Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Linear Programming: Extreme Points
Graph Chatbot
Related lectures (37)
Linear Programming: Weighted Bipartite Matching
Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Hedging for LPs
Covers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.
Optimisation in Energy Systems
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Approximation Algorithms
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Discrete Optimization: Relaxation
MOOC: Optimization: principles and algorithms - Network and discrete optimization
Explores solving discrete optimization problems by relaxing integrality constraints.
Linear Programming Basics
Log in to Mediaspace to watch this video
Covers the basics of linear programming, defining corners, extreme points, and feasible solutions within polyhedrons.
Optimal Decision Making: Sensitivity Analysis
Log in to Mediaspace to watch this video
Covers sensitivity analysis in linear programming, focusing on optimal solutions and their sensitivities to changes.
Linear Programming: Optimization and Constraints
Log in to Mediaspace to watch this video
Explores linear programming optimization with constraints, Dijkstra's algorithm, and LP formulations for finding feasible solutions.
Cutset Formulation: MST Problem
Log in to Mediaspace to watch this video
Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.
Optimization Algorithms
Log in to Mediaspace to watch this video
Covers optimization algorithms, convergence properties, and time complexity of sequences and functions.
Linear Inequalities and Equivalent LP
Log in to Mediaspace to watch this video
Covers linear inequalities, active constraints, and equivalent linear programs.
Convex Polyhedra and Linear Programs
Log in to Mediaspace to watch this video
Explores convex polyhedra, linear programs, and their optimization importance.
Optimization Problems: Path Finding and Portfolio Allocation
Log in to Mediaspace to watch this video
Covers optimization problems in path finding and portfolio allocation.
Linear Algebra: Efficiency and Complexity
Log in to Mediaspace to watch this video
Explores constraints, efficiency, and complexity in linear algebra, emphasizing convexity and worst-case complexity in algorithm analysis.
Linear Programming Basics
Log in to Mediaspace to watch this video
Introduces linear programming basics, including optimization problems, cost functions, simplex algorithm, geometry of linear programs, extreme points, and degeneracy.
Branch and Bound: Heuristic Maximization
Log in to Mediaspace to watch this video
Explains the Branch and Bound algorithm for heuristic maximization problems using LP relaxations and pruning techniques.
Relations Between Events
Log in to Mediaspace to watch this video
Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
Two-phase Simplex Algorithm: Introduction and Duality
Log in to Mediaspace to watch this video
Introduces the two-phase simplex algorithm and explores duality in linear programming.
Simplex Algorithm: Basics
Log in to Mediaspace to watch this video
Introduces the Simplex algorithm for solving flow problems and handling negative cost cycles.
Previous
Page 1 of 2
Next