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1、Instructor’sManualbyThomasH.CormenClaraLeeEricaLintoAccompanyIntroductiontoAlgorithmsSecondEditionbyThomasH.CormenCharlesE.LeisersonRonaldL.RivestCliffordSteinTheMITPressCambridge,MassachusettsLondon,EnglandMcGraw-HillBookCompanyBostonBurrRidge,ILDubuque,IAMadison,WINewYorkSanFranciscoSt.LouisMontr′
2、ealTorontoInstructor’sManualbyThomasH.Cormen,ClaraLee,andEricaLintoAccompanyIntroductiontoAlgorithms,SecondEditionbyThomasH.Cormen,CharlesE.Leiserson,RonaldL.Rivest,andCliffordSteinPublishedbyTheMITPressandMcGraw-HillHigherEducation,animprintofTheMcGraw-HillCompanies,Inc.,1221AvenueoftheAmericas,New
3、York,NY10020.Copyrightc2002byTheMassachusettsInstituteofTechnologyandTheMcGraw-HillCompanies,Inc.Allrightsreserved.Nopartofthispublicationmaybereproducedordistributedinanyformorbyanymeans,orstoredinadatabaseorretrievalsystem,withoutthepriorwrittenconsentofTheMITPressorTheMcGraw-HillCompanies,Inc.,i
4、n-cluding,butnotlimitedto,networkorotherelectronicstorageortransmission,orbroadcastfordistancelearning.ContentsRevisionHistoryR-1PrefaceP-1Chapter2:GettingStartedLectureNotes2-1Solutions2-16Chapter3:GrowthofFunctionsLectureNotes3-1Solutions3-7Chapter4:RecurrencesLectureNotes4-1Solutions4-8Chapter5:P
5、robabilisticAnalysisandRandomizedAlgorithmsLectureNotes5-1Solutions5-8Chapter6:HeapsortLectureNotes6-1Solutions6-10Chapter7:QuicksortLectureNotes7-1Solutions7-9Chapter8:SortinginLinearTimeLectureNotes8-1Solutions8-9Chapter9:MediansandOrderStatisticsLectureNotes9-1Solutions9-9Chapter11:HashTablesLect
6、ureNotes11-1Solutions11-16Chapter12:BinarySearchTreesLectureNotes12-1Solutions12-12Chapter13:Red-BlackTreesLectureNotes13-1Solutions13-13Chapter14:AugmentingDataStructuresLectureNotes14-1Solutions14-9ivContentsChapter15:DynamicProgrammingLectureNotes15-1Solutions15-19Chapter16:GreedyAlgorithmsLectur
7、eNotes16-1Solutions16-9Chapter17:AmortizedAnalysisLectureNotes17-1Solutions17-14Chapter21:DataStructuresforDisjointSetsLectureNotes21-1Solutions21-6Chapter22:ElementaryGraphAlgorithmsLectureNotes22-1S
