Media Summary: Manifold suboptimization method, Simplex method. Projection theorem, conditional gradient method, gradient projection method. Convexity of dual problem, geometric interpretation of weak duality theorem, dual of

Ece 5759 Nonlinear Programming Lec 12 - Detailed Analysis & Overview

Manifold suboptimization method, Simplex method. Projection theorem, conditional gradient method, gradient projection method. Convexity of dual problem, geometric interpretation of weak duality theorem, dual of Nesterov's accelerated gradient method and Polyak heavy ball method. Application of contraction mapping principle to establish convergence of Lagrangian methods. Pontryagin Maximum principle for discrete time optimal control.

Mirror descent algorithm, Proximal gradient algorithm. Second derivative of the function, Mean value theorem, Taylor series expansion, matrices, eigenvalues, symmetric matrices, ... Pontryagin minimum principle, Bellman's principle of optimality, Dynamic Weak duality theorem. See for weak duality theorem. Euclidean Space, Norms, Inner Product, Sequences, Convergence, Continuous function, differentiation of functions of multiple ...

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ECE 5759: Nonlinear Programming Lec 12
ECE 5759: Nonlinear Programming Lec 12
ECE 5759: Nonlinear Optimization Lec 12
ECE 5759: Nonlinear Optimization, Lec 12
ECE 5759: Nonlinear Programming Lec 26
ECE 5759: Nonlinear Programming Lec 10
ECE 5759: Nonlinear Programming, Lec 26
ECE 5759: Nonlinear Programming Lec 27
ECE 5759: Nonlinear Programming Lec 24
ECE 5759: Nonlinear Programming Lec 15
ECE 5759: Nonlinear Programming Lec 16
ECE 5759: Nonlinear Programming Lec 28
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