scholarly journals Research on trust-region algorithms for nonlinear programming. Progress report, January 1, 1991--December 31, 1991

1991 ◽  
Author(s):  
J.E. Dennis ◽  
R.A. Tapia
Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1551
Author(s):  
Bothina El-Sobky ◽  
Yousria Abo-Elnaga ◽  
Abd Allah A. Mousa ◽  
Mohamed A. El-Shorbagy

In this paper, a penalty method is used together with a barrier method to transform a constrained nonlinear programming problem into an unconstrained nonlinear programming problem. In the proposed approach, Newton’s method is applied to the barrier Karush–Kuhn–Tucker conditions. To ensure global convergence from any starting point, a trust-region globalization strategy is used. A global convergence theory of the penalty–barrier trust-region (PBTR) algorithm is studied under four standard assumptions. The PBTR has new features; it is simpler, has rapid convergerce, and is easy to implement. Numerical simulation was performed on some benchmark problems. The proposed algorithm was implemented to find the optimal design of a canal section for minimum water loss for a triangle cross-section application. The results are promising when compared with well-known algorithms.


2013 ◽  
Vol 220 ◽  
pp. 324-330 ◽  
Author(s):  
P.D. Conejo ◽  
E.W. Karas ◽  
L.G. Pedroso ◽  
A.A. Ribeiro ◽  
M. Sachine

1995 ◽  
Vol 9 (1) ◽  
pp. 171-179 ◽  
Author(s):  
H. -P. Helfrich ◽  
D. Zwick

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