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1、Instructor’sManualbyThomasH.CormenClaraLeeEricaLintoAccompanyIntroductiontoAlgorithmsSecondEditionbyThomasH.CormenCharlesE.LeisersonRonaldL.RivestCliffordSteinTheMITPressCambridge,MassachusettsLondon,EnglandMcGraw-HillBookCompanyBostonBurrRidge,ILDubuque,IAM
2、adison,WINewYorkSanFranciscoSt.LouisMontr´ealTorontoInstructor’sManualbyThomasH.Cormen,ClaraLee,andEricaLintoAccompanyIntroductiontoAlgorithms,SecondEditionbyThomasH.Cormen,CharlesE.Leiserson,RonaldL.Rivest,andCliffordSteinPublishedbyTheMITPressandMcGraw-Hil
3、lHigherEducation,animprintofTheMcGraw-HillCompanies,Inc.,1221AvenueoftheAmericas,NewYork,NY10020.Copyrightc2002byTheMassachusettsInstituteofTechnologyandTheMcGraw-HillCompanies,Inc.Allrightsreserved.Nopartofthispublicationmaybereproducedordistributedinanyfo
4、rmorbyanymeans,orstoredinadatabaseorretrievalsystem,withoutthepriorwrittenconsentofTheMITPressorTheMcGraw-HillCompanies,Inc.,in-cluding,butnotlimitedto,networkorotherelectronicstorageortransmission,orbroadcastfordistancelearning.ContentsRevisionHistoryR-1Pre
5、faceP-1Chapter2:GettingStartedLectureNotes2-1Solutions2-16Chapter3:GrowthofFunctionsLectureNotes3-1Solutions3-7Chapter4:RecurrencesLectureNotes4-1Solutions4-8Chapter5:ProbabilisticAnalysisandRandomizedAlgorithmsLectureNotes5-1Solutions5-8Chapter6:HeapsortLec
6、tureNotes6-1Solutions6-10Chapter7:QuicksortLectureNotes7-1Solutions7-9Chapter8:SortinginLinearTimeLectureNotes8-1Solutions8-9Chapter9:MediansandOrderStatisticsLectureNotes9-1Solutions9-9Chapter11:HashTablesLectureNotes11-1Solutions11-16Chapter12:BinarySearch
7、TreesLectureNotes12-1Solutions12-12Chapter13:Red-BlackTreesLectureNotes13-1Solutions13-13Chapter14:AugmentingDataStructuresLectureNotes14-1Solutions14-9ivContentsChapter15:DynamicProgrammingLectureNotes15-1Solutions15-19Chapter16:GreedyAlgorithmsLectureNotes
8、16-1Solutions16-9Chapter17:AmortizedAnalysisLectureNotes17-1Solutions17-14Chapter21:DataStructuresforDisjointSetsLectureNotes21-1Solutions21-6Chapter22:ElementaryGraphAlgorithmsLectureNotes22-1S
