Lectures related to Initial BFS

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Covers semi-definite programming and optimization over positive semidefinite cones.

Linear Programming: Weighted Bipartite Matching

Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.

Optimization with Constraints: KKT Conditions

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

Linear Programming: Optimization and Constraints

Introduces linear programming, emphasizing optimization with constraints and practical examples.

Solving Linear Programs: SIMPLEX Method

Explains the SIMPLEX method for solving linear programs and optimizing the solution through basis variable manipulation.

Optimal Decision Making: Exercises & Solutions

Covers exercises and solutions in translating text problems into linear programming and optimizing decision-making processes.

Dynamic Programming: Steinitz Sequence

Explores dynamic programming with the Steinitz sequence to optimize solutions efficiently.

Dual Translations in Linear Programming

Explores dual translations in linear programming, emphasizing primal and dual formulations and the significance of invertible submatrices.

Initial BFS: Finding Solutions

Covers the concept of finding an initial BFS and solving related optimization problems.

Optimization Problems: Path Finding and Portfolio Allocation

Covers optimization problems in path finding and portfolio allocation.

Energy Systems Modeling and Optimization

Explores energy system modeling, optimization, infrastructure development, and technology assessment for long-term energy planning.

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.

Energy System Modeling: Optimization and Performance Indicators

Explores energy system modeling using optimization techniques and performance indicators.

Optimization with Constraints: KKT Conditions

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.

Optimisation Problem: Solving by FM

Covers the modelling and optimization of energy systems, focusing on solving optimization problems with constraints and variables.

Linear Programming Exercise

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

Cutset Formulation: MST Problem

Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.

Discrete optimization: Knapsack

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

Simplex Algorithm: Exercises & Interpretation

Covers exercises on the Simplex Algorithm, optimizing solutions subject to linear constraints.