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 and Integer Programming
Graph Chatbot
Related lectures (42)
Convex Optimization: Theory and Applications
Log in to Mediaspace to watch this video
Explores convex optimization theory, covering local and global minima, convex functions, and applications in various fields.
Convex Optimization: Epigraphs
Log in to Mediaspace to watch this video
Explores epigraphs, convexity of bivariate functions, and log-sum-exp functions in convex optimization.
KKT Conditions: Convex Optimization
Log in to Mediaspace to watch this video
Explores the KKT conditions in convex optimization, including dual cones, SDP duality, and convex hulls.
Lagrangian Duality: Theory and Applications
Log in to Mediaspace to watch this video
Explores Lagrangian duality in convex optimization, discussing strong duality, dual solutions, and practical applications in second-order cone programs.
Optimization Problems: Standard Form
Log in to Mediaspace to watch this video
Explores optimization problems in standard form, convex optimization, and optimality criteria.
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.
Cones of convex sets
Log in to Mediaspace to watch this video
Explores optimization on convex sets, including KKT points and tangent cones.
Convex Optimization Problems: Standard Form
Log in to Mediaspace to watch this video
Covers convex optimization problems, transformation to standard form, and optimality criteria for differentiable objectives.
Optimization Programs: Piecewise Linear Cost Functions
Log in to Mediaspace to watch this video
Covers the formulation of optimization programs for minimizing piecewise linear cost functions.
Linear Programming Basics
Log in to Mediaspace to watch this video
Covers deriving basic linear program representation, finding solutions, and exploring optimality.
Linear Programming: Solving LPs
Log in to Mediaspace to watch this video
Covers the process of solving Linear Programs (LPs) using the simplex method.
Dynamic Programming: Steinitz Sequence
Log in to Mediaspace to watch this video
Explores dynamic programming with the Steinitz sequence to optimize solutions efficiently.
Mixed-Integer Linear Programming: Formulations and Applications
Log in to Mediaspace to watch this video
Explores mixed-integer linear programming, binary variables, 0-1 knapsack, assignment problems, and LP relaxation strength.
Integer Programming Basics
Log in to Mediaspace to watch this video
Introduces the basics of integer programming, including binary integer programs and constraint strategies.
Dual Translations in Linear Programming
Log in to Mediaspace to watch this video
Explores dual translations in linear programming, emphasizing primal and dual formulations and the significance of invertible submatrices.
Convex Optimization: Gradient Descent
Log in to Mediaspace to watch this video
Explores VC dimension, gradient descent, convex sets, and Lipschitz functions in convex optimization.
Duality: Economic Interpretation
Log in to Mediaspace to watch this video
Explores duality in linear programming, strong duality, complementary slackness, and the economic interpretation of dual variables as prices.
Duality Theorems
Log in to Mediaspace to watch this video
Explores duality theorems in linear programming, emphasizing optimal solutions and degeneracies.
Convex Optimization: Sets and Functions
Log in to Mediaspace to watch this video
Introduces convex optimization through sets and functions, covering intersections, examples, operations, gradient, Hessian, and real-world applications.
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.
Previous
Page 2 of 3
Next