Altera(Intel)_MAX10_10M02SCU169开发板资料硬件参考设计+逻辑例程

SCUTfuse文件系统附源码和报告仅供参考。

NUMERICALOPTIMIZATIONpresentsacomprehensiveandup-to-datedescriptionofthemosteffectivemethodsincontinuousoptimization.Itrespondstothegrowinginterestinoptimizationinengineering,science,andbusinessbyfocusingonthemethodsthatarebestsuitedtopracticalproblems.Drawingontheirexperiencesinteaching,research,andconsulting,theauthorshaveproducedatextbookthatwillbeofinteresttostudentsandpractitionersalike.Eachchapterbeginswiththebasicconceptsandbuildsupgraduallytothebesttechniquescurrentlyavailable.Becauseoftheemphasisonpracticalmethods,aswellastheextensiveillustrationsandexercises,thebookisaccessibletoawideaudience.Itcanbeusedasagraduatetextinengineering,operationsresearch,mathematics,computerscience,andbusiness.Italsoservesasahandbookforresearchersandpractitionersinthearea.Aboveall,theauthorshavestrivedtoproduceatextthatispleasanttoread,informativeandrigorous--onethatrevealsboththebeautifulnatureofthedisciplineanditspracticalside.

discuz仿百度贴吧手机模版，附有安装说明，送个大家使用

DISCUZ模板_迪恩旅游风（HWY）商业版GBK+UTF.txt

模版介绍：价值400大洋的Discuz!商业模版，该模板包含门户和论坛页面，整体色彩采用大自然的绿色，带DIY数据，模版兼容主流浏览器，页面结构和CSS均已优化适合搜索引擎收录。
该模版风格大气，不仅可用于旅游类站点，还可以作为兴趣、分享等类型内容站点使用。

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

Discuz，.Net源码，大型的.Net项目源码，论坛源码包含后台管理

datalinearfilteringproblem[Kalman60].Sincethattime,dueinlargeparttoadvancesindigitalcomputing,theKalmanfilterhasbeenthesubjectofextensiveresearchandapplication,particularlyintheareaofautonomousorassistednavigation.Avery“friendly”introductiontothegeneralideaoftheKalmanfiltercanbefoundinChapter1of[Maybeck79],whileamorecompleteintroductorydiscussioncanbefoundin[Sorenson70],whichalsocontainssomeinterestinghistoricalnarrative.Moreextensivereferencesinclude[Gelb74;Grewal93;Maybeck79;Lewis86;Brown92;Jacobs93].

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.

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。