Abstract
In general, the design variables \(z \in {\mathbb{R}^n}\) in the shape optimization problem (Ph) must also satisfy several inequality constraints of the type \(gt\left( z \right) \leqslant 0,\forall l = 1,m\). A general shape optimization problem takes then the form of the following constrained minimization problem
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© 2002 Springer Science+Business Media New York
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Kumar, S. (2002). Constrained Optimization. In: Numerical Methods in Sensitivity Analysis and Shape Optimization. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0069-7_4
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DOI: https://doi.org/10.1007/978-1-4612-0069-7_4
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-6598-6
Online ISBN: 978-1-4612-0069-7
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