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Certified Descent Algorithm for shape optimization driven by fully-computable a posteriori error estimators

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Academic year: 2021

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Figure

Figure 1: Test case for the Electrical Impedance Tomography. Circular inclusion Ω inside the circular body D.
Figure 3A shows the evolution of the error in the Quantity of Interest with respect to the number of Degrees of Freedom of the problem under uniform mesh refinements
Figure 2: Comparison of the convergence rates with respect to the mesh size h for the (A) Neumann and (B) Dirichlet state equations
Figure 3: Comparison of the convergence rates with respect to the number of Degrees of Freedom for the error in the Quantity of Interest using (A) P 1 and (B) P 2 Lagrangian Finite Element functions
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