每个人都熟悉所谓“小世界现象”：当你遇见一个陌生人，交谈不久之后，我们往往会惊奇地发现：“原来我们有共同的朋友！”或者说，仅通过几个熟识的人，我们就早已经相互联系在一起了。
在这本书中，邓肯瓦茨（Duncan Watts）将这种有趣的现象——俗称“六度分离”（six degreesof separation）——作为研究更一般现象的引子即证明了：在某种特定的条件下，小世界现象会出现在任何一种类型的网络之中。

Thistextbookintroducessparseandredundantrepresentationswithafocusonapplicationsinsignalandimageprocessing.Thetheoreticalandnumericalfoundationsaretackledbeforetheapplicationsarediscussed.Mathematicalmodelingforsignalsourcesisdiscussedalongwithhowtousethepropermodelfortaskssuchasdenoising,restoration,separation,interpolationandextrapolation,compression,sampling,analysisandsynthesis,detection,recognition,andmore.Thepresentationiselegantandengaging.SparseandRedundantRepresentationsisintendedforgraduatestudentsinappliedmathematicsandelectricalengineering,aswellasappliedmathematicians,engineers,andresearcherswhoareactiveinthefieldsofsignalandimageprocessing.*Introducestheoreticalandnumericalfoundationsbeforetacklingapplications*Discusseshowtousethepropermodelforvarioussituations*Introducessparseandredundantrepresentations*FocusesonapplicationsinsignalandimageprocessingThefieldofsparseandredundantrepresentationmodelinghasgonethroughamajorrevolutioninthepasttwodecades.Thisstartedwithaseriesofalgorithmsforapproximatingthesparsestsolutionsoflinearsystemsofequations,latertobefollowedbysurprisingtheoreticalresultsthatguaranteethesealgorithms’performance.Withthesecontributionsinplace,majorbarriersinmakingthismodelpracticalandapplicablewereremoved,andsparsityandredundancybecamecentral,leadingtostate-of-the-artresultsinvariousdisciplines.Oneofthemainbeneficiariesofthisprogressisthefieldofimageprocessing,wherethismodelhasbeenshowntoleadtounprecedentedperformanceinvariousapplications.Thisbookprovidesacomprehensiveviewofthetopicofsparseandredundantrepresentationmodeling,anditsuseinsignalandimageprocessing.Itoffersasystematicandorderedexposuretothetheoreticalfoundationsofthisdatamodel,thenumericalaspec

盲源分离，语音增强Blindsourceseparation(BSS)methodshavereceivedextensiveattentionoverthepasttwodecades;thankstoitswideapplicabilityinanumberofareassuchasbiomedicalengineering,audiosignalprocessing,andtelecommunications.Theproblemofsourceseparationisaninductiveinferenceproblem,asonlylimitedinformation,e.g.,thesensorobservations,isavailabletoinferthemostprobablesourceestimates.

压缩感知理论与应用全书，共12章，各章标题如下：1.IntroductiontocompressedsensingMarkA.Davenport,MarcoF.Duarte,YoninaC.EldarandGittaKutyniok;2.Secondgenerationsparsemodeling:structuredandcollaborativesignalanalysisAlexeyCastrodad,IgnacioRamirez,GuillermoSapiro,PabloSprechmannandGuoshenYu;3.Xampling:compressedsensingofanalogsignalsMosheMishaliandYoninaC.Eldar;4.Samplingattherateofinnovation:theoryandapplicationsJoseAntoniaUriguen,YoninaC.Eldar,PierLuigiDragottaandZvikaBen-Haim;5.Introductiontothenon-asymptoticanalysisofrandommatricesRomanVershynin;6.AdaptivesensingforsparserecoveryJarvisHauptandRobertNowak;7.Fundamentalthresholdsincompressedsensing:ahigh-dimensionalgeometryapproachWeiyuXuandBabakHassibi;8.GreedyalgorithmsforcompressedsensingThomasBlumensath,MichaelE.DaviesandGabrielRilling;9.GraphicalmodelsconceptsincompressedsensingAndreaMontanari;10.FindingneedlesincompressedhaystacksRobertCalderbank,SinaJafarpourandJeremyKent;11.DataseparationbysparserepresentationsGittaKutyniok;12.FacerecognitionbysparserepresentationArvindGanesh,AndrewWagner,ZihanZhou,AllenY.Yang,YiMaandJohnWright.

Unity3D家养智能编程精辟实现AI脚色的自主挪动——操控行为源码工程操控行为”是指操作抑制脚色，让它们能以模拟真正的方式在游戏天下中挪动。
它的责任方式是经由暴发未必大小以及倾向的操控力，使脚色以某种方式行为。
它属于AI模子中的行为层。
（1）操控行为搜罗一组底子“行为”。
对于径自的AI脚色，底子操控行为搜罗：使脚色濒临或者并吞目的的“Seek”，“Flee”行为；
当脚色濒临目的时使他减速的“Arrival”行为；
使捕猎者追赶猎物的“Pursuit”行为；
使猎物逃离捕猎者的“Evade”行为；
使脚色在游戏天下中随机盘桓的“Wander”行为；
使脚色沿着某条预约路途挪动的“PathFollowing”行为；
使脚色避开挫折物的“ObstacleAvoidance”行为等底子行为中的每一个行为，都暴发响应的操控力，使这些操控力以未必的方式组合起来（实际上就至关于将这些底子“行为”举行了不合的组合），就能够患上到更繁杂的“行为”，从而实现愈加低级的目的。
（2）对于组成小队或者群体的多个AI脚色，搜罗底子的组行为如下。
与其余相邻脚色相持未必距离的“Separation”行为；
与其余相邻脚色相持不合朝向的“Alignment”行为；
濒临其余相邻脚色的“Cohesion”行为；

为验证在聚类阐发的聚类下场,弥留的是要使用一些主不雅评估聚类品质的目的。
本matlab货物箱提供4个内部效度目的以及8个内部效度目的:Randindex,AdjustedRandindex,Silhouette,Calinski-Harabasz,Davies-Bouldin,Homogeneity,Separation等。
含使用尺度。

Thiswholebookaimstobringideasandalgorithmstogether.Iamconvincedthattheymustbetaughtandlearnedinthesamecourse.Thealgorithmclarifiestheidea.Theoldmethod,separationofresponsibilities,nolongerworks:NotperfectMathematicscoursesteachanalyticaltechniquesEngineeringcoursesworkonrealproblemsEvenwithincomputationalsciencethereisaseparationwedon'tneed:NotefficientMathematicscoursesanalyzenumericalalgorithmsEngineeringandcomputerscienceimplementthesoftwareIbelieveitistimetoteachandlearntherealityofcomputationalscienceandengineering.Ihopethisbookhelpstomovethatbeautifulsubjectforward.Thankyouforreadingit.

基于JADE的盲源离散算法程序unctionB=jadeR(X,m)%B=jadeR(X,m)isanm*nmatrixsuchthatY=B*Xareseparatedsources%extractedfromthen*TdatamatrixX.%Ifmisomitted,B=jadeR(X)isasquaren*nmatrix(asmanysourcesassensors)%%BlindseparationofrealsignalswithJADE.Version1.8.May2005.%

包含外部有效性目标和内部有效性目标，Randindex、AdjustedRandindex、Mirkinindex、HubertindexSilhouette、Davies-Bouldin、Calinski-Harabasz、Krzanowski-Lai、Hartigan、weightedinter-tointra-clusterratio、HomogeneitySeparation

PracticalSoftwareArchitectureSolutionsfromtheLegendaryRobertC.Martin(“UncleBob”),,Byapplyinguniversalrulesofsoftwarearchitecture,youcandramaticallyimprovedeveloperproductivitythroughoutthelifeofanysoftwaresystem.Now,buildinguponthesuccessofhisbest-sellingbooksCleanCodeandTheCleanCoder,legendarysoftwarecraftsmanRobertC.Martin(“UncleBob”)revealsthoserulesandhelpsyouapplythem.,,Martin’sCleanArchitecturedoesn’tmerelypresentoptions.Drawingonoverahalf-centuryofexperienceinsoftwareenvironmentsofeveryimaginabletype,Martintellsyouwhatchoicestomakeandwhytheyarecriticaltoyoursuccess.Asyou’vecometoexpectfromUncleBob,thisbookispackedwithdirect,no-nonsensesolutionsfortherealchallengesyou’llface—theonesthatwillmakeorbreakyourprojects.,Learnwhatsoftwarearchitectsneedtoachieve—andcoredisciplinesandpracticesforachievingit,Masteressentialsoftwaredesignprinciplesforaddressingfunction,componentseparation,anddatamanagement,Seehowprogrammingparadigmsimposedisciplinebyrestrictingwhatdeveloperscando,Understandwhat’scriticallyimportantandwhat’smerelya“detail”,Implementoptimal,high-levelstructuresforweb,database,thick-client,console,andembeddedapplications,Defineappropriateboundariesandlayers,andorganizecomponentsandservices,Seewhydesignsandarchitecturesgowrong,andhowtoprevent(orfix)thesefailures,CleanArchitectureisessentialreadingforeverycurrentoraspiringsoftwarearchitect,systemsanalyst,systemdesigner,andsoftwaremanager—andforeveryprogrammerwhomustexecutesomeoneelse’sdesigns.,Registeryourproductatinformit.com/registerforconvenientaccesstodownloads,updates,and/orcorrectionsastheybecomeavailable.

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。