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 Optimization: Active Constraints
Graph Chatbot
Related lectures (32)
Introduction to Optimization and Operations Research
Log in to Mediaspace to watch this video
Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.
Optimization Problems: Standard Form
Log in to Mediaspace to watch this video
Explores optimization problems in standard form, convex optimization, and optimality criteria.
Linear Programming Duality
Log in to Mediaspace to watch this video
Explores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.
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.
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 Principles
Log in to Mediaspace to watch this video
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
ALM with Inequalities: Next Steps in Optimization
Log in to Mediaspace to watch this video
Explores the Augmented Lagrangian Method with equality and inequality constraints in optimization, emphasizing the importance of slack variables.
Lagrangian Duality: Convex Optimization
Log in to Mediaspace to watch this video
Explores Lagrangian duality in convex optimization, transforming problems into min-max formulations and discussing the significance of dual solutions.
Optimal Decision Making: Exercises and Applications
Log in to Mediaspace to watch this video
Covers exercises on optimal decision making, including minimizing costs and optimizing transportation networks.
Convex Optimization: Exercises
Log in to Mediaspace to watch this video
Covers exercises on convex optimization, focusing on formulating and solving optimization problems using YALMIP and solvers like GUROBI and MOSEK.
Projected Gradient Descent
Log in to Mediaspace to watch this video
Explores convex constrained optimization through Projected Gradient Descent, focusing on tangent space and iterative minimization.
Linear Programming: Convex Hull
Log in to Mediaspace to watch this video
Covers MAE regression, convex hull, reformulation advantages, and practical problems with decision variables and constraints.
Previous
Page 2 of 2
Next