Abstract
The methods in this chapter, less “universal” than the preceding, are useful in a good number of cases. The first one (trust-region) is actually extremely important, and might supersede line-searches, sooner or later. The other methods deal with the direction; they are either classical (Gauss-Newton) or recent (limited-memory quasi-Newton, truncated Newton) and apply only in some well-defined subclasses of problems.
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© 2003 Springer-Verlag Berlin Heidelberg
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Bonnans, J.F., Gilbert, J.C., Lemaréchal, C., Sagastizábal, C.A. (2003). Special Methods. In: Numerical Optimization. Universitext. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05078-1_6
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DOI: https://doi.org/10.1007/978-3-662-05078-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00191-1
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