{"title":"针对$$p \\ge 2$$的$$ell _{p}$$-norm圆锥优化问题的增强拉格朗日法的收敛性分析","authors":"Benqi Liu, Kai Gong, Liwei Zhang","doi":"10.1007/s11075-024-01912-x","DOIUrl":null,"url":null,"abstract":"<p>This paper focuses on the convergence analysis of the augmented Lagrangian method (ALM) for <span>\\(\\varvec{\\ell }_{\\varvec{p}}\\)</span>-norm cone optimization problems. We investigate some properties of the augmented Lagrangian function and <span>\\(\\varvec{\\ell }_{\\varvec{p}}\\)</span>-norm cone. Moreover, under the Jacobian uniqueness conditions, we prove that the local convergence rate of ALM for solving <span>\\(\\varvec{\\ell }_{\\varvec{p}}\\)</span>-norm cone optimization problems with <span>\\(\\varvec{p} \\varvec{\\ge } \\varvec{2}\\)</span> is proportional to <span>\\(\\varvec{1}\\varvec{/}\\varvec{r}\\)</span>, where the penalty parameter <span>\\(\\varvec{r}\\)</span> is not less than a threshold <span>\\(\\varvec{\\hat{r}}\\)</span>. In numerical simulations, we successfully validate the effectiveness and convergence properties of ALM.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Convergence analysis of the augmented Lagrangian method for $$\\\\ell _{p}$$ -norm cone optimization problems with $$p \\\\ge 2$$\",\"authors\":\"Benqi Liu, Kai Gong, Liwei Zhang\",\"doi\":\"10.1007/s11075-024-01912-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper focuses on the convergence analysis of the augmented Lagrangian method (ALM) for <span>\\\\(\\\\varvec{\\\\ell }_{\\\\varvec{p}}\\\\)</span>-norm cone optimization problems. We investigate some properties of the augmented Lagrangian function and <span>\\\\(\\\\varvec{\\\\ell }_{\\\\varvec{p}}\\\\)</span>-norm cone. Moreover, under the Jacobian uniqueness conditions, we prove that the local convergence rate of ALM for solving <span>\\\\(\\\\varvec{\\\\ell }_{\\\\varvec{p}}\\\\)</span>-norm cone optimization problems with <span>\\\\(\\\\varvec{p} \\\\varvec{\\\\ge } \\\\varvec{2}\\\\)</span> is proportional to <span>\\\\(\\\\varvec{1}\\\\varvec{/}\\\\varvec{r}\\\\)</span>, where the penalty parameter <span>\\\\(\\\\varvec{r}\\\\)</span> is not less than a threshold <span>\\\\(\\\\varvec{\\\\hat{r}}\\\\)</span>. In numerical simulations, we successfully validate the effectiveness and convergence properties of ALM.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s11075-024-01912-x\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s11075-024-01912-x","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Convergence analysis of the augmented Lagrangian method for $$\ell _{p}$$ -norm cone optimization problems with $$p \ge 2$$
This paper focuses on the convergence analysis of the augmented Lagrangian method (ALM) for \(\varvec{\ell }_{\varvec{p}}\)-norm cone optimization problems. We investigate some properties of the augmented Lagrangian function and \(\varvec{\ell }_{\varvec{p}}\)-norm cone. Moreover, under the Jacobian uniqueness conditions, we prove that the local convergence rate of ALM for solving \(\varvec{\ell }_{\varvec{p}}\)-norm cone optimization problems with \(\varvec{p} \varvec{\ge } \varvec{2}\) is proportional to \(\varvec{1}\varvec{/}\varvec{r}\), where the penalty parameter \(\varvec{r}\) is not less than a threshold \(\varvec{\hat{r}}\). In numerical simulations, we successfully validate the effectiveness and convergence properties of ALM.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.