Bin Han, PhD
Contact
Professor, Faculty of Science - Mathematics & Statistical Sciences
- bhan@ualberta.ca
- Address
-
541 Central Academic Building
11324 - 89 Ave NWEdmonton ABT6G 2G1
Overview
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
Courses
MATH 417 - Real Analysis
Brief review of set operations and countable sets. Measure theory, integration theory, Lebesgue measure and integrals on R^n, product measure, Tonelli-Fubini theorem. Functions of bounded variation, absolutely continuous functions. Prerequisite: MATH 317 or 414.
MATH 514 - Measure Theory I
Brief review of set operations and countable sets. Measure theory, integration theory, Lebesgue measure and integrals on R^n, product measure, Tonelli-Fubini theorem. Functions of bounded variation, absolutely continuous functions. Prerequisites: Math 317.
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.