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Upcoming Events › Numerical Analysis Seminar

February 2018

Wilkins Aquino, Duke University, A Locally Adapted Reduced Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems

February 27 | 3:00 pm - 4:00 pm EDT

The numerical solution of large-scale risk-averse PDE-constrained optimization problems requires substantial computational effort due to the discretization in physical and stochastic dimensions. Managing the cost is essential to tackle such problems with high dimensional uncertainties. In this work, we combine an inexact trust-region…

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March 2018

Gabor Pataki, UNC-Chapel Hill, Bad semidefinite programs, linear algebra, and short proofs

March 13 | 3:00 pm - 4:00 pm EDT

Semidefinite programs (SDPs) -- optimization problems with linear constraints, linear objective, and semidefinite matrix variables --  are some of the most useful, versatile, and pervasive optimization problems to emerge in the last 30 years. They find applications in combinatorial optimization, machine learning, and statistics, to…

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