凸优化问题几类束方法对偶问题的-研究

凸优化问题几类束方法对偶问题的-研究

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时间:2019-01-30

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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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