I have recently organized this 5-day short course:
2018 NSF-CBMS Conference: Computational Methods in Optimal Control
Ph.D. in Mathematics, 2015
Southern Illinois University, Carbondale
M.S. in Computational Mathematics, 2010
South China Normal University
B.Sc. in Information and Computing Science, 2004
Guangdong University of Technology
2019 Fall: Engineering Mathematics, Differential Equations
2019 Spring: Calculus II, Partial Differential Equations
2018 Fall: Differential Equations, Theory of Ordinary Differential Equations
2018 Summer: MATH-567 Numerical Methods for PDEs
2018 Spring: Calculus II, Linear Algebra, Partial Differential Equations
2017 Fall: Engineering Numerical Analysis
Taught Courses at Jackson State University:
2017 Spring: Numerical Analysis, Ordinary Differential Equations
2016 Fall: Calculus III, Real Analysis (Grad)
2016 Summer: Business Calculus I
2016 Spring: Calculus II, Numerical Methods I (Grad)
2015 Fall: Calculus I, Numerical Methods II (Grad)
Taught Courses at Southern Illinois University, Carbondale:
2012 Fall: College Algebra
2012 Spring: Intro to Contemporary Math. (2 sessions)
2011 Fall: Intro to Contemporary Math. (3 sessions)
Mon, Oct 30, 2017, Applied Mathematics Seminar, University of Louisiana at Lafayette
Sat, Sep 30, 2017, The 3nd Annual Meeting of SIAM Central States Section.
Thu, Feb 2, 2017, CAM Seminars, Mississippi State University
Fri, Oct 28, 2016, Departmental Colloquium Talk.
Sat, Oct 1, 2016, The 2nd Annual Meeting of SIAM Central States Section.
Develop Domain Decomposition Algorithms for PDE-Constrained Optimization
Multigrid (MG) methods belong to the best known algorithms for solving some class of PDEs.This code gives a MATLAB implementation of 1D Multigrid algorithm for solving a two-point ODE boundary value problem. Compared with existing online codes, my code tries to balance well between efficiency and readability (simplicity) for practical and wide use.