@Article{JCM-7-234,
author = {Sun , Ling-Ping},
title = {A Globally Convergent Method of Constrained Minimization by Solving Subproblems of the Conic Model},
journal = {Journal of Computational Mathematics},
year = {1989},
volume = {7},
number = {3},
pages = {234--243},
abstract = {<p style="text-align: justify;">A new method for nonlinearly constrained optimization problems is proposed. The method consists of two steps. In the first step, we get a search direction by the linearly constrained subproblems based on conic functions. In the second step, we use a differentiable penalty function, and regard it as the metric function of the problem. From this, a new approximate solution is obtained. The global convergence of the given method is also proved.</p>},
issn = {1991-7139},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jcm/9474.html}
}