LP Duality: An Economics Perspective

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Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Discusses algorithms for balancing exploration and exploitation in decision-making processes.

Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.

Explores dynamic programming for optimizing decision-making processes over time, using real-world examples like oil extraction and stock trading.

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

Explores game theory, decision-making in interdependent environments, equilibrium concepts, and economic applications in management.

Covers potential games, their properties, and the convergence of best-response dynamics to Nash equilibria.

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Covers the basics of static games and introduces key game theory concepts, including the Prisoner's Dilemma and Nash Equilibrium.