Zhaojun Bai - Rayleigh quotient optimizations and eigenvalue problems
|Starts:||14:00 8 Nov 2019|
|Ends:||15:00 8 Nov 2019|
|What is it:||Seminar|
|Organiser:||Department of Mathematics|
Zhaojun Bai from University of California will be speaking at this seminar.
Many computational science and data analysis techniques lead to optimizing Rayleigh quotient (RQ) and RQ type objective functions, such as computing excitation states (energies) of electronic structures, robust classification to handle uncertainty and constrained data clustering to incorporate a prior information. We will discuss origins of recently emerging RQ optimization problem, variational principles, and reformulations to algebraic linear and nonlinear eigenvalue problems. We will show how to exploit underlying properties of eigenvalue problems for designing eigensolvers, and illustrate the efficacy of these solvers in applications.
Role: Professor of Computer Science and Mathematics
Organisation: University of California, Davis
Travel and Contact Information
Frank Adams 1
Alan Turing Building