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A feasible directions method for computing Bayes E-optimal block designs

โœ Scribed by B. Simeone; I. Verdinelli


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
912 KB
Volume
7
Category
Article
ISSN
0167-9473

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๐Ÿ“œ SIMILAR VOLUMES


A generalized super-memory gradient proj
โœ Jin-Bao Jian; You-Fang Zeng; Chun-Ming Tang ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 362 KB

In this work, combining the properties of the generalized super-memory gradient projection methods with the ideas of the strongly sub-feasible directions methods, we present a new algorithm with strong convergence for nonlinear inequality constrained optimization. At each iteration, the proposed alg