Mathematics Colloquia and Seminars
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|Speaker: ||Carmeliza Navasca, Clarkson University|
|Location: ||1147 MSB|
|Start time: ||Tue, Jun 8 2010, 10:00AM|
In the last decade, tensor decompositions and tensor-based methods have been
powerful techniques in advancing signal processing, and have provided
analytical tools for environmental data and chemical systems. New
applications of these tensor-based methods are in applied and computational
math. Currently, the underlying methods for tensor decompositions are
optimization techniques, namely, the alternating-least-squares methods.
These methods have many drawbacks like slow convergence and degeneracy
In this talk, I will describe new methods for tensor decompositions based on
semidefinite programming and regularization. I will also include new
iterative solvers applied to some problems in PDEs and new tensor
decompositions which are based on the Einstein contracted product.