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
Convex Relaxation: Negative Type Theorems
Graph Chatbot
Related lectures (47)
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.
Convex Optimization: Gradient Flow
Log in to Mediaspace to watch this video
Explores convex optimization, emphasizing the importance of minimizing functions within a convex set and the significance of continuous processes in studying convergence rates.
Optimization Techniques: Gradient Descent and Convex Functions
Log in to Mediaspace to watch this video
Provides an overview of optimization techniques, focusing on gradient descent and properties of convex functions in machine learning.
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.
Introduction to Optimization
Log in to Mediaspace to watch this video
Introduces linear algebra, calculus, and optimization basics in Euclidean spaces, emphasizing the power of optimization as a modeling tool.
Integer Programming Basics
Log in to Mediaspace to watch this video
Introduces the basics of integer programming, including binary integer programs and constraint strategies.
Optimization Principles
Log in to Mediaspace to watch this video
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Previous
Page 3 of 3
Next