基于极小极大可微性的 Stokes 流最优形状设计
最优化与控制
2007-05-23 v1
摘要
本文关注具有非齐次边界条件的 Stokes 方程驱动的粘性不可压缩流体的形状敏感性分析。利用涉及拉格朗日泛函的极小极大表述的可微性,并结合函数空间参数化技术或函数空间嵌入技术,建立了给定成本函数下关于可变域形状的形状梯度结构。我们将一种梯度型算法应用于该问题。数值算例表明,我们的理论具有实用价值,且所提出的算法是可行的。
引用
@article{arxiv.0704.0485,
title = {Optimal Shape Design for Stokes Flow Via Minimax Differentiability},
author = {Z. M. Gao and Y. C. Ma and H. W. Zhuang},
journal= {arXiv preprint arXiv:0704.0485},
year = {2007}
}
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