A generalized gradient projection method for optimization problems with equality and inequality constraints about arbitrary initial point

1996 ◽  
Vol 12 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Ziyou Gao ◽  
Yanlian Lai ◽  
Zongying Hu

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Zhifeng Dai

Combining the Rosen gradient projection method with the two-term Polak-Ribière-Polyak (PRP) conjugate gradient method, we propose a two-term Polak-Ribière-Polyak (PRP) conjugate gradient projection method for solving linear equality constraints optimization problems. The proposed method possesses some attractive properties: (1) search direction generated by the proposed method is a feasible descent direction; consequently the generated iterates are feasible points; (2) the sequences of function are decreasing. Under some mild conditions, we show that it is globally convergent with Armijio-type line search. Preliminary numerical results show that the proposed method is promising.



1972 ◽  
Vol 10 (1) ◽  
pp. 93-98 ◽  
Author(s):  
G. P. McCormick ◽  
R. A. Tapia


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