In this work some interesting relations between results on basic optimization and algorithms for nonconvex functions (such as BFGS and secant methods) are pointed out. In particular, some innovative tools for improving our recent secant BFGS-type and LQN algorithms are described in detail.
β¦ LIBER β¦
Low-complexity minimization algorithms
β Scribed by Carmine Di Fiore; Stefano Fanelli; Paolo Zellini
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 139 KB
- Volume
- 12
- Category
- Article
- ISSN
- 1070-5325
- DOI
- 10.1002/nla.449
No coin nor oath required. For personal study only.
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