An SQP-Type Method and Its Application in Stochastic Programs

2003 ◽  
Vol 116 (1) ◽  
pp. 205-228 ◽  
Author(s):  
Z. Wei ◽  
L. Qi ◽  
X. Chen
2018 ◽  
pp. 51-71
Author(s):  
Aleksey Aksenov ◽  
◽  
V. Chechetkin ◽  
Vladimir Tishkin ◽  
◽  
...  

2012 ◽  
Vol 220-223 ◽  
pp. 2585-2588
Author(s):  
Zhong Yong Hu ◽  
Fang Liang ◽  
Lian Zhong Li ◽  
Rui Chen

In this paper, we present a modified sixth order convergent Newton-type method for solving nonlinear equations. It is free from second derivatives, and requires three evaluations of the functions and two evaluations of derivatives per iteration. Hence the efficiency index of the presented method is 1.43097 which is better than that of classical Newton’s method 1.41421. Several results are given to illustrate the advantage and efficiency the algorithm.


2021 ◽  
Vol 95 ◽  
pp. 103319
Author(s):  
Zdeněk Dvořák ◽  
Carl Feghali
Keyword(s):  

Optimization ◽  
2021 ◽  
pp. 1-26
Author(s):  
Pedro Jorge S. Santos ◽  
Paulo Sérgio M. Santos ◽  
Susana Scheimberg

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