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Linear Programming Basics
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Related lectures (45)
Linear Programming: Weighted Bipartite Matching
Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.
Linear Constraints: Basic Solutions
MOOC: Optimization: principles and algorithms - Linear optimization
Explores basic solutions in linear constraints and the equivalence with vertices.
Linear Constraints: Polyhedron
MOOC: Optimization: principles and algorithms - Linear optimization
Explains linear constraints and the concept of a polyhedron in optimization problems.
Linear Algebra: Identical Applications
Explores identical applications in linear algebra, discussing their representation and implications through examples and equation solving.
Optimization: Classical Problems
Covers classical optimization problems, brute force algorithms, and integer linear optimization.
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Deformable Bodies: Stress Tensors and Divergence Theorem
Explores stress tensors and the divergence theorem in deformable bodies through examples and demonstrations.
The transhipment problem: Total unimodularity
MOOC: Optimization: principles and algorithms - Network and discrete optimization
Covers the transhipment problem, optimal solutions, and total unimodularity in matrices.
Linear Programming: Extreme Points
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Explores extreme points in linear programming and the role of constraints in finding optimal solutions.
Optimization Problems: Path Finding and Portfolio Allocation
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Covers optimization problems in path finding and portfolio allocation.
Linear Algebra: Efficiency and Complexity
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Explores constraints, efficiency, and complexity in linear algebra, emphasizing convexity and worst-case complexity in algorithm analysis.
Convex Polyhedra and Linear Programs
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Explores convex polyhedra, linear programs, and their optimization importance.
Linear Inequalities and Equivalent LP
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Covers linear inequalities, active constraints, and equivalent linear programs.
Solving Linear Programs: SIMPLEX Method
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Explains the SIMPLEX method for solving linear programs and optimizing the solution through basis variable manipulation.
Linear Optimization: Fundamentals
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Covers the basics of linear optimization, including equations, polyhedrons, feasible directions, and optimal solutions.
Linear Programming Duality
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Explores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.
Linear Programming Basics
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Covers the basics of linear programming and the simplex method, focusing on finding optimal solutions and handling degeneracy.
Linear Programming Basics
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Introduces linear programming basics, including optimization problems, cost functions, simplex algorithm, geometry of linear programs, extreme points, and degeneracy.
Equilibrium in 3D: System Isolation and Constraints
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Covers the equilibrium conditions in 3D, system isolation, free-body diagrams, and constraints.
Optimal Decision Making: Sensitivity Analysis
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Covers sensitivity analysis in linear programming, focusing on optimal solutions and their sensitivities to changes.
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