Covers the Hedge algorithm for minimizing loss in linear programming problems.
Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
Introduces linear programming basics, including optimization problems, cost functions, simplex algorithm, geometry of linear programs, extreme points, and degeneracy.
Explores finding the initial Basic Feasible Solution (BFS) in a linear program.
Covers MAE regression, convex hull, reformulation advantages, and practical problems with decision variables and constraints.
