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
Assistant 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