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Directors:
Randolph E. Bank
Philip E. Gill
Michael Holst

Administrative Contact:
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CCoM and CSME Events

Time/Place: CCoM and CSME Seminars are usually 11am Tuesdays or Thursdays in AP&M 2402 (unless listed otherwise). Both seminar series are open to the campus, and we normally have people from a number of different departments from across the campus attending both series.

Mailing Lists: Announcements for the seminars are sent out a few days before the lectures to the campus-wide CCOM-L and CSME-L mailing lists. To self-subscribe/unsubscribe to the mailing lists, use the following links:
May 13
CCoM Seminar
(Tuesday, 11:00am, AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS))
Speaker: Zihan Shao, UCSD
Title: Solving Nonlinear PDEs with Sparse Radial Basis Function Networks
April 22
CCoM Seminar
(Tuesday, 11:00am, AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS))
Speaker: Ray Zirui Zhang, UC Irvine
Title: BiLO: Bilevel Local Operator Learning for PDE inverse problems with uncertainty quantification
April 15
CCoM Seminar
(Tuesday, 11:00am, AP&M 2402)
Speaker: Brian Tran, Los Alamos National Laboratory
Title: An Overview of Nonlinearly Partitioned Runge-Kutta Methods
April 8
CCoM Seminar
(Tuesday, 11:00am, AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS))
Speaker: Junren Chen, University of Hong Kong
Title: Efficient and optimal quantized compressed sensing
March 4
CCoM Seminar
(Tuesday, 11:00am, AP&M 2402 and Zoom ID 946 7260 9849)
Speaker: Minxin Zhang, UCLA
Title: Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization
February 7
CCoM Seminar
(Friday, 11:00am, AP&M 2402 and Zoom ID 946 7260 9849)
Speaker: Li Wang, University of Minnesota
Title: Learning-enhanced structure preserving particle methods for nonlinear PDEs
February 4
CCoM Seminar
(Tuesday, 11:00am, AP&M 2402 and Zoom ID 946 7260 9849)
Speaker: Robert Webber, UCSD
Title: Randomized least-squares solvers
January 28
CCoM Seminar
(Tuesday, 11:00am, AP&M 2402 and Zoom ID 946 7260 9849)
Speaker: Lijun Ding, UCSD
Title: Flat minima generalize for low-rank matrix recovery
 
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