{"title":"A smoothing Newton method preserving nonnegativity for solving tensor complementarity problems with $ P_0 $ mappings","authors":"Yan Li, Lu Zhang","doi":"10.3934/jimo.2022041","DOIUrl":null,"url":null,"abstract":"<p style='text-indent:20px;'>In this paper, we prove that the tensor complementarity problem with the <inline-formula><tex-math id=\"M2\">\\begin{document}$ P_0 $\\end{document}</tex-math></inline-formula> mapping on the <inline-formula><tex-math id=\"M3\">\\begin{document}$ n $\\end{document}</tex-math></inline-formula>-dimensional nonnegative orthant is solvable and the solution set is nonempty and compact under mild assumptions. Since the involved homogeneous polynomial is a <inline-formula><tex-math id=\"M4\">\\begin{document}$ P_0 $\\end{document}</tex-math></inline-formula> mapping on the <inline-formula><tex-math id=\"M5\">\\begin{document}$ n $\\end{document}</tex-math></inline-formula>-dimensional nonnegative orthant, the existing smoothing Newton methods are not directly used to solve this problem. So, we propose a smoothing Newton method preserving nonnegativity via a new one-dimensional line search rule for solving such problem. The global convergence is established and preliminary numerical results illustrate that the proposed algorithm is efficient and very promising.</p>","PeriodicalId":347719,"journal":{"name":"Journal of Industrial & Management Optimization","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial & Management Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3934/jimo.2022041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we prove that the tensor complementarity problem with the \begin{document}$ P_0 $\end{document} mapping on the \begin{document}$ n $\end{document}-dimensional nonnegative orthant is solvable and the solution set is nonempty and compact under mild assumptions. Since the involved homogeneous polynomial is a \begin{document}$ P_0 $\end{document} mapping on the \begin{document}$ n $\end{document}-dimensional nonnegative orthant, the existing smoothing Newton methods are not directly used to solve this problem. So, we propose a smoothing Newton method preserving nonnegativity via a new one-dimensional line search rule for solving such problem. The global convergence is established and preliminary numerical results illustrate that the proposed algorithm is efficient and very promising.
In this paper, we prove that the tensor complementarity problem with the \begin{document}$ P_0 $\end{document} mapping on the \begin{document}$ n $\end{document}-dimensional nonnegative orthant is solvable and the solution set is nonempty and compact under mild assumptions. Since the involved homogeneous polynomial is a \begin{document}$ P_0 $\end{document} mapping on the \begin{document}$ n $\end{document}-dimensional nonnegative orthant, the existing smoothing Newton methods are not directly used to solve this problem. So, we propose a smoothing Newton method preserving nonnegativity via a new one-dimensional line search rule for solving such problem. The global convergence is established and preliminary numerical results illustrate that the proposed algorithm is efficient and very promising.