分析XPS数据使用最多的一款软件-TermoAvantage,TermoAvantage软件进行XPS谱图处理步骤
2024/2/7 0:54:48 2.98MB 化学材料
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Thisdefinitivetextbookprovidesasolidintroductiontodiscreteandcontinuousstochasticprocesses,tacklingacomplexfieldinawaythatinstilsadeepunderstandingoftherelevantmathematicalprinciples,anddevelopsanintuitivegraspofthewaytheseprinciplescanbeappliedtomodellingreal-worldsystems.ItincludesacarefulreviewofelementaryprobabilityanddetailedcoverageofPoisson,GaussianandMarkovprocesseswithrichlyvariedqueuingapplications.Thetheoryandapplicationsofinference,hypothesistesting,estimation,randomwalks,largedeviations,martingalesandinvestmentsaredeveloped.Writtenbyoneoftheworld'sleadinginformationtheorists,evolvingovertwentyyearsofgraduateclassroomteachingandenrichedbyover300exercises,thisisanexceptionalresourceforanyonelookingtodeveloptheirunderstandingofstochasticprocesses.
2024/2/6 15:34:55 6.94MB 随机过程 概率分析
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将两个文件拖放到Keil5的安装路径里,选择替换,我的文件安装目录如下(C:\Keil_v5\UV4)参考了博主"青山泽木"的配色方案,参考链接:https://blog.csdn.net/houtian5418/article/details/107598116?utm_medium=distribute.pc_relevant_download.none-task-blog-baidujs-1.nonecase&depth_1-utm_source=distribute.pc_relevant_download.none-task-blog-baidujs-1.nonecase
2024/2/5 9:55:31 2KB Keil5 STM32 背景配色
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套接字服务器RESTServerCursodeAngular重构模节点npminstall通用DISTtsc-wLevantarElServidorCualquierdeEstosDosComandosnodemondist/nodedist/
2023/12/13 22:36:28 16KB TypeScript
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ReactNativehelpsdevelopersreusecodeacrossdifferentmobileplatformslikeiOSandAndroid.ThisbookwillshowyoueffectivedesignpatternsintheReactNativeworldandwillmakeyoureadyforprofessionaldevelopmentinbigteams.ThebookwillfocusonlyonthepatternsthatarerelevanttoJavaScript,ECMAScript,ReactandReactNative.However,youcansuccessfullytransferalotoftheskillsandtechniquestootherlanguages.Icallthem“Ideapatterns”.ThisbookwillstartwiththemoststandarddevelopmentpatternsinReactlikecomponentbuildingpatterns,stylingpatternsinReactNativeandthenextendthesepatternstoyourmobileapplicationusingrealworldpracticalexamples.Eachchaptercomeswithfull,separatesourcecodeofapplicationsthatyoucanbuildandrunonyourphone.Thebookisalsodivingintoarchitecturalpatterns.EspeciallyhowtoadaptMVCtoReactenvironment.YouwilllearnFluxarchitectureandhowReduxisimplementingit.Eachapproachwillbepresentedwithitsprosandcons.YouwilllearnhowtoworkwithexternaldatasourcesusinglibrarieslikeReduxthunkandReduxSaga.
2023/12/9 0:57:40 6.11MB react native design patterns
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InfragisticsNetAdvantageforWindowsForms2009Vol2Source(2009年9月5日的版本包含Key)
2023/12/3 1:46:57 13.39MB Infragistics NetAdvantage .net控件 源代码
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剥离了业务代码,一个上手即用的项目,可以直接开发小程序页面,引入了两款Ui框架vant的weapp和原生weui,封装了request请求和微信登陆获取code,非常便捷调用,留了一个页面的写法作为例子。
注意在工具里构建npm时所有下载好的都直接在miniprogram_npm/xxx下如果是miniprogram_npm/miniprogram_npm/xxx请手动删除多余的一级目录复制在一级目录下
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vant官网中找不到关于area省市区选择的数据源,所以我这边整理成json格式,以便下载使用。
2023/11/15 6:48:07 115KB area数据源 vantui
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nmanydataanalysistasks,oneisoftenconfrontedwithveryhighdimensionaldata.Featureselectiontechniquesaredesignedtofindtherelevantfeaturesubsetoftheoriginalfeatureswhichcanfacilitateclustering,classificationandretrieval.Thefeatureselectionproblemisessentiallyacombinatorialoptimizationproblemwhichiscomputationallyexpensive.Traditionalfeatureselectionmethodsaddressthisissuebyselectingthetoprankedfeaturesbasedoncertainscorescomputedindependentlyforeachfeature.Theseapproachesneglectthepossiblecorrelationbetweendifferentfeaturesandthuscannotproduceanoptimalfeaturesubset.InspiredfromtherecentdevelopmentsonmanifoldlearningandL1-regularizedmodelsforsubsetselection,weproposehereanewapproach,called{\emMulti-Cluster/ClassFeatureSelection}(MCFS),forfeatureselection.Specifically,weselectthosefeaturessuchthatthemulti-cluster/classstructureofthedatacanbebestpreserved.Thecorrespondingoptimizationproblemcanbeefficientlysolvedsinceitonlyinvolvesasparseeigen-problemandaL1-regularizedleastsquaresproblem.ItisimportanttonotethatMCFScanbeappliedinsuperised,unsupervisedandsemi-supervisedcases.Ifyoufindthesealgoirthmsuseful,weappreciateitverymuchifyoucanciteourfollowingworks:PapersDengCai,ChiyuanZhang,XiaofeiHe,"UnsupervisedFeatureSelectionforMulti-clusterData",16thACMSIGKDDConferenceonKnowledgeDiscoveryandDataMining(KDD'10),July2010.BibtexsourceXiaofeiHe,DengCai,andParthaNiyogi,"LaplacianScoreforFeatureSelection",AdvancesinNeuralInformationProcessingSystems18(NIPS'05),Vancouver,Canada,2005Bibtexsource
2023/11/13 1:03:27 5KB featur
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Successinyourcalculuscoursestartshere!JamesStewart'sCALCULUStextsareworld-widebest-sellersforareason:theyareclear,accurate,andfilledwithrelevant,real-worldexamples.WithCALCULUS,SeventhEdition,Stewartconveysnotonlytheutilityofcalculustohelpyoudeveloptechnicalcompetence,butalsogivesyouanappreciationfortheintrinsicbeautyofthesubject.Hispatientexamplesandbuilt-inlearningaidswillhelpyoubuildyourmathematicalconfidenceandachieveyourgoalsinthecourse!
2023/10/25 14:16:08 23.39MB Calculus 微积分
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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