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Applied Mathematics and Computational Sciences
AMCS
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approximation

Finite element approximation of parameter dependent eigenvalue problems

Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering
Oct 11, 12:00 - 13:00

B9 L2 R2322

Finite element approximation of parameter dependent eigenvalue problems

Eigenvalue problems arising from partial differential equations are used to model several applications in science and engineering, ranging from vibrations of structures, industrial microwaves, photonic crystals, and waveguides, to particle accelerators.

WAN Approximation of PDEs: Best Approximation, Stabilization and Boundary Conditions

Prof. Silvia Bertoluzza

Mar 5, 16:00 - 17:00

B2 L5 R5209

WAN PDE approximation Stabilization Boundary Dirichlet

We present a theoretical analysis of the Weak Adversarial Networks (WAN) method, recently proposed in [1, 2], as a method for approximating the solution of partial differential equations in high dimensions and tested in the framework of inverse problems. In a very general abstract framework.

Applied Mathematics and Computational Sciences (AMCS)

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