非影印版，可以不用OCR直接复制文字，之前在CSDN上找到影印版居然要12个资源分，嗯，我决定把分数挣回来

一篇著名的数据库数据检索论文，由加州伯克利大学的AntoninGuttman撰写。
论文索引：在计算机辅助设计跟空间数据应用中，为了能高效处理空间数据，数据库系统需要一个检索功能从而根据空间位置来迅速抓取数据。
但是，传统的检索方法不适合用于多维空间中的有限大小的数据对象。
在这篇论文中我们设计了一个叫做R-树的动态检索结构，这种设计满足了我们新的需求并且包含了搜索跟更新数据的算法。
通过一系列的测试我们发现这种数据结构非常高效并认为这种结构适合于当前的空间数据应用数据库系统。

Writtenbyanexpertinthegameindustry,ChristerEricson'snewbookisacomprehensiveguidetothecomponentsofefficientreal-timecollisiondetectionsystems.Thebookprovidesthetoolsandknow-howneededtoimplementindustrial-strengthcollisiondetectionforthehighlydetaileddynamicenvironmentsofapplicationssuchas3Dgames,virtualrealityapplications,andphysicalsimulators.Ofthemanytopicscovered,akeyfocusisonspatialandobjectpartitioningthroughawidevarietyofgrids,trees,andsortingmethods.Theauthoralsopresentsalargecollectionofintersectionanddistancetestsforbothsimpleandcomplexgeometricshapes.SectionsonvectorandmatrixalgebraprovidethebackgroundforadvancedtopicssuchasVoronoiregions,Minkowskisums,andlinearandquadraticprogramming.Ofutmostimportancetoprogrammersbutrarelydiscussedinthismuchdetailinotherbooksarethechapterscoveringnumericalandgeometricrobustness,bothessentialtopicsforcollisiondetectionsystems.Alsouniquearethechaptersdiscussinghowgraphicshardwarecanassistincollisiondetectioncomputationsandonadvancedoptimizationformoderncomputerarchitectures.Allinall,thiscomprehensivebookwillbecometheindustrystandardforyearstocome.

RobertSedgewickhasthoroughlyrewrittenandsubstantiallyexpandedandupdatedhispopularworktoprovidecurrentandcomprehensivecoverageofimportantalgorithmsanddatastructures.ChristopherVanWykandSedgewickhavedevelopednewC++implementationsthatbothexpressthemethodsinaconciseanddirectmanner,andalsoprovideprogrammerswiththepracticalmeanstotestthemonrealapplications.Manynewalgorithmsarepresented,andtheexplanationsofeachalgorithmaremuchmoredetailedthaninpreviouseditions.Anewtextdesignanddetailed,innovativefigures,withaccompanyingcommentary,greatlyenhancethepresentation.ThethirdeditionretainsthesuccessfulblendoftheoryandpracticethathasmadeSedgewick'sworkaninvaluableresourceformorethan250,000programmers!Thisparticularbook,Parts1n4,representstheessentialfirsthalfofSedgewick'scompletework.Itprovidesextensivecoverageoffundamentaldatastructuresandalgorithmsforsorting,searching,andrelatedapplications.Althoughthesubstanceofthebookappliestoprogramminginanylanguage,theimplementationsbyVanWykandSedgewickalsoexploitthenaturalmatchbetweenC++classesandADTimplementations.Highlights*Expandedcoverageofarrays,linkedlists,strings,trees,andotherbasicdatastructures*Greateremphasisonabstractdatatypes(ADTs),modularprogramming,object-orientedprogramming,andC++classesthaninpreviouseditions*Over100algorithmsforsorting,selection,priorityqueueADTimplementations,andsymboltableADT(searching)implementations*Newimplementationsofbinomialqueues,multiwayradixsorting,randomizedBSTs,splaytrees,skiplists,multiwaytries,Btrees,extendiblehashing,andmuchmore*Increasedquantitativeinformationaboutthealgorithms,givingyouabasisforcomparingthem*Over1000newexercisestohelpyoulearnthepropertiesofalgorithmsWhetheryouarelearningthealgorithmsforthefirsttimeorwishtohaveup-to-datereferencematerialthatincorporatesnewprogrammingstyleswithclassicandnewalgorithms,youwillfindawealthofusefulinformationinthisbook.

英文版高级数据结构PPT，内容包括：Amortizedcomplexity(Web)Externalsorting&tournamenttrees(Sections7.10.1,7.10.2,and5.8)Buffering(Section7.10.3)Rungeneration&optimalmergepatterns(Huffmantrees)(Sections7.10.4and7.10.5)Priorityqueuesandmerging(Section5.6)Leftisttrees,BinomialheapsandFibonacciheaps(Sections9.2,9.3,and9.4)Pairingheaps(Section9.5)Doubleendedpriorityqueues(Sections9.6and9.7,Web)Staticanddynamicweightedbinarysearchtrees(Section10.1)AVL-trees(Section10.2)Red-blacktrees(Section10.3)Splaytrees(Section10.4)B-,B+andB*-trees(Sections11.1-11.3)Triesanddigitalsearchtrees(Sections12.1-12.3)Triesandpacketforwarding(Section12.5)Suffixtrees(Section12.4)Bloomfilters(Section8.4)Segmenttrees(readings)IntervaltreesPrioritysearchtrees(readings)k-dtrees(readings)Quadandocttrees(readings)BSPtreesR-trees

Thisbookintroducesyoutotheworldofdatastructuresandalgorithms.Datastructuredefinesthewaydataisarrangedincomputermemoryforfastandefficientaccesswhilealgorithmisasetofinstructiontosolveproblemsbymanipulatingthesedatastructures.DataStructuresalgorithmsInGoHemantjainCopyrightoHemantJain2017.AllRightReservedHemantJainassertsthemoralrighttobeidentifiedasheauthorofthisworkAllrightsreserved.Nopartofthispublicationmaybereproduced,storedinorintroducedintoaretrievalsystem,ortransmitted,inanyform,orbyanymeans(electrical,mechanical,photocopying,recordingorotherwise)withoutthepriorwrittenpermissionoftheauthor,exceptinthecaseofverybriefquotationsembodiedincriticalreviewsandcertainothernonco妹妹ercialusespermittedbycopyrightlaw.AnypersonwhodoesanyunauthorizedactinrelationtothispublicationmaybeliabletocriminalprosecutionandcivilclaimsfordamagesACKNOWLEDGEMENTTheauthorisverygratefultoGodALMIGhTYforhisgraceandblessingDeepestgratitudeforthehelpandsupportofmybrotherDrSumantJain.ThisbookwouldnothavebeenpossiblewithoutthesupportandencouragementheprovidedIwouldliketoexpressprofoundgratitudetomyguide/myfriendNaveenKaushikforhisinvaluableencouragement,supervisionandusefulsuggestionthroughoutthisbookwritingwork.hissupportandcontinuousguidanceenablemetocompletemyworksuccessfuFinallyyetimportantly,IamthankfultoLoveSinghal,AnilberryandotherswhohelpedmedirectlyorindirectlyincompletingthisbookHemantJainTABLEOFCONTENTSACKNOWLEDGEMENTTABLEOFCONTENTSChAPTERO:HOWTOUSETHISBOOKWHATTHISBOOKISABOUTPREPARATIONPLANSSUMMARYChAPTER1:NTRODUCTION-PROGRAMMIINGOVERVIEWINTRODUCTIONFIRSTGOPROGRAMvariablesconstantsBASICDATATYPESSTRINGCONDITIONSANDLOOPSFUNCTIONPARAMETERPASSINGCALLBYVALUEPOINTERSPARAMETERPASSING.CALLBYPOINTER/REFERENCESTRUCTURESMETHODSINTERFACEARRaySLICEMAP/DICTIONARYARRAYINTERVIEWQUESTIONSCONCEPTOFSTACKSYSTEMSTACKANDMETHODCALLSRECURSIVEFUNCTIONEXERCISESCHAPTER2:ALGORITHMSANALYSISINTRODUCTIONALGORITHMASYMPTOTICANALYSISBIG-ONOTATIONOMEGA-QNOTATIONTHETA-⊙NOTATIONCOMPLEXITYANALYSISOFALGORITHMSTIMECOMPLEXITYORDERDERIVINGTHERUNTIMEFUNCTIONOFANALGORITHMTIMECOMPLEXITYEXAMPLESMASTERTHEOREMMODIFIEDMASTERTHEOREMEXERCISECHAPTER3:APPROACHTOSOLVEALGORITHMDESIGNPROBLEMSINTRODUCTIONCONSTRAINTSIDEAGENERATIONCOMPLEXITIESCODINGTESTINGEⅹAMPLESUMMARYChaPTER4:ABSTRACTDATATYPEGOCollECtIonsABSTRACTDATATYPE(ADTDATA-STRUCTUREGOCOLLECTIONFRAMEWORKACKQUEUETREEBINARYTREEBINARYSEARCHTREES(BSTPRIORITYQUEUE(HEAPHASH-TABLEDICTIONARY/SYMBOLTABLEGRAPHSGRAPHALGORITHMSSORTINGALGORITHMSCOUNTINGSORTENDNOTEchaPTER5:SEARCHINGINTRODUCTIONWHYSEARCHING?DIFFERENTSEARCHINGALGORITHMSLINEARSEARCH-UNSORTEDINPUTLINEARSEARCH-SORTEDBINARYSEARCHSTRINGSEARCHINGALGORITHMSHASHINGANDSYMBOLTABLESHOWSORTINGISUSEFULINSELECTIONALGORITHM?PROBLEMSINSEARCHINGEXERCISECHAPTER6:SORTINGINTRODUCTIONTYPEOFSORTINGBUBBLE-SORTMODIFIED(IMPROVED)BUBBLE-SORTINSERTION-SORTSELECTION-SORTMERGE-SORTQUICK-SORTQUICKSELECTBUCKETSORTGENERALIZEDBUCKETSORTHEAP-SORTTREESORTINGEXTERNALSORT(EXTERNALMERGE-SORTICOMPARISONSOFTHEVARIOUSSORTINGALGORITHMSSELECTIONOFBESTSORTINGALGORITHMEXERCISEChAPTER7:LINKEDLISTINTRODUCTIONLINKEDLISTTYPESOFLINKEDLISTSINGLYLINKEDLISTDOUBLYLINKEDLISTCIRCULARLINKEDLISTDOUBLYCIRCULARLISTEXERCISEchapter8:STACKINTRODUCTIONTHESTACKABSTRACTDATATYPESTACKUSINGSLICESSTACKGENERICIMPLEMENTATIONSTACKUSINGLINKEDLISTPROBLEMSINSTACKUSESOFSTACKEXERCISEchaPTER9:QUEUEINTRODUCTIONTHEQUEUEABSTRACTDATATYPEQUEUEUSINGLISTQUEUEUSINGLINKEDLISTPROBLEMSINQUEUEEXERCISECHAPTER10:TREEINTRODUCTIONTERMINOLOGYINTREEBINARYTREETYPESOFBINARYTREESPROBLEMSINBINARYTREEBINARYSEARCHTREE(BST)PROBLEMSINBINARYSEARCHTREE(BSTISEGMENTTREEAVLTREESRED-BLACKTREESPLAYTREEB-TREEB+TREEB*TREEEXERCISECHAPTERIl:PRIORITYQUEUEINTRODUCTIONTYPESOFHEAPHEAPADTOPERATIONSOPERATIONONHEAPHEAP-SORTUSESOFHEAPPROBLEMSINHEAPPRIORITYQUEUEGENERICIMPLEMENTATION.PRIORITYQUEUEUSINGHEAPFROMCONTAINER.EXERCISECHAPTER12:HASH-TABLEINTRODUCTIONHASH-TABLEHASHIINGWITHOPENADDRESSINGHASHINGWITHSEPARATECHAININGPROBLEMSINHASHINGEXERCISEChaPTER13:GRAPHSINTRODUCTIONGRAPHREPRESENTATIONADJACENCYMATRIXADJACENCYLISTGRAPHTRAVERSALSDEPTHFIRSTTRAVERSALBREADTHFIRSTTRAVERSALPROBLEMSINGRAPHDIRECTEDACYCLICGRAPHTOPOLOGICALSORTMINIMUMSPANNINGTREES(MST)SHORTESTPATHALGORITHMSINGRAPHEXERCISEChAPTER14:STRINGALGORITHMSTRODUCTIONSTRINGMATCHINGDICTIONARY/SYMBOLTABLEPROBLEMSINSTRINGEXERCISECHAPTER15:ALGORITHMDESIGNTECHNIQUESNTRODUCTIONBRUTEFORCEALGORITHMGREEDYALGORITHMDIVIDE-AND-CONQUER,DECREASE-AND-CONQUERDYNAMICPROGRAMMINGREDUCTIONTRANSFORM-AND-CONQUERBACKTRACKINGBRANCH-AND-BOUNDAALGORITHMCONCLUSIONCHAPTER16:BRUTEFORCEALGORITHMINTRODUCTIONPROBLEMSINBRUTEFORCEALGORITHMCONCLUSIONCHAPTER17:GREEDYALGORITHMINTRODUCTIONPROBLEMSONGREEDYALGORITHMCHAPTER18:DIVIDE-AND-CONQUER,DECREASE-AND-CONQUER

SwingX是一个包含SwingGUI工具包的扩展控件，为富客户端应用提供很多很棒的组件。
值得留意的功能包括：　　1。
提供tables,trees,和lists的排序，过滤，高亮功能　　2。
查找/搜索　　3。
登录/验证架构　　4。
提供TreeTable组件　　5。
日期选择组件　　……等等。
SwingX尤其关注于行列组件的功能扩展。

经典阵列处理教程：《Optimum_Array_Processing》的英文版，中文名《最优阵列处理技能》Harry_L._Van_Trees著

图像处理库-Mikolajczyk图像库.bark.bikes.boat.graf.leuven.trees.ubc.wall.包括.ppm格局和转换好的.png格局的图片数据集

红黑树（RedBlackTree）是一种自平衡二叉查找树，是在计算机科学中用到的一种数据结构，典型的用途是实现关联数组。
红黑树是在1972年由RudolfBayer发明的，当时被称为平衡二叉B树（symmetricbinaryB-trees）。
后来，在1978年被LeoJ.Guibas和RobertSedgewick修改为如今的“红黑树”。
红黑树是一种特化的AVL树（平衡二叉树），都是在进行插入和删除操作时通过特定操作保持二叉查找树的平衡，从而获得较高的查找功能。
它虽然是复杂的，但它的最坏情况运行时间也是非常良好的，并且在实践中是高效的：它可以在O(logn)时间内做查找，插入和删除，这里的n是树中元素的数目。

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。