Electronic Resource
Springer
Journal of optimization theory and applications
79 (1993), S. 311-331
ISSN:
1573-2878
Keywords:
Unconstrained optimization
;
preconditioning
;
lower-or-der Newton methods
;
quasi-Newton methods
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract In this paper, low-order Newton methods are proposed that make use of previously obtained second-derivative information by suitable preconditioning. When applied to a particular 2-dimensional Newton method (the LS method), it is shown that a member of the Broyden family of quasi-Newton methods is obtained. Algorithms based on this preconditioned LS model are tested against some variations of the BFGS method and shown to be much superior in terms of number of iterations and function evaluations, but not so effective in terms of number of gradient evaluations.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00940583
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