@Article{JCM-13-20, author = {Zhu , De-Tong}, title = {A Nonmonotonic Trust Region Technique for Nonlinear Constrained Optimization}, journal = {Journal of Computational Mathematics}, year = {1995}, volume = {13}, number = {1}, pages = {20--31}, abstract = {

In this paper, a nonmonotonic trust region method for optimization problems with equality constraints is proposed by introducing a nonsmooth merit function and adopting a correction step. It is proved that all accumulation points of the iterates generated by the proposed algorithm are Kuhn-Tucker points and that the algorithm is $q$-superlinearly convergent.

}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/9248.html} }