Informations générales
Number of hours
- Lectures 14.0
- Projects -
- Tutorials 8.0
- Internship -
- Laboratory works 8.0
ECTSECTS
2.5
Goal(s)
Mathematical formulation and analysis of an optimisation problem. Identify the class of problems to which it belongs. Identify and implement an efficient algorithm to solve the problem numerically.
Responsible(s)
Content(s)
Differential calculus in euclidean space, fondamental results in diffential optimization, convexity, equality/inequatily constraints, linear programming and simplex algorithm.
Test
ET1 = 1 exam of 2h
ET2 = 1 exam of 2h
Calendar
The course exists in the following branches:
- Curriculum - Master's Degree in Engineering ASI - Semester 6
- Curriculum - - Semester 6
Additional Information
Course ID : 3EU6OPT6
Course language(s): 
You can find this course among all other courses.
Bibliography
Analyse numérique et optimisation, Grégoire Allaire, Editions de l'école polytechnique, 2012