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Related lectures (30)
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Simplex Algorithm: Exercises & Interpretation
Covers exercises on the Simplex Algorithm, optimizing solutions subject to linear constraints.
Linear constraints, Degeneracy
Covers linear constraints and degeneracy in polyhedrons, focusing on basic solutions and degenerate cases.
Convex Polyhedra and Linear Programs
Explores convex polyhedra, linear programs, and their optimization importance.
Approximation Algorithms
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Optimization with Constraints: KKT Conditions
Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.
Hedging for LPs
Covers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.
Two-phase Simplex Algorithm: Introduction and Duality
Introduces the two-phase simplex algorithm and explores duality in linear programming.
Cutset Formulation: MST Problem
Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.
Linear Optimization: Finding Initial BFS
Explains the process of finding an initial Basic Feasible Solution for linear optimization problems using the Simplex Algorithm.
Introduction to Optimization
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.