Numerical methods : simulations - 4PMBNM36

• 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.
• Linear system resolution (directs and iteratives methods). Lecture/tutorial: 1H30 - Lab session: 2H30.
• Numerical integration: Newton-cotes - Gauss. Polynomial interpolation. Lecture/tutorial: 1H30 - Lab sessions: 6H30.
• Finite elements method. Lecture/tutorial: 3H00 - Lab sessions: 13H00.

Basic programming knowledge

Semester 7 - The exam is given in english only 

In person!
NORMAL SESSION:
DS theory + practice

Catch-up evaluation:
DS theory + practice
Duration: 4 hours
Documents allowed: all

CATCH-UP SESSION:
theoretical + practical DS
Duration: 4 hours
Documents allowed: all

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In distance learning!
*NORMAL SESSION: *
DS theory + practice

Catch-up evaluation:
DS theory + practice
Duration: 4 hours
Documents allowed: all

CATCH-UP SESSION:
theoretical + practical DS
Duration: 4 hours
Documents allowed: all

session 1 condition normale : note de l'examen.

session 2 condition normale : note de l'examen.

session 1 condition confinement :

session 2 condition confinement :

Semester 7 - This course is given in english only 

• 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