scholarly journals A conjugate directions approach to improve the limited-memory BFGS method

2012 ◽  
Vol 219 (3) ◽  
pp. 800-809 ◽  
Author(s):  
J. Vlček ◽  
L. Lukšan
2014 ◽  
Vol 530-531 ◽  
pp. 367-371
Author(s):  
Ting Feng Li ◽  
Yu Ting Zhang ◽  
Sheng Hui Yan

In this paper, a modified limited memory BFGS method for solving large-scale unconstrained optimization problems is proposed. A remarkable feature of the proposed method is that it possesses a global convergence property even without convexity assumption on the objective function. The implementations of the algorithm on CUTE test problems are reported, which suggest that a slight improvement has been achieved.


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