NUMERICAL SHAPE OPTIMIZATION FOR RELAXED DIRICHLET PROBLEMS

1993 ◽  
Vol 03 (01) ◽  
pp. 19-34 ◽  
Author(s):  
S. FINZI VITA

We consider the numerical approximation of optimal design problems governed by an elliptic partial differential equation, in the relaxed formulation recently introduced by Buttazzo and Dal Maso. A discrete optimality condition is derived for the solution of the optimization problem in the finite element setting, by means of which a convergent algorithm is generated. We discuss the numerical results of its application on different examples.

2021 ◽  
Vol 4 (1) ◽  
pp. 1-18
Author(s):  
Gokul KC ◽  
Ram Prasad Dulal

Poisson equation is an elliptic partial differential equation, a generalization of Laplace equation. Finite element method is a widely used method for numerically solving partial differential equations. Adaptive finite element method distributes more mesh nodes around the area where singularity of the solution happens. In this paper, Poisson equation is solved using finite element method in a rectangular domain with Dirichlet and Neumann boundary conditions. Posteriori error analysis is used to mark the refinement area of the mesh. Dorfler adaptive algorithm is used to refine the marked mesh. The obtained results are compared with exact solutions and displayed graphically.


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