Optimal Decision Making: Integer Programming

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.

Branch and Bound: Heuristic Maximization

Explains the Branch and Bound algorithm for heuristic maximization problems using LP relaxations and pruning techniques.

Linear Programming: Extreme Points

Explores extreme points in linear programming and the role of constraints in finding optimal solutions.

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Branch & Bound Algorithm: LP Based Approach

Explores the LP-based Branch & Bound algorithm for finding optimal solutions.

Linear Optimization Techniques: Problem Solving Approaches

Provides an overview of linear optimization techniques, focusing on problem-solving methods and the importance of constraints and objective functions.

Convex Optimization Problems: Theory and Applications

Explores convex optimization problems, optimality criteria, equivalent problems, and practical applications in transportation and robotics.

Introduction to Optimization

Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.

Optimisation in Energy Systems

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.

Linear Programming Basics

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