-1-4612-7279-3978-1-4612-1780-0
33#
發(fā)表于 2025-3-27 06:05:40 | 只看該作者
34#
發(fā)表于 2025-3-27 11:34:13 | 只看該作者
35#
發(fā)表于 2025-3-27 14:44:54 | 只看該作者
Computational Methods for Optimal Design and Control978-1-4612-1780-0
36#
發(fā)表于 2025-3-27 19:20:44 | 只看該作者
Optimal Disturbances in Boundary Layers,yer approximation, we numerically calculate the upstream disturbances experiencing maximum spatial energy growth. The calculations use techniques commonly employed when solving optimal-control problems for distributed parameter systems. The calculated optimal disturbances consist of streamwise vorti
37#
發(fā)表于 2025-3-28 01:35:40 | 只看該作者
,MDO — A Mathematical View Point,s, sensitivity, and optimization. For the sensitivity and optimization problems both multidisciplinary and single discipline feasibility schemes are considered. In all these cases a “convergence factor” is estimated in terms of the Jacobians and hessians of the system, thus it can also be approximat
38#
發(fā)表于 2025-3-28 02:39:47 | 只看該作者
39#
發(fā)表于 2025-3-28 10:19:42 | 只看該作者
Observations in Adaptive Refinement Strategies for Optimal Design,the solution of a partial differential equation. We demonstrate several advantages in using adaptive refinement strategies to approximate this PDE. For example, error estimates which are used to perform the mesh refinement can be used to get estimates on how well the objective function and its gradi
40#
發(fā)表于 2025-3-28 11:17:21 | 只看該作者
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