Optimisation methods 2023/24
Main information about the course
Course "Optimization methods" consists of several most important topics devoted to the theory of optimization and efficient optimization algorithms. During the course students will study
- theoretical part: necessary and sufficient optimality conditions in unconstrained and constrained optimization;
- practical part: zero, first and second order optimization algorithms, their implementation (for example, in Python) and testing.
The leading objective of the course is the following: students must be able to classify a given optimization problem and select an efficient alforithm for finding solution.
Teacher: Oleg Khamisov.
Assistants: Andrey Ignatov, Marco Krsmanovich.
Grading
Grade FG - Final grade, for the course is determined by the formula:
FG=0.7*(CT1+CT2+CT3)+0.3*FT,
where CT - Control Testing 1,2, and 3,
FT - Final Testing.
Numbers CT1, CT2, CT3, and FT are such that in the case of succesfull sulution of all testings final grading FT is equal to 10.