Bin Han, PhD

Area of Study / Keywords

Applied Mathematics Applied Harmonic Analysis Scientific Computing Approximation Theory

About

My research area is on wavelet theory and its applications to image processing, data sciences, CAGD, and scientific computing. Published the book: Framelets and Wavelets: Algorithms, Analysis and Applications, (2017). Personal web page is at http://www.ualberta.ca/~bhan

Research

Areas

Applied and Computational Harmonic Analysis, Wavelets and Framelets, Scientific Computing and Numerical Algorithms, Wavelet-based Image Processing and Data Sciences, Splines and Approximation Theory

MATH 536 - Numerical Solutions of Partial Differential Equations I

Finite difference and finite element methods for boundary-value problems of elliptic equations. Numerical algorithms for large systems of linear algebraic equations: direct, classical relaxation, multigrid and preconditioned conjugate gradient methods. Algorithms for vector/parallel computers and the domain decomposition method. Prerequisites: MATH 337, 436 or equivalent and some computer programming.

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