Abstract
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.
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Bibliography
F. Abraham, M. Behr, and M. Heinkenschloss. Shape optimization in stationary blood flow: A numerical study of non-Newtonian effects. Comput. Methods Biomech. Biomed. Engrg., 8:127–137, 2005.
V. Agoshkov, A. Quarteroni, and G. Rozza. A mathematical approach in the design of arterial bypass using unsteady Stokes equations. J. Sci. Comput., 28:139–165, 2006.
S. Balay, K. Buschelman, V. Eijkhout, W. D. Gropp, D. Kaushik, M. G. Knepley, L. C. McInnes, B. F. Smith, and H. Zhang. PETSc Users Manual. Technical report, Argonne National Laboratory, 2010.
G. Biros and O. Ghattas. Parallel Lagrange-Newton-Krylov-Schur methods for PDE-constrained optimization. Part I: The Krylov-Schur solver. SIAM J. Sci. Comput., 27:687–713, 2005.
O. Ghattas and C. Orozco. A parallel reduced Hessian SQP method for shape optimization. In N. M. Alexandrov and M.Y. Hussaini, editors, Multidisciplinary Design Optimization: State of the Art, pages 133–152. SIAM, Philadelphia, 1997.
M. D. Gunzburger. Perspectives in Flow Control and Optimization: Advances in Design and Control. SIAM, Philadelphia, 2003.
B. Mohammadi and O. Pironneau. Applied Shape Optimization for Fluids. Oxford University Press, Oxford, 2001.
E. Prudencio and X.-C. Cai. Parallel multilevel restricted Schwarz preconditioners with pollution removing for PDE-constrained optimization. SIAM J. Sci. Comput., 29:964–985, 2007.
E. Prudencio, R. Byrd, and X.-C. Cai. Parallel full space SQP Lagrange-Newton-Krylov-Schwarz algorithms for PDE-constrained optimization problems. SIAM J. Sci. Comput., 27:1305–1328, 2006.
A. Quarteroni and G. Rozza. Optimal control and shape optimization of aorto-coronaric bypass anastomoses. Math. Models and Methods in Appl. Sci., 13:1801–1823, 2003.
A. Toselli and O. Widlund. Domain Decomposition Methods: Algorithms and Theory. Springer-Verlag, Berlin, 2005.
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Chen, R., Cai, XC. (2013). One-Shot Domain Decomposition Methods for Shape Optimization Problems. In: Bank, R., Holst, M., Widlund, O., Xu, J. (eds) Domain Decomposition Methods in Science and Engineering XX. Lecture Notes in Computational Science and Engineering, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35275-1_63
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DOI: https://doi.org/10.1007/978-3-642-35275-1_63
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