 | Your message has been successfully delivered to the administrator. |  |
|
|
|
|
Focus Group: Computational Applied Mathematics
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Multigrid/Multilevel Methods
Wavelets
Fast Multipole Methods (FMM)
Randomized fast algorithms for approximation of Singular Value Decomposition (SVD) of a huge matrix (e.g., 20 seconds to compute a rank-10 approximation of a matrix of size 1,000,000 x 1,000,000 on a highend laptop).
Compressive Sensing
By:
Lambert
10 months 19 days ago
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Presentation Transcript
|
| Focus Group: Computational Applied Mathematics : Focus Group: Computational Applied Mathematics CSE Retreat
University of California
January 22, 2007 | | Introduction : Introduction What we do: Analysis and development of fast, robust, and accurate numerical algorithms and their applications to a variety of problems
Key point 1: Data are taking up huge volumes, becoming high dimensional, unorganized, and irregularly distributed
Key point 2: Objects (models, data, and operators) are structured → dimension reduction; efficient representations
Key point 3: Continuous vs Discrete
Key point 4: Deterministic vs Stochastic
Key point 5: Multiscale
Key point 6: Optimization of increasingly complex models
Applications: data mining; feature extraction; data analysis; circuit simulation; wireless communication; imaging science; inverse problems; computational statistics; financial modeling; biological systems; CFD; ... | | Introduction…Examples : Introduction…Examples Multigrid/Multilevel Methods
Wavelets
Fast Multipole Methods (FMM)
Randomized fast algorithms for approximation of Singular Value Decomposition (SVD) of a huge matrix (e.g., 20 seconds to compute a rank-10 approximation of a matrix of size 1,000,000 x 1,000,000 on a highend laptop).
Compressive Sensing
... | | Introduction... : Introduction... Member’s names: Most of GGAM members; some people in other departments
Campus community:
GGAM
Anesthesiology
Applied Science
Biomedical Engineering
Chemical Engineering and Material Science
Chemistry
Civil and Environmental Engineering
Computer Science
Electrical and Computer Engineering
Environmental Science and Policy
Evolution and Ecology
Geology
Land, Air and Water Resources
Mathematics
Mechanical and Aeronautical Engineering
Physics
Radiology
Statistics
…
Existing funding: NSF; DOE; DOD; NIH; other foundations, etc. | | Opportunities : Opportunities Larger grants ↔ Attracting good students ↔ High quality research
Future Funding:
NSF MSPA-MCS (Mathematical Sciences: Innovations at the Interface with Computer Sciences)
NSF CPATH (CISE: Pathways to Revitalized Undergraduate Computing Education)
DOD/DOE/NIH/NSA …
More relationship with industry
Opportunities for Interdisciplinary Research & Education:
Funding agencies love interdisciplinary research
Funding agencies love novel approach to education | | Intellectual Overlap : Intellectual Overlap With other focus groups: Computational Applied Mathematics is fundamental to all the focus groups
With other campus groups: GGAM, Statistics, CS, ECE, Applied Science, ...
With other programs: Computational Applied Mathematics is fundamental to any program that uses computation | | What we need… : What we need… A vehicle to attract top students!
In the context of a CSE Research Center:
Annual workshops (one or two) by inviting top people in some targeted fields
Occasional forums to interact, discuss, and present current research projects among participants
Research seminar series by inviting top people
Interdisciplinary reading seminars/journal clubs
In the context of CSE Education:
Structure of offering graduate (and possibly undergraudate) degrees and courses
Programming courses
Cross-listing appropriate courses
A mechanism of reward/encouragement for activities!! |
|
|
|
|
|
|
|