Informations générales
Number of hours
- Lectures 2.25
- Projects 0
- Tutorials 2.25
- Internship 0
- Laboratory works 23.5
- Written tests 0
ECTSECTS
0.0
Goal(s)
Learn the most important numerical methods to solve ordinary differential equation and partial derivative equations in order to model physical phenomenon. Part 1: Runge Kutta methods and finite difference method.
Contact David JAUFFRESContent(s)
-Course presentation - An introduction to modelling. Learn basic programming with Matlab®. Lab sessions: 8H00.
-Resolution of ordinary differential equations. Runge-Kutta methods. Lecture/tutorial: 1H30 - Lab sessions: 6H30.
-Finite differences method: implicit / explicit scheme. Lecture/tutorial: 3H00 - Lab sessions: 9H00.
Prerequisites
Basic programming knowledge
Test
Semester 7 - The exam is given in english only 
Additional Information
Semester 7 - This course is given in english only 
Bibliography
William Bober, Chi-Tay Tsai, Oren Masory : "Numerical and analytical methods with MATLAB"
J. Rappaz, M. Picasso : "Introduction à l’analyse numérique"
P. LASCAUX & R. THEODOR : "Analyse numérique appliquée à l'art de l'ingénieur", Edition Masson, 2 tomes
G. DHATT & G. TOUZOT : "Une présentation de la méthode des éléments finis", Edition Maloine S.A., 2ème édition 1984
B. LUCQUIN & O. PIRONNEAU : "Introduction au calcul scientifique", Edition Masson, 1996