Optimal control applications

Related lectures (32)

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Covers the formulation of optimization programs for minimizing piecewise linear cost functions.

Covers advanced optimization techniques using Lagrange multipliers to find extrema of functions subject to constraints.

Covers the concept of equivalent formulation in constrained optimization and explores the tangent cone.

Covers single inequality or equality constraints and necessary optimality conditions in optimization problems.

Covers the modelling and optimization of energy systems, focusing on solving optimization problems with constraints and variables.

Covers the Lagrange Multipliers Theorem and its applications in finding extrema.

Explores dynamic programming with the Steinitz sequence to optimize solutions efficiently.

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

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

Covers the theory and applications of optimization with constraints, including key concepts and numerical methods.