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Related lectures (31)

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Explores harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.

Explores stationary points and the Lagrange multiplier theorem for function optimization.

Explores finding extrema of functions over compact sets and edge parametrization.

Explores the Fubini theorem on closed rectangles in R², discussing integrability, iterated integrals, and compact sets.

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.

Explores optimization with inequality constraints, emphasizing finding extreme values and stationary points.

Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.

Covers a review of double integrals, emphasizing compact domains and linearity.

Introduces constraints, Lagrange multipliers, and generalized coordinates in physics.