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ID:32027198
大小:1.25 MB
页数:32页
时间:2019-01-30
《凸优化问题几类束方法对偶问题的-研究》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、万方数据凸优化问题几类束方法对偶问题的研究forsolvingunconstrainedoptimizationproblems.whichlaysatheoreticalfoundationforthefurtherstudyofthesecondandthirdchapter.Thesecondchapter,wefirstlyintroducethegenerationandthebasicideaoftheproximalbundlemethod.Wemainlyuseoftheideaoftheproximalbundlemethodand
2、solvetheunconstrainedoriginalproblembytransformingitintoaseriesofquadraticprogrammingproblems.Fromtheviewpointofdualspaceweexplorethepenalizedsub..problemsandprovesomeinterrelatedpropertiesbyadoptingdualspacetheory.Wealsoverifythattherelationshipbetweentheoriginalproblemanddual
3、problemandthespecificformsoftheoptimalsolutionofthesub—problemcanbeobtained,theexpressionofthesolutioniSsimilartothatinthepreviousarticles.Wesumuptherelationshipbetweentheoptimalsolutionofsub-problemandtheconvexcombinationofsubgradientsofpreviousiteratepoints,obtainthecorrespon
4、dingpropertiesofsubgradientsandthepredictiondescent.Secondly,theideaoftheproximalbundlemethodisappliedagain,andtheoptimizationproblemwithconstraintsistransformedintoanunconstrainedproblembyusingindicatorfunctions.Similarimportantconclusionsareobtainedatthesametime.Thethirdchapt
5、er,thedoublystabilizedbundlemethodisproposedanditsbasicideaisdescribed.Inthischapter,withthehelpoftheideasofproximalandlevelbundlemethod,wecoverttheoriginalproblemwithanon—smoothconvexobjectivefunctionandanon.emptyclosedconvexconstraintsettoaseriesofquadraticprogrammingproblems
6、withlevelconstraints.Andfurthermorewecoverttheconstrainedoptimizationproblemintoanunconstrainedoptimizationproblemsbyusingtheindicatorfunctionmethod.Next,similarlywecontinuetOfocusonthedoublystabilizedbundlemethod,fromtheviewpointofthedualproblem,wefindthedualproblemofthepenali
7、zedsub.problem,exploresomerelevantpropertiesinitsdualspaceandverifywhetherthespecificformsoftheoptimalsolutionofthesub-problemcanbeobtained,whethertherelationshipbetweentheoriginalproblemanddualproblemcanbedescribedlikeinchaptertwo.Finally,wesumuptherelationshipbetweentheoptima
8、lsolutionandtheconvexcombinationofsubgradientsofprevio
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