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https://doi.org/10.1016/S0377-0427(02)00420-X
Title: | Global convergence of nonmonotone descent methods for unconstrained optimization problems | Authors: | Sun, W. Han, J. Sun, J. |
Keywords: | Global convergence Nonmonotone line search Unconstrained optimization |
Issue Date: | 2002 | Citation: | Sun, W., Han, J., Sun, J. (2002). Global convergence of nonmonotone descent methods for unconstrained optimization problems. Journal of Computational and Applied Mathematics 146 (1) : 89-98. ScholarBank@NUS Repository. https://doi.org/10.1016/S0377-0427(02)00420-X | Abstract: | Global convergence results are established for unconstrained optimization algorithms that utilize a nonmonotone line search procedure. This procedure allows the user to specify a flexible forcing function and includes the nonmonotone Armijo rule, the nonmonotone Goldstein rule, and the nonmonotone Wolfe rule as special cases. © 2002 Elsevier Science B.V. All rights reserved. | Source Title: | Journal of Computational and Applied Mathematics | URI: | http://scholarbank.nus.edu.sg/handle/10635/43973 | ISSN: | 03770427 | DOI: | 10.1016/S0377-0427(02)00420-X |
Appears in Collections: | Staff Publications |
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