A new conjugate gradient method for unconstrained optimization with sufficient descent
Conjugate gradient (CG) methods represent an important computational innovation in solving large-scaled unconstrained optimization problems. There are many different versions of CG methods. Although some methods are equivalent to each other, their performances are quite different. This paper present...
| Published in: | AIP Conference Proceedings |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
American Institute of Physics Inc.
2014
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904130994&doi=10.1063%2f1.4882534&partnerID=40&md5=e9682600e94a37ef6837c4d0d0fc454c |