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The Center for Computational Mathematics (CCoM) consists of a broad and diverse group of faculty, researchers, and students, who share a common interest in the mathematical aspects of computation. Research interests that are represented in the group include the theoretical analysis and development of numerical algorithms, and modeling and simulation of complex physical, biological, and engineering systems. A unique aspect of the CCoM group is the concurrent emphasis on mathematics, computation, and applications. This is achieved through a combination of rigorous mathematical analysis, and practical numerical implementation, while being motivated and informed by nontrivial real world applications.

The CCoM Group plays a lead role in UCSD's recently launched campus-wide interdisciplinary doctoral and masters programs in Computational Science, Mathematics, and Engineering (CSME). The CSME graduate program combines the three Physical Sciences departments (Mathematics, Chemistry & Biochemistry, and Physics) with three core engineering departments (Computer Science & Engineering, Mechanical & Aerospace Engineering, and Structural Engineering) to form a unique graduate training program that provides a combination of training in domain expertise with state-of-the-art mathematical and software tools for modern computational science. More information about this new graduate program may be found on the CSME website.

News and Announcements


CCoM Seminar
Tuesday, May 28, 2024
11:00 AM / AP&M 2402 and Zoom ID 982 8500 1195
Extending undirected graph techniques to directed graphs via Category Theory
Sebastian Pardo Guerra, UCSD

CCoM Seminar
Tuesday, May 14, 2024
11:00 AM / AP&M 2402 and Zoom ID 982 8500 1195
A Face-Upwinded Spectral Element Method and Machine Learning for Optimal Meshes
Per-Olof Persson, UC Berkeley

CCoM Seminar
Tuesday, April 23, 2024
11:00 AM / AP&M 2402 and Zoom ID 982 8500 1195
An interacting particle consensus method for constrained global optimization
Haoyu Zhang, UCSD

CCoM Seminar
Tuesday, April 16, 2024
11:00 AM / AP&M 2402 and Zoom ID 982 8500 1195
Higher Order Methods for Bayesian Bandits
Nicholas Zhao, UCSD