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Prof. Alan Edelman

Professor of Applied Mathematics

Primary DLC

Department of Mathematics

MIT Room: 2-349
(617) 253-7770

Areas of Interest and Expertise

Parallel Scientific Computing
Numerical Analysis
Applied Probability and Statistics
Numerical Linear Algebra
Physical Mathematics
Theoretical Computer Science
Applied Mathematics
Big Data
EigenValues of Random Matrices (some words of explanation -- scientific computing as opposed to the term "parallel computation" refers to the solutions of numerical problems using either fast computers or new specialized algorithms. Emphasis is on the solution of an applied problem that usually originates from an engineering or applied math problem rather than the study of the algorithm itself)

Research Summary

Dr. Edelman specializes in numerical analysis and parallel computing and is the recognized leader in eigenvalue analyses and in random matrices. He has written important algorithms for parallel computing. His most recent work concerns computer graphics and medical imaging.

Edelman's group analyzes and develops numerical algorithms both mathematically and as software on the world's fastest supercomputers. Research interests are in applications to physics, medicine, and graphics. Some accomplishments include the analysis of a Fourier transform that is non-exact but might be faster in parallel, as well as the development of a parallel MATLAB enhancement that exploits parallelism through polymorphism.

Recent Work

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