Course Outline (see the
Syllabus 2021
link on the right)
The course covers the fundamentals of continuous optimization in
Euclidean spaces, i.e.,
the problem of minimizing (or maximizing) a given continuous function of
finitely many real variables, subject to constraints described as
equations and inequalities involving
other continuous functions. We emphasize the roles of:
theory, algorithmic development, applications, and implementation
.