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Related lectures (33)

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.

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.

Agency Theory: Incentives and Contracts Log in to Mediaspace to watch this video

Explores incentive compatibility, optimal contracts, and agency costs in aligning principal-agent interests.

Semi-Definite Programming Log in to Mediaspace to watch this video

Covers semi-definite programming and optimization over positive semidefinite cones.

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.

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.

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.

Convex Optimization Log in to Mediaspace to watch this video

Introduces convex optimization, focusing on the importance of convexity in algorithms and optimization problems.

Dynamic Programming: Fibonacci Numbers Log in to Mediaspace to watch this video

Covers dynamic programming with a focus on Fibonacci numbers and efficient calculation algorithms.

Simplex Method: Basics and Applications Log in to Mediaspace to watch this video

Covers the basics of the Simplex method and its application in solving 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.

K-means Algorithm Log in to Mediaspace to watch this video

Covers the K-means algorithm for clustering data samples into k classes without labels, aiming to minimize the loss function.

Multi-Agent Systems: Traffic Management and Pricing Strategies Log in to Mediaspace to watch this video

Covers multi-agent systems in traffic management and dynamic pricing strategies using game theory.

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