A new search direction of IPM for horizontal linear complementarity problems

This study presents a new search direction for the horizontal linear complementarity problem. A vector-valued function is applied to the system of xy=μe, which defines the central path. Usually, the way to get the equivalent form of the central path is using the square root function. However, in our...

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Main Authors: Xiaoyu Gong, Lei Xi, Bo Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.977448/full
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author Xiaoyu Gong
Xiaoyu Gong
Lei Xi
Lei Xi
Bo Yuan
author_facet Xiaoyu Gong
Xiaoyu Gong
Lei Xi
Lei Xi
Bo Yuan
author_sort Xiaoyu Gong
collection DOAJ
description This study presents a new search direction for the horizontal linear complementarity problem. A vector-valued function is applied to the system of xy=μe, which defines the central path. Usually, the way to get the equivalent form of the central path is using the square root function. However, in our study, we substitute a new search function formed by a different identity map, which obtains the equivalent shape of the central path using the square root function. We get the new search directions from Newton’s Method. Given this framework, we prove polynomial complexity for the Newton directions. We show that the algorithm’s complexity is O(nlognϵ), which is the same as the best-given algorithms for the horizontal linear complementarity problem.
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spelling doaj.art-ab0e6f4bea2b4b0791d7caa9b12bca222023-01-05T06:02:28ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.977448977448A new search direction of IPM for horizontal linear complementarity problemsXiaoyu Gong0Xiaoyu Gong1Lei Xi2Lei Xi3Bo Yuan4School of Economics and Management, China Three Gorges University, Yichang, ChinaYichang Key Laboratory of Information Physics Fusion Defense and Control System (Three Gorges University), Yichang, ChinaYichang Key Laboratory of Information Physics Fusion Defense and Control System (Three Gorges University), Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaThis study presents a new search direction for the horizontal linear complementarity problem. A vector-valued function is applied to the system of xy=μe, which defines the central path. Usually, the way to get the equivalent form of the central path is using the square root function. However, in our study, we substitute a new search function formed by a different identity map, which obtains the equivalent shape of the central path using the square root function. We get the new search directions from Newton’s Method. Given this framework, we prove polynomial complexity for the Newton directions. We show that the algorithm’s complexity is O(nlognϵ), which is the same as the best-given algorithms for the horizontal linear complementarity problem.https://www.frontiersin.org/articles/10.3389/fenrg.2022.977448/fulllinear complementarityinterior-point methodfull-Newton stepcomplexityHLCP
spellingShingle Xiaoyu Gong
Xiaoyu Gong
Lei Xi
Lei Xi
Bo Yuan
A new search direction of IPM for horizontal linear complementarity problems
Frontiers in Energy Research
linear complementarity
interior-point method
full-Newton step
complexity
HLCP
title A new search direction of IPM for horizontal linear complementarity problems
title_full A new search direction of IPM for horizontal linear complementarity problems
title_fullStr A new search direction of IPM for horizontal linear complementarity problems
title_full_unstemmed A new search direction of IPM for horizontal linear complementarity problems
title_short A new search direction of IPM for horizontal linear complementarity problems
title_sort new search direction of ipm for horizontal linear complementarity problems
topic linear complementarity
interior-point method
full-Newton step
complexity
HLCP
url https://www.frontiersin.org/articles/10.3389/fenrg.2022.977448/full
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