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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rivaie, M. Fauzi, M. Mamat, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Mathematics, Faculty of Science and Technology, Universiti Malaysia Terengganu (UMT) Malaysia (Mamat, M.) || Department of Computer Sciences and Mathematics, Universiti Teknologi MARA (UiTM) Terengganu, Campus Kuala Terengganu, Malaysia (Rivaie, M.; Fauzi, M.) |
| Abstract | Conjugate gradient (CG) methods have played an important role in solving unconstrained optimization due to its simplicity and global convergence properties. In this paper, two new modifications of conjugate gradient coefficient (βk) with global convergence properties are presented. The global convergence result is established using exact line searches. Comparisons are made between six others well known CG coefficient. Preliminary result by performance profile shows that the proposed formula is competitive when compared to the other CG coefficients |
| Starting Page | 625 |
| Ending Page | 629 |
| File Size | 150987 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467313117 |
| e-ISBN | 9781467313100 |
| DOI | 10.1109/SHUSER.2012.6268897 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-24 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Conjugate gradient method Gradient methods Global convergence properties Conjugate gradient coefficient Minimization Approximation algorithms Exact line search Sun Convergence |
| Content Type | Text |
| Resource Type | Article |
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