Speaker: Simone Brugiapaglia
Affiliation:  Politecnico di Milano --- Laboratory for Modeling and 
Scientific Computing MOX
Time:  Tuesday, December 15,  11 am
Place: Sala Seminari Est, Dipartimento di Informatica, Università di Pisa
Title: CORSING: Sparse approximation of PDEs based on Compressed Sensing
Abstract: We present a novel method for the numerical approximation of 
PDEs, motivated by recent developments in sparse representation, and 
particularly by compressed sensing. We named this approach CORSING 
(COmpRessed SolvING).
Establishing an analogy between the sampling of a signal and the 
Petrov-Galerkin discretization of a PDE, the CORSING method can recover 
the best s-term approximation to the solution with respect to N suitable 
trial functions, with s<<N, by evaluating the bilinear form associated 
with the PDE against a randomized choice of m<<N test functions. This 
yields an underdetermined m x N linear system, that is solved by means 
of sparse optimization techniques.
A theoretical analysis of the CORSING procedure is presented, based on 
the concepts of local a-coherence and restricted inf-sup property, along 
with numerical experiments that confirm the robustness and reliability 
of the proposed strategy.
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Everyone is welcome!
-- 
--federico poloni