ContentsPrefacevTypographicalConventionsxi1Introduction11.1AQuickOverviewofS.......................31.2UsingS...............................51.3AnIntroductorySession......................61.4WhatNext?.............................122DataManipulation132.1Objects...............................132.2Connections.............................202.3DataManipulation.........................272.4TablesandCross-Classification...................373TheSLanguage413.1LanguageLayout..........................413.2MoreonSObjects.........................443.3ArithmeticalExpressions......................473.4CharacterVectorOperations....................513.5FormattingandPrinting.......................543.6CallingConventionsforFunctions.................553.7ModelFormulae...........................563.8ControlStructures..........................583.9ArrayandMatrixOperations....................603.10IntroductiontoClassesandMethods................664Graphics694.1GraphicsDevices..........................714.2BasicPlottingFunctions......................72viiviiiContents4.3EnhancingPlots...........................774.4FineControlofGraphics......................824.5TrellisGraphics...........................895UnivariateStatistics1075.1ProbabilityDistributions......................1075.2GeneratingRandomData......................1105.3DataSummaries...........................1115.4ClassicalUnivariateStatistics....................1155.5RobustSummaries.........................1195.6DensityEstimation.........................1265.7BootstrapandPermutationMethods................1336LinearStatisticalModels1396.1AnAnalysisofCovarianceExample................1396.2ModelFormulaeandModelMatrices...............1446.3RegressionDiagnostics.......................1516.4SafePrediction....................
2024/5/10 17:01:05 2.73MB R Statistics
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SpikingNeuronModels:Neuronsinthebraincommunicatebyshortelectricalpulses,theso-calledactionpotentialsorspikes.Howcanweunderstandtheprocessofspikegeneration?Howcanweunderstandinformationtransmissionbyneurons?Whathappensifthousandsofneuronsarecoupledtogetherinaseeminglyrandomnetwork?Howdoesthenetworkconnectivitydeterminetheactivitypatterns?And,viceversa,howdoesthespikeactivityinfluencetheconnectivitypattern?Thesequestionsareaddressedinthisintroductorytextaimedatthosetakingcoursesincomputationalneuroscience,theoreticalbiology,neuronalmodeling,biophysics,orneuralnetworks.Theauthorsfocusonphenomenologicalapproachessothatbeginnerscangettogripswiththetheoreticalconceptsbeforeconfrontingthewealthofdetailinbiologicalsystems.ThebookisinthreePartsdealing,inorder,withneuronsandconnections,collectivebehaviorinnetworks,andsynapticplasticityanditsroleinlearning,memory,anddevelopment.Eachchapterendswithaliteraturesurvey,andacomprehensivebibliographyisincluded.Assuchthebookwillalsointroducereaderstocurrentresearch.
2024/3/8 23:49:57 4.93MB Spiking Neuron Models
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IntroductoryStatistics,4ed(统计学导论,SheldonM.Ross,2017年第4版)
2024/2/25 19:53:18 10.4MB 人工智能 数理统计
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DiscoverhowempiricalresearcherstodayactuallyconsiderandapplyeconometricmethodswiththepracticalapproachinWooldridge'sINTRODUCTORYECONOMETRICS:AMODERNAPPROACH,6E.Unliketraditionaltexts,thisbookuniquelydemonstrateshoweconometricshasmovedbeyondasetofabstracttoolstobecomegenuinelyusefulforansweringquestionsinbusiness,policyevaluation,andforecasting.INTRODUCTORYECONOMETRICSisorganizedaroundthetypeofdatabeinganalyzedwithasystematicapproachthatonlyintroducesassumptionsastheyareneeded.Thismakesthematerialeasiertounderstandand,ultimately,leadstobettereconometricpractices.Packedwithrelevantapplications,thetextincorporatesmorethan100intriguingdatasets,availableinsixformats.Updatesintroducethelatestemergingdevelopmentsinthefield.GainafullunderstandingoftheimpactofeconometricsinpracticetodaywiththeinsightsandapplicationsfoundonlyinINTRODUCTORYECONOMETRICS:AMODERNAPPROACH,6E.
2024/2/21 7:26:41 7.42MB Econometrics
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datalinearfilteringproblem[Kalman60].Sincethattime,dueinlargeparttoadvancesindigitalcomputing,theKalmanfilterhasbeenthesubjectofextensiveresearchandapplication,particularlyintheareaofautonomousorassistednavigation.Avery“friendly”introductiontothegeneralideaoftheKalmanfiltercanbefoundinChapter1of[Maybeck79],whileamorecompleteintroductorydiscussioncanbefoundin[Sorenson70],whichalsocontainssomeinterestinghistoricalnarrative.Moreextensivereferencesinclude[Gelb74;Grewal93;Maybeck79;Lewis86;Brown92;Jacobs93].
2023/12/21 14:26:31 238KB kalman
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DataMining:TheTextbookBy作者:CharuC.AggarwalISBN-10书号:3319141414ISBN-13书号:9783319141411Edition版本:2015出版日期:2015-04-14pages页数:(734)$89.99Thistextbookexploresthedifferentaspectsofdataminingfromthefundamentalstothecomplexdatatypesandtheirapplications,capturingthewidediversityofproblemdomainsfordataminingissues.Itgoesbeyondthetraditionalfocusondataminingproblemstointroduceadvanceddatatypessuchastext,timeseries,discretesequences,spatialdata,graphdata,andsocialnetworks.Untilnow,nosinglebookhasaddressedallthesetopicsinacomprehensiveandintegratedway.Thechaptersofthisbookfallintooneofthreecategories:Fundamentalchapters:Datamininghasfourmainproblems,whichcorrespondtoclustering,classification,associationpatternmining,andoutlieranalysis.Thesechapterscomprehensivelydiscussawidevarietyofmethodsfortheseproblems.Domainchapters:Thesechaptersdiscussthespecificmethodsusedfordifferentdomainsofdatasuchastextdata,time-seriesdata,sequencedata,graphdata,andspatialdata.Applicationchapters:Thesechaptersstudyimportantapplicationssuchasstreammining,Webmining,ranking,recommendations,socialnetworks,andprivacypreservation.Thedomainchaptersalsohaveanappliedflavor.Appropriateforbothintroductoryandadvanceddataminingcourses,DataMining:TheTextbookbalancesmathematicaldetailsandintuition.Itcontainsthenecessarymathematicaldetailsforprofessorsandresearchers,butitispresentedinasimpleandintuitivestyletoimproveaccessibilityforstudentsandindustrialpractitioners(includingthosewithalimitedmathematicalbackground).Numerousillustrations,examples,andexercisesareincluded,withanemphasisonsemanticallyinterpretableexamples.
2023/12/10 1:06:56 9.81MB network
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Thesecondeditionofthiswell-knownandhighlyregardedtextcanbeusedasthebasisforaone-ortwo-semesterundergraduatecourseinsignalsandlinearsystemstheoryandapplications.Topicsincludebasicsignalsandsystemsconcepts,lineartime-invariant(LTI)systems,Fourierrepresentationsofcontinuous-timeanddiscrete-timesignals,theCTandDTFouriertransforms,andtime-andfrequency-domainanalysismethods.Theauthoremphasizesapplicationsofthetheorythroughnumerousexamplesinfiltering,sampling,communications,andfeedback.Theparalleldevelopmentofcontinuous-timeanddiscrete-timefrequencydomainmethodsallowsthereadertoapplyinsightsandintuitionacrossthetwodomains.Italsofacilitatesadeeperunderstandingofthematerialbybringingintofocusthesimilaritiesanddifferencesbetweenthetwodomains.Thetextalsoincludesintroductorychaptersoncommunicationsystemsandcontroltheory.Thisbookassumesthatyouhaveabackgroundincalculusaswellasexposuretocomplexnumbersandelementarydifferentialequations.Becauseofitsthoroughnessandunhurriedpace,thistextishighlyrecommendedforstudentsandthoseinterestedinself-study.
2023/10/15 4:29:17 14.24MB Ebook
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Drawingonanimpressiverosterofexpertsinthefield,FundamentalsofComputerGraphics,FourthEditionoffersanidealresourceforcomputercoursecurriculaaswellasauser-friendlypersonalorprofessionalreference.Focusingongeometricintuition,thebookgivesthenecessaryinformationforunderstandinghowimagesgetontothescreenbyusingthecomplementaryapproachesofraytracingandrasterization.Itcoverstopicscommontoanintroductorycourse,suchassamplingtheory,texturemapping,spatialdatastructure,andsplines.Italsoincludesanumberofcontributedchaptersfromauthorsknownfortheirexpertiseandclearwayofexplainingconcepts.HighlightsoftheFourthEditionInclude:UpdatedcoverageofexistingtopicsMajorupdatesandimprovementstoseveralchapters,includingtexturemapping,graphicshardware,signalprocessing,anddatastructuresAtextnowprintedentirelyinfour-colortoenhanceillustrativefiguresofconceptsThefourtheditionofFundamentalsofComputerGraphicscontinuestoprovideanoutstandingandcomprehensiveintroductiontobasiccomputergraphictechnologyandtheory.Itretainsaninformalandintuitivestylewhileimprovingprecision,consistency,andcompletenessofmaterial,allowingaspiringandexperiencedgraphicsprogrammerstobetterunderstandandapplyfoundationalprinciplestothedevelopmentofefficientcodeincreatingfilm,game,orwebdesigns.
2023/10/4 15:52:05 20.55MB 图形学 计算机图形学 渲染 基础
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Introductorylecturesonconvexoptimization,全并适合打印
2023/8/24 17:04:10 8.93MB convex optimization
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WhyYouShouldReadThisBook Thisbookwillteachyouhowtocreateinteractivewebsitesfromthesimplestorderformthroughtocomplex,securee-commercesitesorinteractiveWeb2.0sites.What’smore,you’lllearnhowtodoitusingopensourcetechnologies. ThisbookisaimedatreaderswhoalreadyknowatleastthebasicsofHTMLandhavedonesomeprogramminginamodernprogramminglanguagebeforebuthavenotnecessarilyprogrammedfortheInternetorusedarelationaldatabase.Ifyouareabeginningprogrammer,youshouldstillfindthisbookuseful,butdigestingitmighttakealittlelonger.We’vetriednottoleaveoutanybasicconcepts,butwedocoverthematspeed.ThetypicalreadersofthisbookwanttomasterPHPandMySQLforthepurposeofbuildingalargeorcommercialwebsite.Youmightalreadybeworkinginanotherwebdevelopmentlanguage;ifso,thisbookshouldgetyouuptospeedquickly. WewrotethefirsteditionofthisbookbecauseweweretiredoffindingPHPbooksthatwerebasicallyfunctionreferences.Thesebooksareuseful,buttheydon’thelpwhenyourbossorclienthassaid,“Gobuildmeashoppingcart.”Inthisbook,wehavedoneourbesttomakeeveryexampleuseful.Youcanusemanyofthecodesamplesdirectlyinyourwebsite,andyoucanusemanyotherswithonlyminormodifications.WhatYouWillLearnfromThisBook Readingthisbookwillenableyoutobuildreal-world,dynamicwebsites.Ifyou’vebuiltwebsitesusingplainHTML,yourealizethelimitationsofthisapproach.StaticcontentfromapureHTMLwebsiteisjustthat—static.Itstaysthesameunlessyouphysicallyupdateit.Youruserscan’tinteractwiththesiteinanymeaningfulfashion. UsingalanguagesuchasPHPandadatabasesuchasMySQLallowsyoutomakeyoursitesdynamic:tohavethembecustomizableandcontainreal-timeinformation. Wehavedeliberatelyfocusedthisbookonreal-worldapplications,evenintheintroductorychapters.Webeg
2023/7/25 9:35:58 14.63MB PHP MySQL Web
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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。
2024-04-09 15:03 15KB 钉钉 钉钉打卡