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来源类型Article
规范类型其他
DOI10.1007/BF01589113
Some numerical experiments with variable-storage quasi-Newton algorithms.
Gilbert J-C; Lemarechal C
发表日期1989
出处Mathematical Programming 45 (1-3): 407-435
出版年1989
语种英语
摘要This paper describes some numerical experiments with variable-storage quasi-Newton methods for the optimization of some large-scale models (coming from fluid mechanics and molecular biology). In addition to assessing these kinds of methods in real-life situations, we compare an algorithm of A. Buckley with a proposal by J. Nocedal. The latter seems generally superior, provided that careful attention is given to some nontrivial implementation aspects, which concern the general question of properly initializing a quasi-Newton matrix. In this context, we find it appropriate to use a diagonal matrix, generated by an update of the identity matrix, so as to fit the Rayleigh ellipsoid of the local Hessian in the direction of the change in the gradient. Also, a variational derivation of some rank one and rank two updates in Hilbert spaces is given
主题System and Decision Sciences - Core (SDS)
关键词Conjugate gradient diagonal updates Hilbert spaces large-scale problems limited memory numerical experiments unconstrained optimization variable-metric algorithms variablestorage
URLhttp://pure.iiasa.ac.at/id/eprint/12798/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127061
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GB/T 7714
Gilbert J-C,Lemarechal C. Some numerical experiments with variable-storage quasi-Newton algorithms.. 1989.
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