This lecture covers unconstrained and constrained optimization, optimal control, neural networks, and global optimization methods. It discusses the reformulation of problems and the search for global minima using various techniques.
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The student will learn state-of-the-art algorithms for solving differential equations. The analysis and implementation of these algorithms will be discussed in some detail.
