ConvexAnalysisandMinimizationAlgorithmsIIAdvancedTheoryandBundleMethodsAuthors:Hiriart-Urruty,Jean-Baptiste,Lemarechal,ClaudeFromthereviews:"Theaccountisquitedetailedandiswritteninamannerthatwillappealtoanalystsandnumericalpractitionersalike...theycontaineverythingfromrigorousproofstotablesofnumericalcalculations....oneofthestrongfeaturesofthesebooks...thattheyaredesignednotfortheexpert,butforthosewhowhishtolearnthesubjectmatterstartingfromlittleornobackground...therearenumerousexamples,andcounter-examples,tobackupthetheory...Tomyknowledge,nootherauthorshavegivensuchacleargeometricaccountofconvexanalysis.""Thisinnovativetextiswellwritten,copiouslyillustrated,andaccessibletoawideaudience"
2023/7/25 7:32:56 30.46MB Convex Analysis
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TheNexusFrameworkforScalingScrum:ContinuouslyDeliveringanIntegratedProductwithMultipleScrumTeamsImproveandAccelerateSoftwareDeliveryforLarge,Distributed,ComplexProjectsTheNexusFrameworkisthesimplest,mosteffectiveapproachtoapplyingScrumatscaleacrossmultipleteams,sites,andtimezones.CreatedbyScrum.org—thepioneeringScrumtrainingandcertificationorganizationfoundedbyScrumco-creatorKenSchwaber—Nexusdrawsondecadesofexperiencetoaddresstheuniquechallengesteamsfaceincomingtogether,sharingwork,andmanagingandminimizingdependencies.TheNexus™FrameworkforScalingScrumisaconcisebookthatshowshowNexushelpsteamstodeliveracomplex,multi-platform,software-basedproductinshort,frequentcycles,withoutsacrificingconsistencyorquality,andwithoutaddingunnecessarycomplexityorstrayingfromScrum’scoreprinciples.Usinganextendedcasestudy,theauthorsillustratehowNexushelpsteamssolvecommonscalingchallengeslikereducingcross-teamdependencies,preservingteamself-organizationandtransparency,andensuringaccountability.Understandthechallengesofdeliveringworking,integratedproductincrementswithmultipleteams,andhowNexusaddressesthemFormaNexusaroundaneworexistingproductandlearnhowthatNexussetsgoalsandplansitsworkRunSprintswithinaNexus,providetransparencyintoprogress,conducteffectiveNexusSprintreviews,anduseNexusSprintRetrospectivestocontinuouslyimproveOvercomethedistributedteamcollaborationchallengesTableofContentsChapter1IntroductiontoScalingAgileChapter2IntroducingNexusChapter3FormingaNexusChapter4PlanninginNexusChapter5RunningaSprintinNexusChapter6EvolvingtheNexusChapter7TheNexusinEmergencyModeChapter8RetrospectiveontheNexusJourney
2023/7/21 22:27:04 4.06MB Nexus Framework Scaling Scrum
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ER図用户数柱子类型选项ID昵称细绳null:假电子邮件细绳null:false,uniqure:truecreated_at约会时间null:假Updated_at约会时间null:假协会has_many:评论has_many:post_reviews,外键::reviewer_id,class_name::Reviewhas_many:receive_reviews,外键::reviewed_id,class_name::Reviewhas_one:个人资料has_one:卡has_many:buyed_deals,foreign_key::buyer_id,class_name::Dealhas_many:selling_deals,->{where(“buyer_id为NULL”)},has_many:sold
2023/7/16 22:35:38 4.64MB Ruby
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HP93KRF模块详尽教程Lesson1:RFHardwareLesson2:ReviewPortSetups&Multi-siteLesson3:ReviewPortScaleRFSpecificationsLesson4:RFSoftwareLesson5:CWLoopbackLabsLesson6:SetUpSequencingLesson7:ControlRFTriggeringLesson8:ReviewSamplingParametersLesson9:MeasureIntermodulationDistortion(RFtoRF)Lesson10:MeasureIntermodulationDistortion(RFtoRF)Lesson11:CalibrateRFSubsystemLesson12:Multi-TestFlowCalibrationLabLesson13:ModulatedStimulusandMeasurementLesson14:ACLR&EVMLabLesson15:UseRFAPIs.Lesson16:PortScaleFeatureDemoLesson17:MeasureCarrierSuppression(BBtoRF)Lesson18:MeasureIQPhase/AmplitudeImbalance(RFtoBaseband)QuizReviewPortSetups&Multi-site
2023/5/4 0:56:30 22.5MB Verigy HP93K RF
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Eviews是EconometricsViews的缩写,直译为计量经济学查核,每一每一称为计量经济学软件包。
它的本意是对于社会经济关连与经济行为的数目法则,付与计量经济学方式与本领举行“查核”。
另外Eviews也是美国QMS公司研制的在Windows下特意处置数据阐发、回归阐发以及料想的货物。
使用Eviews能够快捷地从数据中探究出统计关连,并用患上到的关连去料想数据的未来值。
Eviews的使用规模搜罗:迷信试验数据阐发与评估、金融阐发、宏不雅经济料想、仿真、销售料想以及资源阐发等。
2023/4/30 1:29:45 30.7MB 计量软件
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WorkswithUnityCloudBuildiOS&AndroidsupportWindows10UWPsupportWebGLsupportWin&Mac&LinuxStandalonesupportPreviewsupportintheEditorOpenCVforUnityisanAssetsPluginforusingOpenCV3.4.2fromwithinUnity.OfficialSite|ExampleCode|AndroidDemoWebGLDemo|Tutorial&DemoVideo|Forum|APIReference|SupportModulesFeatures:-SincethispackageisacloneofOpenCVJava,youareabletousethesameAPIasOpenCVJava3.4.2(link).-Youcanimageprocessinginreal-timebyusingtheWebCamTexturecapabilitiesofUnity.(real-timefacedetectionworkssmoothlyoniPhone5)-ProvidesamethodtointerconversionofUnity'sTexture2DandOpenCV'sMat.-IDisposableisimplementedinmanyclasses.Youcanmanagetheresourceswiththe“using”statement.-Examplesofintegrationwithotherpublisherassetsareavailable.(e.g.PlayMaker,NatCam,NatCorder)ExampleCodeusingOpenCVforUnityisavailable.MarkerBasedARExampleMarkerLessARExampleFaceTrackerExampleFaceSwapperExampleFaceMaskExampleRealTimeFaceRecognitionExampleGoogleVRwithOpenCVforUnityExampleKinectwithOpenCVforUnityExampleAVProwithOpenCVforUnityExampleHoloLenswithOpenCVforUnityExamplePlayMakerActionsforOpenCVforUnityNatCamwithOpenCVForUnityExampleNatCorderwithOpenCVForUnityExampleOpenCVforUnityusesOpenCVunder3-clauseBSDLicense;seeThird-PartyNotices.txtfileinpackagefordetails.SystemRequirementsBuildWinStandalone&PreviewEditor:Windows7orlaterBuildMacStandalone&PreviewEditor:OSX10.9orlater
2023/4/17 8:41:15 67B OpenCV for U OpenCV
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计量经济面板数据主若是协整查验两边跟查验稠浊模子查验牢靠效应随机效应查验hausman查验
2023/4/16 22:28:49 3.59MB EVIEWS
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VAR模子及蒙特卡罗模拟(张晓彤),能够用于迫害评估,适宜数学建模时使用,怪异Eviews软件
2023/4/3 4:05:03 565KB VAR Monte Carlo
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KerasDeepLearningCookbookCopyright©2018PacktPublishingAllrightsreserved.Nopartofthisbookmaybereproduced,storedinaretrievalsystem,ortransmittedinanyformorbyanymeans,withoutthepriorwrittenpermissionofthepublisher,exceptinthecaseofbriefquotationsembeddedincriticalarticlesorreviews.Everyefforthasbeenmadeinthepreparationofthisbooktoensuretheaccuracyoftheinformationpresented.However,theinformationcontainedinthisbookissoldwithoutwarranty,eitherexpressorimplied.Neithertheauthors,norPacktPublishingoritsdealersanddistributors,willbeheldliableforanydamagescausedorallegedtohavebeencauseddirectlyorindirectlybythisbook.PacktPublishinghasendeavoredtoprovidetrademarkinformationaboutallofthecompaniesandproductsmentionedinthisbookbytheappropriateuseofcapitals.However,PacktPublishingcannotguaranteetheaccuracyofthisinformation.Co妹妹issioningEditor:AmeyVarangaonkarAcquisitionEditor:KaranJainContentDevelopmentEditor:KaranThakkarTechnicalEditor:SagarSawantCopyEditor:SafisEditingProjectCoordinator:NidhiJoshiProofreader:SafisEditingIndexer:PratikShirodkarGraphics:JishaChirayilProductionCoordinator:AparnaBhagatFirstpublished:October2018Productionreference:1301018PublishedbyPacktPublishingLtd.LiveryPlace35LiveryStreetBirminghamB32PB,UK.ISBN978-1-78862-175-5www.packtpub.com
2023/4/3 3:35:40 7.37MB deep learnin Keras
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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
2023/3/25 9:44:09 6.19MB Data Structures Algorithms
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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