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Supermemory descent methods for unconstrained minimization

✍ Scribed by M. A. Wolfe; C. Viazminsky


Publisher
Springer
Year
1976
Tongue
English
Weight
644 KB
Volume
18
Category
Article
ISSN
0022-3239

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A very simple gradient only algorithm for unconstrained minimization is proposed that, in terms of storage requirement and computational efficiency, may be considered as an alternative to the conjugate gradient line search methods for large problems. The method effectively applies the steepest desce