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Today is:
Sat, Oct 16, 2021


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3:30pm
to
4:30pm
Math Seminar Series  (Conferences / Seminars / Lectures)

Applied Mathematics

Jianfeng Cai, Hong Kong University of Science and Technology, will be speaking.

The presentation title is "Landscape analysis of non-convex optimizations in phase retrieval."

Contact Olga Turanova (turanova@msu.edu) for more information.

Non-convex optimization is a ubiquitous tool in scientific and engineering research. For many important problems, simple non-convex optimization algorithms often provide good solutions efficiently and effectively, despite possible local minima. One way to explain the success of these algorithms is through the global landscape analysis. In this talk, we present some results along with this direction for phase retrieval. The main results are, for several of non-convex optimizations in phase retrieval, a local minimum is also global and all other critical points have a negative directional curvature. The results not only explain why simple non-convex algorithms usually find a global minimizer for phase retrieval, but also are useful for developing new efficient algorithms with a theoretical guarantee by applying algorithms that are guaranteed to find a local minimum.

more information...


Location: Online via Zoom [map]
Price: free
Sponsor: Department of Mathematics
Contact: Department of Mathematics
phone pic (517) 353-0844