Instructor: Professor
Chia-Chieh Jay
Class meeting:
Discussion section:
Grading: Final grade is based on the following four parts.
(a) 25%
Homework assignments.
(b) 5%
Presenting solution in discussion section.
(c) 40% 2
midterm exams. Each one is 20%
(d) 30% Final
exam. It covers all material in the semester.
Textbook and References: Text book: B. Bradie, A friendly introduction to numerical analysis, 2006, Pearson Prentice Hall. R. L. Burden and J. D. Faires, Numerical analysis, 8th ed., 2005, Thomson Brooks.
Class TA:
高欣薇
Office: 綜三 214 Ext : 33075
E-mail: s100021611@m100.nthu.edu.tw
Office Hours: By appointment only.
阮俊維
Office: 綜三 642 分機 : 33128
E-mail: s101021604@m101.nthu.edu.tw
Office
Hours: W6
Course Description: Introduction to the mathematical properties of numerical methods and their applications in computational science and engineering. Study and use of numerical methods for solutions of linear systems of equations, non-linear least-squares data fitting, numerical integration of multi dimensional, non-linear equations and systems of initial value ordinary differential equations. We will study primarily chapters 1-7(skip 4) of the B. Bradie textbook listed above. More detail is provided in tentative schedule listed below.
Syllabus: Syllabus made on
Matlab Information
Matlab is an excellent environment for experimentation in scientific computing. It is not the most efficient environment for large-scale simulations, although with some effort, Matlab can be used in conjunction with C and Fortran routines. Matlab is a product of The Mathworks. For a tutorial, see A Free Matlab Online Tutorial or Another Tutorial
Course Material
Homework assignment:
Homework 01
Homework 02
Homework 03
Homework 04
Homework 05
Homework 06
Homework 07
Homework 08
Homework 09
Homework 10
Homework 11
Homework 12
Homework 13
Homework 14