V0420000

Advanced Numerical Analysis 1
This lecture is positioned as a sequel of numerical analysis. In this lecture, we will learn about the Lagrange interpolation
and the spline interpolation, the least squares problem.
The purpose of this lecture is to understand the principles and algorithms of the interpolation methods and the least squares
problems and to master these numerical algorithms through the application to a real problem.
- be able to understand the basic concept and principle for each of the interpolation method and the least squares problems
- be able to understand the numerical properties of each algorithms through the programming exercise
- be able to understand the basics of error analysis
|
Class schedule |
HW assignments (Including preparation and review of the class.) |
Amount of Time Required |
1. |
The interpolation method |
Review of numerical analysis |
190minutes |
2. |
Lagrange interpolation |
Review of previous lecture and numerical method for linear systems |
190minutes |
3. |
Numerical error on the Lagrange interpolation and Runge's phenomenon |
Review of previous lecture |
190minutes |
4. |
Newton interpolation and its numerical error |
Review of previous lecture |
190minutes |
5. |
Computer exercise(1) |
Review of previous lecture and the C language |
190minutes |
6. |
Computer exercise(2) |
Review of previous lecture |
190minutes |
7. |
Spline interpolation (1) |
Review of previous lecture |
190minutes |
8. |
Spline interpolation (2) |
Review of previous lecture |
190minutes |
9. |
Computer exercise(3) |
Review of previous lecture |
190minutes |
10. |
Computer exercise(4) |
Review of previous lecture |
190minutes |
11. |
Eigenvalue Problem (1) |
Review of previous lecture |
190minutes |
12. |
Eigenvalue Problem (2) |
Review of previous lecture |
190minutes |
13. |
Eigenvalue Problem (3) |
Review of previous lecture |
190minutes |
14. |
Final exam and review |
Review of previous lecture |
190minutes |
Total. |
- |
- |
2660minutes |
Relationship between 'Goals and Objectives' and 'Course Outcomes'
|
Exam |
Report |
Total. |
1. |
25% |
|
25% |
2. |
|
50% |
50% |
3. |
25% |
|
25% |
Total. |
50% |
50% |
- |
Evaluation method and criteria
Report and final exam
Textbooks and reference materials
Textbook is not specified. We will introduce the reference books, if necessary.
Numerical Analysis, C language
Office hours and How to contact professors for questions
Relation to the environment
Non-environment-related course
Non-regionally-oriented course
Development of social and professional independence
- Course that cultivates an ability for utilizing knowledge
More than one class is interactive
Last modified : Wed Oct 17 07:33:27 JST 2018