Lectures related to Extreme Values and Constraints

Covers the formulation of optimization programs for minimizing piecewise linear cost functions.

Covers exercises on convex optimization, focusing on formulating and solving optimization problems using YALMIP and solvers like GUROBI and MOSEK.

Explores the Extra-Gradient method for Primal-dual optimization, covering nonconvex-concave problems, convergence rates, and practical performance.

Covers the fundamentals of calculus, focusing on derivatives and integrals.

Explains the integration of Taylor series for CnR class functions.

Covers the KKT conditions for optimization with constraints, detailing their application and significance in solving constrained problems.

Covers the calculation of minimum points and the concept of definite integrals.