An interior-point method for nonlinear optimization problems with locatable and separable nonsmoothness

Many real-world optimization models comprise nonconvex and nonsmooth functions leading to very hard classes of optimization models. In this article, a new interior-point method for the special, but practically relevant class of optimization problems with locatable and separable nonsmooth aspects is...

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Bibliographic Details
Main Author: Martin Schmidt
Format: article
Language:EN
Published: Elsevier 2015
Subjects:
Online Access:https://doaj.org/article/785d771eaa8a4122ab0d0d8943d3a2b5
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