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

Douglas Arnold

McKnight Presidential Professor

arnold@umn.edu
Numerical analysis, differential equations, mechanics, computational relativity

Jeffrey Calder

Jeffrey Calder 

Associate Professor 

jwcalder@umn.edu
partial differential equations, numerical analysis, applied probability, machine learning, image processing and computer vision

BC

Bernardo Cockburn

Distinguished McKnight University Professor

bcockbur@umn.edu
numerical analysis

Jasmine Foo

Jasmine Foo

Northrop Professor

jyfoo@umn.edu
mathematical biology and applied mathematics

William Leeb

William Leeb

Assistant Professor

wleeb@umn.edu
applied mathematics, computational harmonic analysis, signal and image processing, data analysis

Gilad Lerman

Gilad Lerman

Professor

lerman@umn.edu
computational harmonic analysis, analysis of large data sets and statistical learning, bio-informatics

Yulong Lu headshot

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

Mitch Luskin

Mitchell Luskin

Professor

luskin@umn.edu
numerical analysis, scientific computing, applied mathematics, computational physics

Peter Olver

Peter Olver

Professor

olver@umn.edu
Lie groups, differential equations, computer vision, applied mathematics, differential geometry, mathematical physics

li-wang.png

Li Wang

Associate Professor

liwang@umn.edu
numerical analysis, scientific computing, applied math

Alex Watson headshot

Alex Watson

Assistant Professor

abwatson@umn.edu
Partial differential equations, mathematical physics, numerical analysis, computational physics, data science