Lectures related to Hedging for LPs

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

Explores proof concepts, techniques, and applications in logic, mathematics, and algorithms.

Covers Markov chains decomposition, LLN proof, Inventory Model application, and average costs.

Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.

Covers optimization problems in path finding and portfolio allocation.

Covers optimal transport and Kantorovich duality in real-life distribution problems.

Explores fundamental solutions in partial differential equations, highlighting their significance in mathematical applications.

Explores probability convergence, discussing conditions for random variable sequences to converge and the uniqueness of convergence.

Explores the evolution of the distribution function describing particles in phase space.