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Lecture
Integer Programming Basics
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Related lectures (32)
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Linear Programming: Weighted Bipartite Matching
Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.
Simplex Algorithm: Tableau
Covers the main idea behind the Simplex algorithm and explains the Tableau method for solving linear programming problems.
Linear Programming: Solving LPs
Covers the process of solving Linear Programs (LPs) using the simplex method.
Local Sensitivity Analysis: Feasibility and Optimality
Explores local sensitivity analysis in linear programming, examining how changes impact optimality and feasibility.
Linear Programming Basics
Covers the basics of linear programming and the simplex method, focusing on finding optimal solutions and handling degeneracy.
Optimization and Templates
Explores optimization in C++ code, algorithmic ideas, code profiling, and template meta-programming.
Linear Programming Basics
Explores linear programming basics, including basic solutions, feasible solutions, optimal solutions, and challenges in solving integer programming problems.
Solving Linear Programs: SIMPLEX Method
Explains the SIMPLEX method for solving linear programs and optimizing the solution through basis variable manipulation.
Unweighted Bipartite Matching
Introduces unweighted bipartite matching and its solution using linear programming and the simplex method.
Network Flows and LP Formulations
Explains network flows, LP formulations, simplex method, duality, and practical applications.
