Titlebook: Numerical Methods and Optimization; Theory and Practice Jean-Pierre Corriou Textbook 2021 The Editor(s) (if applicable) and The Author(s),

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Numerical Methods of Optimization,riables occupy the main part, divided into methods of direct search and gradient methods. In the direct search, many methods are presented, simplex, Hooke and Jeeves, Powell, Rosenbrock, Nelder–Mead, Box complex, genetic algorithms with quasi-global optimization. Gradient methods are first explained

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Dynamic Optimization,matical point of view, the problem is solved based on variational calculus. First order Euler conditions are demonstrated, and second order Legendre–Clebsch are mentioned. The same problem is discussed using Hamilton–Jacobi framework. Then, dynamic optimization in continuous time is treated in the f

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978-3-030-89368-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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