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ID:36431242
大小:3.95 MB
页数:104页
时间:2019-05-10
《minmaxmin规划的凝聚同伦方法及其在数据挖掘中的应用》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、大连理工大学博士学位论文min-max-min规划的凝聚同伦方法及其在数据挖掘中的应用姓名:熊慧娟申请学位级别:博士专业:计算数学指导教师:于波20090901min,max-rain规划的凝聚同伦方法及其在数据挖掘中的应用AggregateHomotowMethodsforMin—max-rainProgrammingwithApplicationsinDataMiningAbstractMin—max-rainprogrammingisakindofimportantnonsmoothproblemthatappearsinvariousfieldssuchase
2、ngineeringoptimizationdesign:circuitdesignanddatamining.Thethesisisbasedontheexistingaggregatehomotopymethod,itconsistsofthefollowingsections:InChapter1.min-max-minprogrammingproblemwithitsapplicationgroundist01’一mulated,andsomeresultsonrelatedtheoryandalgorithmsarerecalled.InChapter2,b
3、ygivingatruncatedaggregatestrategy,allefficienttruncateaggregatemethodfornumericallytracingaggregatehomotopypathisintroduced.Atevery.iteration,onlyapartofcomponentfunctionsareusedtomakeaggregatesmoothingapproximation.whoseindexsetisupdatedadaptivelywithatruncatedaggregatecriterion.Thecr
4、ite-rionconcernsonlywithcomputationofcomponentfunctionsvalue,nottheirgradientsorHessian.Basedonthecriterion,theconvergenceofthetruncatedaggregatehomotopymethodandlocallyquadraticconvergenceofthecorrectoriterationsat,every.steparedis-cussed.InChapter3,usingtwiceaggregatefunction,anewaggr
5、egatedeformationhomotopymethodisestablishedtosolvemin-max-minprogramming.Comparedtoaggregatehomo-towmethod,thenewmethoddoesn’trequiretheweaknormalconeconditionanddoesn’trequireaninteriorinitialpoint.InChapter4:basedonthewellknowndiscretizedconsistentapproximatestrate93jasemi-infiniterai
6、n—max-minprogrammingisapproximatedbyfinitemin-max-minproblems.It‘sproventhatanE-substationarypointCanbeobtainedbysolvingsomedenseenoughrain-max-rainprogrammingwithtruncatedaggregatehomotopymethod.InChapter5,asemi-infinitemin-max-minproblemisreformulatedintoaspecialbi—levelproblem.Undera
7、nassumptionthatthelowerlevelproblemisastrictlyconvexproblem,afirst-orderoptimaliWconditionoftheoriginalproMemisgiven.Anaggregatehomotopyisestablishedforsolvingtheproblem.It’sproventhatthchomotowdeterminesasmoothpath.whichapproachingtoasolutionofagenerahzedKKTpointoftheoriginalp
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