The Department of Optimization organizes the "Optimization Seminar August 2024" with content covering from the theory of Convex Analysis to practical applications such as machine learning and image reconstruction. Details are as follows:
- Speaker: Prof. Dr. Nguyen Mau Nam - Portland State University, USA.
- Time: 9:00 am, Tuesday, August 13, 2024.
- Venue: Room F207 - University of Science, Campus 1, 227 Nguyen Van Cu, District 5, Ho Chi Minh City.
- Title: Generalized Differentiation and Applications to Optimization: from Convexity to Nonconvexity
- Abstract:
In this presentation, we introduce recent advances in developing calculus rules of generalized differentiation for nonsmooth functions and set-valued mappings in both finite and infinite dimensions, spanning from convexity to nonconvexity. We also explore how generalized differentiation can address convex and nonconvex optimization challenges, particularly those that are of a nonsmooth nature. Our focus includes studying multifacility location, machine learning, and image reconstructions from both theoretical and numerical perspectives. We introduce optimization techniques to design algorithms for solving the optimization problems arising in these areas.
The students, master’s students and Ph.D. students and anyone interested are invited to participate in the meeting. To attend, please click on the link.
