Numerical Analysis
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More about numerical analysis
Applications
- Fluid dynamics
- Solid mechanics
- Materials science
- Statistical physics
- Quantum mechanics
- Mathematical biology
- Computer vision
- Data science
- Machine learning
Seminars
- Weekly seminar series in data science and applied and computational mathematics
Faculty
Douglas Arnold
McKnight Presidential Professor
arnold@umn.edu
Numerical analysis, differential equations, mechanics, computational relativity
Jeffrey Calder
Associate Professor
jwcalder@umn.edu
partial differential equations, numerical analysis, applied probability, machine learning, image processing and computer vision
William Leeb
Associate Professor
wleeb@umn.edu
applied mathematics, computational harmonic analysis, signal and image processing, data analysis
Gilad Lerman
Professor
lerman@umn.edu
computational harmonic analysis, analysis of large data sets and statistical learning, bio-informatics
Yulong Lu
Assistant Professor
yulonglu@umn.edu
Mathematical foundations of machine learning and data sciences, applied probability and stochastic dynamics, applied analysis and PDEs, Bayesian and computational statistics, inverse problems and uncertainty quantification
Mitchell Luskin
Professor
luskin@umn.edu
numerical analysis, scientific computing, applied mathematics, computational physics
Peter Olver
Professor
olver@umn.edu
Lie groups, differential equations, computer vision, applied mathematics, differential geometry, mathematical physics
Alex Watson
Assistant Professor
abwatson@umn.edu
Partial differential equations, mathematical physics, numerical analysis, computational physics, data science