|Study programme 2021-2022||Français|
|Code||Lecturer(s)||Associate Lecturer(s)||Subsitute Lecturer(s) et other(s)||Establishment|
Content of Learning Activity
The objective of this course is to provide students with the basic tools to address and solve nonlinear optimization problems.
The course will be divided into two main parts: modelization and methods
The first part aims to teach students to determine the type of optimization problems (linear, quadratic, convex, etc.) and to characterize optimal solutions in the more general context of problems with equality and inequality constraints.
In the second part, the most widespread numerical methods will be introduced.
Attendance at theory/exercises classes of at least 80% is required. Participation at practical sessions and seminars is still mandatory.
The evaluation methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Attendance at practical sessions and seminars is still mandatory.
Required Learning Resources/Tools
Recommended Learning Resources/Tools
Other Recommended Reading
Mode of delivery
Type of Teaching Activity/Activities
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)