Close Menu

Gregory Fasshauer

Gregory Fasshauer, Ph.D.

Gregory Fasshauer
Professor of Applied Mathematics
Associate Chair and Director of Undergraduate Studies for the Department of Applied Mathematics






Engineering 1, Room 208A 10 W. 32nd St. Chicago, IL 60616

Office Hours: 

TR 12:30 - 1:30 pm
And by appointment


Ph.D. in Mathematics - Vanderbilt University (1995)
MA in Mathematics - Vanderbilt University (1993)
Diploma & Staatsexamen in Mathematics and English - University of Stuttgart (1991)

Research & Accomplishments 

Meshfree methods for multivariate approximation (radial basis functions, moving least squares and related methods), Applications of meshfree methods (surface and solid model compression, image compression, options pricing, vibration analysis of composite beams and plates, gas-dynamics), Numerical analysis (solution of differential and integral equations, Nash iteration, multilevel algorithms, fast summation methods, meshfree pseudospectral methods, parallel computing), Approximation theory (approximation on spheres, approximate approximation), Computer-aided geometric design (minimal energy surfaces, geometric continuity), Spline theory (approximation with multivariate splines, dimensions of multivariate spline spaces).


Kernel Methods for Numerical Computation, with Fred Hickernell


2012 - Distinguished Teaching Fellow, College of Science and Letters

2008 - AMS Menger Prize Committee

2007 - Dean's Excellence Award for Teaching, College of Science and Letters, IIT.

2003 - Fellow of Wessex Institute of Technology, Great Britain.

1995 - Bjarni Jonsson Prize for Research, Vanderbilt University.


Progress on Meshless Methods (with A.J.M. Ferreira, E.J. Kansa and V.M.A. Leitao), 2008

Meshfree Approximation Methods with MATLAB, 2007


On dimension-independent rates of convergence for function approximation with Gaussian kernels, with F.J. Hickernell and H. Wozniakowski, SIAM J. Numer. Anal. 50/1 (2012), 247-271.

Stable evaluation of Guassian radial basis function interpolants, with M.J. McCourt, SIAM J. Sci. Comput. 34/2 (2012), A737-A762.

Positive definite kernels: past, present, future, Dolomites Research Notes on Approximation 4 (2011), 21-63.

Reproducing kernels of generalized Sobolev spaces via a Green function apporach with distributional operators, with Q. Ye, Numer. Math 119 (2011), 585-611.

On choosing "optimal" shape parameters for RBF approximation, with J.G. Zhang, Numerical Algorithms 45 (2007), 345-368.

Newton iteration with multiquadrics for the solution of nonlinear PDEs, Comput. Math. Applic. 43 (2002), 423—438.

Multistep approximation algorithms: improved convergence rates through postconditioning with smoothing kernels, with Joe Jerome, Adv. Comput. Math. 10 (1999), 1—27.

Scattered data fitting on the sphere, with LL Schumaker, M. Daehlen, and T. Lyche, in Mathematical Methods for Curves and Surfaces II, Vanderbilt University Press, pg. 117-166, 1998.

Solving partial differential equations by collocation with radial basis functions, with A Le Mehaute, C. Rabut, and LL Schumaker, in Surface Fitting and Multiresolution Methods, Vanderbilt University Press, pg. 131-138, 1997.

Professional Societies