MATH6222 - Topics in Numerical Analysis II - 2024/25

General Information

Lecturer

• Jingrong Wei
  • Office: LSB 228
  • Email:
  • Office Hours: by appointment

Time and Venue

• Lecture: Wed 2:30-5:15pm, LSB 222

Lecture Notes

• Lecture 1: Smooth Convex Functions
• Lecture 2: Unconstrained Convex Optimization and Gradient Descent Methods
• Lecture 3: Introduction to Neural Network and Machine Learning
• Lecture 4: Conjugate Gradient Method
• Lecture 5-7: Duality Theory in Optimization Methods

Useful Links

• Numerical Methods for PDEs Leture Notes
• Introduction to Numerical Methods for Elliptic Partial Differential Equations
• Finite Difference Methods For Poisson Equation
• iFEM: an Integrated Finite Element Methods Package in MATLAB
• Introduction to Finite Element Methods
• Programming of Finite Element Methods in MATLAB
• Classic Iterative Methods for Linear Equations
• Introduction to Multigrid Methods
• Programming for Multigrid Methods
• Iterative Methods for Nonlinear Elliptic Equations

Honesty in Academic Work

The Chinese University of Hong Kong places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating and plagiarism. Any related offence will lead to disciplinary action including termination of studies at the University. Although cases of cheating or plagiarism are rare at the University, everyone should make himself / herself familiar with the content of the following website:

and thereby help avoid any practice that would not be acceptable.