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Directors:
Randolph E. Bank
Philip E. Gill
Michael Holst
Administrative Contact:
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Randolph E. Bank
Philip E. Gill
Michael Holst
Administrative Contact:
[ Click to Send Email ]
Welcome
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
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
Events
CCoM Seminar
Tuesday, May 13, 2025
11:00 AM / AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS)
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks
Zihan Shao, UCSD
Tuesday, May 13, 2025
11:00 AM / AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS)
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks
Zihan Shao, UCSD
CCoM Seminar
Tuesday, April 22, 2025
11:00 AM / AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS)
BiLO: Bilevel Local Operator Learning for PDE inverse problems with uncertainty quantification
Ray Zirui Zhang, UC Irvine
Tuesday, April 22, 2025
11:00 AM / AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS)
BiLO: Bilevel Local Operator Learning for PDE inverse problems with uncertainty quantification
Ray Zirui Zhang, UC Irvine
CCoM Seminar
Tuesday, April 15, 2025
11:00 AM / AP&M 2402
An Overview of Nonlinearly Partitioned Runge-Kutta Methods
Brian Tran, Los Alamos National Laboratory
Tuesday, April 15, 2025
11:00 AM / AP&M 2402
An Overview of Nonlinearly Partitioned Runge-Kutta Methods
Brian Tran, Los Alamos National Laboratory
CCoM Seminar
Tuesday, April 8, 2025
11:00 AM / AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS)
Efficient and optimal quantized compressed sensing
Junren Chen, University of Hong Kong
Tuesday, April 8, 2025
11:00 AM / AP&M 2402 and Zoom ID 946 4079 7326 (Joint with MINDS)
Efficient and optimal quantized compressed sensing
Junren Chen, University of Hong Kong