A Full-Newton Step Interior-Point Method for Weighted Quadratic Programming Based on the Algebraic Equivalent Transformation

In this paper, a new full-Newton step feasible interior-point method for convex quadratic programming is presented and analyzed. The idea behind this method is to replace the complementarity condition with a non-negative weight vector and use the algebraic equivalent transformation for the obtained...

詳細記述

書誌詳細

出版年:	Mathematics
主要な著者:	Yongsheng Rao, Jianwei Su, Behrouz Kheirfam
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-04-01
主題:	quadratic programming interior-point methods full-Newton step weight vector
オンライン･アクセス:	https://www.mdpi.com/2227-7390/12/7/1104