MA 4323/6323: Numerical Analysis II - Spring 2025
Logistics
- Instructor: Prof. Seongjai Kim
- Classroom: TBA; MWF 10:00-10:50AM
Begins on Wed 1/15 and ends on Tue 5/6.
- Office Hours: MWF 9:00-9:50AM
- Textbook: Seongjai Kim,
Numerical Analysis using Maple and Matlab, Lecture Note.
Download
- Reference: Richard L. Burden and J. Douglas Faires,
Numerical Analysis (9th Ed.), Brooks/Cole 2011.
- Please feel free to contact me for any questions, suggestions, or problems.
Course Subjects
We will cover Chapters 7-12 of the lecture note.
- Ch.7: Approximation Theory
- Ch.8: Eigenvalues and Matrix Decomposition
- Ch.9: Iterative Alebraic Solvers
- Ch.10: Machine Learning
- Ch.11: Boundary-Value Problems of One Variable
- Ch.12:Numerical Solutions to Partial Differential Equations
Learning Objectives
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To provide advanced undergraduate students and early year graduate students
with a solid mathematical background for numerical methods.
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To recognize mathematical issues that arise in scientific computing.
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To discuss recent approaches in scientific computing.
See details:
MA-4323-6323-NA2-Syllabus.pdf
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