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Alternative parameter choices for multi-step Quasi-Newton methods

โœ Scribed by Ford, J. A.; Moghrabi, I. A.

Book ID
111890963
Publisher
Taylor and Francis Group
Year
1993
Tongue
English
Weight
506 KB
Volume
2
Category
Article
ISSN
1055-6788

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๐Ÿ“œ SIMILAR VOLUMES

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We consider multi-step quasi-Newton methods for unconstrained optimization. These methods were introduced by the authors (Ford and Moghrabi [5,6,8]), who showed how an interpolating curve in the variable-space could be used to derive an appropriate generalization of the Secant Equation normally empl

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โœ Wenhuan Yu ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 179 KB

A quasi-Newton method QNM in infinite-dimensional spaces for estimating parameters involved in distributed parameter systems is presented in this paper. Next, the global convergence of a sequence generated by the algorithm QNM is also proved. We apply the algorithm QNM to an identification problem o