Geometric Constrained Scalable Algorithm for PDE-Constrained Shape Optimization
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46870-4_27
Reference18 articles.
1. Allaire, G., Dapogny, C., Jouve, F.: Chapter 1 - shape and topology optimization. In: Geometric Partial Differential Equations - Part II, Handbook of Numerical Analysis, vol. 22, pp. 1 – 132. Elsevier (2021). https://doi.org/10.1016/bs.hna.2020.10.004
2. Arora, J., Chahande, A., J.K., P.: Multiplier methods for engineering optimization. Int. J. Numer. Methods Eng. 32(7), 1485–1525 (1991). https://doi.org/10.1002/nme.1620320706
3. Brandenburg, C., Lindemann, F., Ulbrich, M., Ulbrich, S.: Advanced numerical methods for pde constraint optimization with application to optimal design in Navier stokes flow. In: Constrained Optimization and Optimal Control for Partial Differential Equations, International Series of Numerical Mathematics, vol. 160, pp. 257–275. Brinkhäser, Basel (2011). https://doi.org/10.1007/978-3-0348-0133-1_14
4. Deckelnick, K., Herbert, P., Hinze, M.: A novel w1 approach to shape optimisation with lipschitz domains. ESAIM: COCV 28 (2022). https://doi.org/10.1051/cocv/2021108
5. Geuzaine, C., Remacle, J.F.: Gmsh: a 3-D finite element mesh generator with built-in pre- and post-processing facilities. Int. J. Numer. Meth. Eng. 79(11), 1309–1331 (2009). https://doi.org/10.1002/nme.2579
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