This lecture covers the Newton method, focusing on its convergence properties when the solution is close to the optimal point. It also discusses the quadratic care and the importance of Lipschitz continuity in the convergence process.
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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.
