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
News and Announcements
NSF/NIH Math/Bio Initiative
CCoM Scientists Participate in NSF/NIH Math/Bio Initiative.
info posted: Sep 1, 2015
CCoM Research Training Grant Five CCoM scientists have been awarded a $1.8M NSF Research Training Grant.
info posted: Sep 1, 2014
SCOD14 Southern California Optimization Day, May 23rd, 2014 info posted: May 7, 2014
PCGM30 30th Pacific Coast Gravity Meeting, March 28-29, 2014 info posted: Feb 13, 2014
GPDE2013 GPDE2013 Workshop, January 10-25, 2013 info posted: Feb 13, 2014
Tuesday, May 19, 2015
11:00 AM / AP&M 2402 Variational integrators for interconnected Lagrange-Dirac systems and structured model reduction on Lie groups Helen Parks, UCSD