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- W4249904672 abstract "This chapter reviews the classic methods for unconstrained optimization including the special case of nonlinear Least Squares. We start with the particular case of finding the roots of a nonlinear equation in one dimension, and then move to unconstrained optimization in one and n dimensions. We describe several techniques that can be applied in such cases, for instance Newton's method or Nelder–Mead direct search. The chapter concludes with the solution of systems of nonlinear equations. Throughout the chapter the focus is on practical and computational details that should help to implement and apply the methods. For many algorithms we give pseudocode that allows quick coding, for particular methods Matlab programs are provided together with a large set of practical illustrations." @default.
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- W4249904672 date "2019-01-01" @default.
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- W4249904672 title "Basic methods" @default.
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- W4249904672 doi "https://doi.org/10.1016/b978-0-12-815065-8.00023-6" @default.
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