Linear Constraints: Elimination of Variables

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (29)

Page 1 of 3

Optimization with Constraints: KKT Conditions

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

Optimization Methods: Theory Discussion

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

Lagrange Multipliers Theorem

Explores the Lagrange Multipliers Theorem, covering extrema conditions and geometric interpretations.

Linear Programming: Weighted Bipartite Matching

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

Linear Optimization: Directional Derivatives

Explores directional derivatives in linear optimization for function optimization along specific directions.

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

Introduces linear programming basics, including optimization problems, cost functions, simplex algorithm, geometry of linear programs, extreme points, and degeneracy.

Linear Optimization: Directional Derivatives

Explores directional derivatives in linear optimization and their impact on objective functions.

Extremum of a Function: Constraints

Explores extremum of a function under constraints and finding candidate points in practice.

Two-phase Simplex Algorithm: Introduction and Duality

Introduces the two-phase simplex algorithm and explores duality in linear programming.