{"title":"求解具有P_0映射的张量互补问题的光滑牛顿法","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":"{\"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 $\\\\end{document}</tex-math></inline-formula>-dimensional nonnegative orthant, the existing smoothing Newton methods are not directly used to solve this problem. So, we propose a smoothing Newton method preserving nonnegativity via a new one-dimensional line search rule for solving such problem. The global convergence is established and preliminary numerical results illustrate that the proposed algorithm is efficient and very promising.</p>\",\"PeriodicalId\":347719,\"journal\":{\"name\":\"Journal of Industrial & Management Optimization\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Industrial & Management Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3934/jimo.2022041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial & Management Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3934/jimo.2022041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
In this paper, we prove that the tensor complementarity problem with the \begin{document}$ 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.
A smoothing Newton method preserving nonnegativity for solving tensor complementarity problems with $ P_0 $ mappings
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.