Numerical analysis
Summary
The students will learn key numerical techniques for solving standard mathematical problems in science and engineering. The underlying mathematical theory and properties are discussed.
Content
The topics covered include:
- Linear and non-linear systems of equations
- Finding roots and fixed points
- Polynomial interpolation
- Solving linear and non-linear equations
- Gradient-based methods for solving linear and eigenproblems
- Numerical integration and differentiation
- Basic numerical techniques for solving differential equations
Assessment methods
Written
Resources
Bibliography
- Tobin A. Driscoll, Richard J. Braun *Fundamentals of Numerical Computation*, SIAM (2022). Web version: https://tobydriscoll.net/fnc-julia/
- MIT's Introduction to computational thinking: https://computationalthinking.mit.edu/
Ressources en bibliothèque
Websites
Moodle Link
In the programs
- Semester: Spring
- Exam form: Written (summer session)
- Subject examined: Numerical analysis
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: mandatory
- Semester: Spring
- Exam form: Written (summer session)
- Subject examined: Numerical analysis
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: mandatory
- Semester: Spring
- Exam form: Written (summer session)
- Subject examined: Numerical analysis
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: mandatory
- Semester: Spring
- Exam form: Written (summer session)
- Subject examined: Numerical analysis
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
Reference week
Mo | Tu | We | Th | Fr | |
8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
12-13 | |||||
13-14 | |||||
14-15 | |||||
15-16 | |||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Légendes:
Lecture
Exercise, TP
Project, labs, other