Optimal Decision Making: Exercises & Solutions

Related lectures (32)

Page 3 of 4

Explores solving strategies for energy system optimization problems and different types of optimization approaches.

Covers exercises related to linear programming, focusing on solving optimization problems.

Introduces the Simplex algorithm for solving flow problems and handling negative cost cycles.

Explores optimization in energy systems, focusing on decision-making through objective functions and constraints to determine system states.

Covers deriving basic linear program representation, finding solutions, and exploring optimality.

Covers the process of solving Linear Programs (LPs) using the simplex method.

Explores the simplex algorithm and how optimal solutions can be found on vertices of constraint polyhedra.

Covers linear programming for project scheduling to minimize completion time.

Explores modeling classic optimization problems as mixed integer linear problems, focusing on the knapsack problem and its applications.

Explores linear programming optimization with constraints, Dijkstra's algorithm, and LP formulations for finding feasible solutions.