Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Lagrangian Duality: Theory and Applications

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (41)

Convex Optimization: Dual Cones Log in to Mediaspace to watch this video

Explores dual cones, generalized inequalities, SDP duality, and KKT conditions in convex optimization.

Convex Optimization: Self-dual Cones Log in to Mediaspace to watch this video

Explores self-dual cones in convex optimization and their applications in various optimization problems.

Linear Optimization: Finding Initial BFS Log in to Mediaspace to watch this video

Explains the process of finding an initial Basic Feasible Solution for linear optimization problems using the Simplex Algorithm.

KKT for convex problems and Slater's CQ Log in to Mediaspace to watch this video

Covers the KKT conditions and Slater's condition in convex optimization problems.

Optimal Decision Analysis Log in to Mediaspace to watch this video

Explores strong duality, complementary slackness, economic interpretation, and stochastic problem scenarios in linear programming.

KKT and Convex Optimization Log in to Mediaspace to watch this video

Covers the KKT conditions and convex optimization, discussing constraint qualifications and tangent cones of convex sets.

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.

Support Vector Regression: Recap and Convex Optimization Log in to Mediaspace to watch this video

Covers the recap of Support Vector Regression with a focus on convex optimization and its equivalence to Gaussian Process Regression.

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.

Convex Optimization: Duality and KKT Conditions Log in to Mediaspace to watch this video

Explores convex optimization duality, KKT conditions, and financial arbitrage detection.

Weak and Strong Duality Log in to Mediaspace to watch this video

Covers weak and strong duality in optimization problems, focusing on Lagrange multipliers and KKT conditions.

Distributionally Robust Portfolio Optimization Log in to Mediaspace to watch this video

Explores distributionally robust portfolio optimization and compares different estimation approaches and methods for portfolio evaluation.

Learning the Kernel Solution: MGT-418 Tutorial Log in to Mediaspace to watch this video

Explores learning the kernel solution in convex optimization, focusing on predicting outputs using a linear classifier and addressing possible numerical issues.

Introduction to Optimization Log in to Mediaspace to watch this video

Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.

Learning the Kernel: Convex Optimization Log in to Mediaspace to watch this video

Explores learning the kernel function in convex optimization, focusing on predicting outputs using a linear classifier and selecting optimal kernel functions through cross-validation.

New Compilation Techniques for Reconfigurable Analog Devices Log in to Mediaspace to watch this video

Explores new compilation techniques for reconfigurable analog devices, focusing on differential-equation solving and dynamical systems.

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.

Gradient Descent Method Log in to Mediaspace to watch this video

Covers the Gradient Descent method, smoothness in functions, and proofs related to convexity.

Untitled Log in to Mediaspace to watch this video

Newton's Method: Optimization Techniques Log in to Mediaspace to watch this video

Explores optimization techniques like gradient descent, line search, and Newton's method for efficient problem-solving.

Page 2 of 3