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|Title:||Global convergence of nonmonotone descent methods for unconstrained optimization problems|
Nonmonotone line search
|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|
|Appears in Collections:||Staff Publications|
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