New adaptive conjugate gradient methods choices for unconstrained optimization
In this paper, we present two conjugate gradient methods choices for solving unconstrained optimization problems. This attempts is to find suitable choices for parameter of a nonlinear conjugate gradient method proposed by Dai and Liao based on the matrix analysis and using the memoryless BFGS updat...
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| Format: | Article |
| Language: | English |
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BİSKA Bilisim Company
2018-12-01
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| Series: | New Trends in Mathematical Sciences |
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| Online Access: | https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=8488 |