Domain-SpecificModelingLanguage(DSML)definedbyinformalwaycannotpreciselyrepresentitsstructuralsemantics,sopropertiesofmodelssuchasconsistencycannotbesystematicallyanalyzedandverified.Inresponse,thepaperproposesanapproachforautomatical-lyreasoningconsistencyofDS

Robotics-Modelling,PlanningandControl(Springer,2009),

Thisdefinitivetextbookprovidesasolidintroductiontodiscreteandcontinuousstochasticprocesses,tacklingacomplexfieldinawaythatinstilsadeepunderstandingoftherelevantmathematicalprinciples,anddevelopsanintuitivegraspofthewaytheseprinciplescanbeappliedtomodellingreal-worldsystems.ItincludesacarefulreviewofelementaryprobabilityanddetailedcoverageofPoisson,GaussianandMarkovprocesseswithrichlyvariedqueuingapplications.Thetheoryandapplicationsofinference,hypothesistesting,estimation,randomwalks,largedeviations,martingalesandinvestmentsaredeveloped.Writtenbyoneoftheworld'sleadinginformationtheorists,evolvingovertwentyyearsofgraduateclassroomteachingandenrichedbyover300exercises,thisisanexceptionalresourceforanyonelookingtodeveloptheirunderstandingofstochasticprocesses.

Thisneweditiontotheclassicbookbyggplot2creatorHadleyWickhamhighlightscompatibilitywithknitrandRStudio.ggplot2isadatavisualizationpackageforRthathelpsuserscreatedatagraphics,includingthosethataremulti-layered,withease.Withggplot2,it'seasyto:producehandsome,publication-qualityplotswithautomaticlegendscreatedfromtheplotspecificationsuperimposemultiplelayers(points,lines,maps,tiles,boxplots)fromdifferentdatasourceswithautomaticallyadjustedcommonscalesaddcustomizablesmoothersthatusepowerfulmodelingcapabilitiesofR,suchasloess,linearmodels,generalizedadditivemodels,androbustregressionsaveanyggplot2plot(orpartthereof)forlatermodificationorreusecreatecustomthemesthatcapturein-houseorjournalstylerequirementsandthatcaneasilybeappliedtomultipleplotsapproachagraphfromavisualperspective,thinkingabouthoweachcomponentofthedataisrepresentedonthefinalplotThisbookwillbeusefultoeveryonewhohasstruggledwithdisplayingdatainaninformativeandattractiveway.SomebasicknowledgeofRisnecessary(e.g.,importingdataintoR).ggplot2isamini-languagespecificallytailoredforproducinggraphics,andyou'lllearneverythingyouneedinthebook.Afterreadingthisbookyou'llbeabletoproducegraphicscustomizedpreciselyforyourproblems,andyou'llfinditeasytogetgraphicsoutofyourheadandontothescreenorpage.TableofContentsPartIGettingStartedChapter1IntroductionChapter2GettingStartedwithggplot2Chapter3ToolboxPartIITheGrammarChapter4MasteringtheGrammarChapter5BuildaPlotLayerbyLayerChapter6Scales,AxesandLegendsChapter7PositioningChapter8ThemesPartIIIDataAnalysisChapter9DataAnalysisChapter10DataTransformationChapter11ModellingforVisualisationChapter12Programmingwithggplot2

本资源是本人花重金买的《ModellingtheWirelessPropagationChannelAsimulationapproachwithMATLAB》这本书的源代码。
可以下载保留，相信对你有用的。

ModellingandattitudecontrolofaminiatureductedfanUAV

Robotics,Modelling,PlanningandControl.pdf

本程序为"Anovelsingle-loopprocedurefortime-variantreliabilityanalysisbasedonKrigingmodel"，2019，AppliedMathematicalModelling论文的实施程序。

署理模子钻研必备的指点手册！规模大牛写的著述！SUMO规模必备！

XGM2019eisacombinedglobalgravityfieldmodelrepresentedthroughspheroidalharmonicsuptod/o5399,correspondingtoaspatialresolutionof2’(~4km).AsdatasourcesitincludesthesatellitemodelGOCO06sinthelongerwavelengthareacombinedwithterrestrialmeasurementsfortheshorterwavelengths.TheterrestrialdataitselfconsistsoverlandandoceanofgravityanomaliesprovidedbycourtesyofNGA(identicaltoXGM2016,havingaresolutionof15’)augmentedwithtopographicallyderivedgravityoverland(EARTH2014).Overtheoceans,gravityanomaliesderivedfromsatellitealtimetryareused(DTU13,inconsistencywiththeNGAdataset).Thecombinationofthesatellitedatawiththeterrestrialobservationsisperformedbyusingfullnormalequationsuptod/o719(15’).Beyondd/o719,ablock-diagonalleast-squaressolutioniscalculatedforthehigh-resolutionterrestrialdata(fromtopographyandaltimetry).Allcalculationsareperformedinthespheroidalharmonicdomain.Inthespectralbanduptod/o719thenewmodelshowsoverlandaslightlyimprovedbehavioroverprecedingmodelssuchasXGM2016,EIGEN6c4orEGM2008whencomparingittoindependentGPSlevelingdata.Overlandandinthespectralrangeaboved/o719theaccuracyofXGM2019eslightlysuffersfromthesoleuseoftopographicforwardmodelling;Hence,errorsareincreasedinwell-surveyedareascomparedtomodelscontainingrealgravitydata,e.g.EIGEN6c4orEGM2008.However,theperformanceofXGM2019ecanbeconsideredasgloballymorehomogeneousandindependentfromexistinghighresolutionglobalmodels.Overtheoceansthemodelexhibitsanimprovedperformancethroughoutthecompletespectrum(equalorbetterthanprecedingmodels).

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。