论文信息 - One-Shot Domain Decomposition Methods for Shape Optimization Problems

One-Shot Domain Decomposition Methods for Shape Optimization Problems

Shape optimization aims to optimize an objective function by changing the shape of the computational domain. In recent years, shape optimization has received considerable attentions. On the theoretical side there are several publications dealing with the existence of solution and the sensitivity analysis of the problem; see e.g., [6] and references therein.

Xiao-Chuan Cai | Rongliang Chen

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[7] Xiao-Chuan Cai,et al. Parallel Multilevel Restricted Schwarz Preconditioners with Pollution Removing for PDE-Constrained Optimization , 2007, SIAM J. Sci. Comput..

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[9] Xiao-Chuan Cai,et al. Parallel Full Space SQP Lagrange-Newton-Krylov-Schwarz Algorithms for PDE-Constrained Optimization Problems , 2005, SIAM J. Sci. Comput..