%用遗传算法进行简单函数的优化clearbn=22;%个体串长度inn=50;%初始种群大小gnmax=200;%最大代数pc=0.75;%交叉概率pm=0.05;%变异概率%产生初始种群s=round(rand(inn,bn));%计算适应度,返回适应度f和累积概率p[f,p]=objf(s);gn=1;whilegn＜gnmax+1forj=1:2:inn%选择操作seln=sel(s,p);%交叉操作scro=cro(s,seln,pc);scnew(j,:)=scro(1,:);scnew(j+1,:)=scro(2,:);%变异操作smnew(j,:)=mut(scnew(j,:),pm);smnew(j+1,:)=mut(scnew(j+1,:),pm);ends=smnew;%产生了新的种群%计算新种群的适应度[f,p]=objf(s);%记录当前代最好和平均的适应度[fmax,nmax]=max(f);fmean=mean(f);ymax(gn)=fmax;ymean(gn)=fmean;%记录当前代的最佳个体x=n2to10(s(nmax,:));xx=-1.0+x*3/(power(2,bn)-1);xmax(gn)=xx;gn=gn+1endgn=gn-1;%绘制曲线subplot(2,1,1);plot(1:gn,[ymax;ymean]);title('历代适应度变化','fonts',10);legend('最大适应度','平均适应度');string1=['最终适应度',num2str(ymax(gn))];gtext(string1);subplot(2,1,2);plot(1:gn,xmax,'r-');legend('自变量');string2=['最终自变量',num2str(xmax(gn))];gtext(string2);

这是对WPFVisifire3.6.8源代码进行的简单扩展，本源代码中包含了各种实例以及一个完善的程序：内存监视器1＞修改了线Legend样式，并放大了，源系统Legend太小2、设置了圆环内径可设定，原代码内径为外径的1/23、调整了柱状图的间隔系数由0.1改为0.2，要不然，当柱状图比较多时，缝隙太小，给人的视觉感觉就是夹了一个白线4、添加了滚轮缩放和鼠标拖放操作(见里面的程序：内存监视器)5、添加了对DataPoints的绑定支持，这是因为使用DataSource绑定时，在动态曲线的情况下，内存无法释放，而使用DataPoints绑定则可以及时释放内存，这点例子里面也使用了几种绑定的动态曲线例子，并可通过另一个例子：内存监视器来检测不同的数据绑定的内存释放情况。
值得说明的是即使最新的WPFVisifire5.1.7版本，在使用DataSource绑定时，内存也不能及时释放。
还有一些其他的小改进感觉修改WPFVisifire的代码相当困难，很多在不断的尝试下进行的，这点和微软的WPFCharts相比，确实不一样，微软的WPFCharts是完全基于WPF编程思想进行的，注重其神而忽略其形，很多样式模板都是可以在外部修改的，相应的有关外形定义的属性则很少，而这点上，WPFVisifire则相对比价传统，几乎没定义多少模板，但提供了超多的外形属性，连字体大小、颜色等各种属性都能设定。
在数据性能上，微软的WPFCharts比较差，加载4000个数据就慢得不行，WPFVisifire3.6.8一万多个都没问题，更高的没测试，而最新的那个5.1.7版本在我的电脑上加载10W个数据在0.7秒左右，所以要想高性能，商业上还是得花那么一点钱买正版。
微软的Chart扩展：http://download.csdn.net/detail/maiker/9646423

对matlab中平滑处理做了详细的介绍yy1=smooth(y,30); %利用移动平均法对y做平滑处理＞＞figure; %新建一个图形窗口＞＞plot(t,y,'k:'); %绘制加噪波形图＞＞holdon;＞＞plot(t,yy1,'k','linewidth',3); %绘制平滑后波形图＞＞xlable('t');＞＞xlabel('t');＞＞ylabel('moving');＞＞legend('加噪波形','平滑后波形');

DifferentialEquationsandLinearAlgebra(4th)英文无水印原版pdf第4版pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除查看此书详细信息请在美国亚马逊官网搜索此书EditorialDirector,Mathematics:ChristinehoagEditor-in-Chief:DeirdreLynchAcquisitionsEditor:WilliamHoffmaProjectTeamLead:ChristinaleProjectmanager:LaurenMorseEditorialAssistant:JenniferSnyderProgramTeamLead:KarenwernholmProgramManagerDaniellesimbajonCoverandillustrationDesign:StudioMontageProgramDesignLead:BethPaquinProductMarketingManagerClaireKozarProductMarketingCoordiator:BrookesmithFieldMarketingManager:EvanStCyrSeniorAuthorSupport/TechnologySpecialist:JoevetereSeniorProcurementSpecialist:CarolMelvilleInteriorDesign,ProductionManagement,AnswerArt,andCompositioneNergizerAptara,LtdCoverImage:LighttrailsonmodernbuildingbackgroundinShanghai,China-hxdyl/123RFCopyrightO2017,2011,2005PearsonEducation,Inc.oritsaffiliates.AllRightsReserved.PrintedintheUnitedStatesofAmerica.Thispublicationisprotectedbycopyright,andpermissionshouldbeobtainedfromthepublisherpriortoanyprohibitedreproduction,storageinaretrievalsystem,ortransmissioninanyformorbyanymeans,electronic,mechanical,photocopyingrecording,orotherwise.Forinformationregardingpermissions,requestformsandtheappropriatecontactswithinthePearsonEducationGlobalRights&Permissionsdepartmentpleasevisitwww.pearsoned.com/permissions/PEARSONandALWAYSLEARNINGareexclusivetrademarksintheU.s.and/orothercountriesownedbyPearsonEducation,Inc.oritsaffiliatesUnlessotherwiseindicatedherein,anythird-partytrademarksthatmayappearinthisworkarethepropertyoftheirrespectiveowandanyreferencestothird-partytrademarks,logosorothertradedressarefordemonstrativeordescriptivepurposesonly.SuchofsuchmarksoranyrelationshipbetweentheownerandPearsonEducation,Inc.oritsaffiliates,authors,licenseesordistributortreferencesarenotintendedtoimplyanysponsorship,endorsement,authorization,orpromotionofPearsonsproductsbytheownersLibraryofCongressCataloging-in-PublicationDataGoode.StephenwDifferentialequationsandlinearalgebra/StephenW.GoodeandScottA.AnninCaliforniastateUniversity,Fullerton.-4theditionpagescmIncludesindexISBN978-0-321-96467-0—ISBN0-32196467-51.Differentialequations.2.Algebras,Linear.I.Annin,Scott.II.TitleQA371.G6442015515’.35-dc23201400601512345678910V031-1918171615PEARSONISBN10:0-321-96467-5www.pearsonhighered.comISBN13:978-0-321-96467-0ContentsPrefacevii1First-OrderDifferentialEquations1.1DifferentialEquationsEverywhere11.2BasicIdeasandTerminology131.3TheGeometryofFirst-OrderDifferentialEquations231.4SeparableDifferentialEquations341.5SomeSimplePopulationModels451.6First-OrderLinearDifferentialEquations531.7ModelingProblemsUsingFirst-OrderLinearDifferentialEquations61.8Changeofvariables711.9ExactDifferentialEquations821.10Numericalsolutiontofirst-OrderDifferentialEquations931.11SomeHigher-OrderDifferentialEquations1011.12ChapterReview1062MatricesandSystemsofLinearEquations1142.1Matrices:Definitionsandnotation1152.2MatrixAlgebra1222.3TerminologyforSystemsofLinearEquations13824R。
w-EchelonMatricesandElementaryR。
wOperations1462.5Gaussianelimination1562.6TheInverseofasquarematrix1682.7ElementaryMatricesandtheLUFactorization1792.8TheInvertiblematrixtheoremi1882.9ChapterReview1903Determinants1963.1TheDefinitionofthedeterminant1963.2PropertiesofDeterminants2093.3CofactorExpansions2223.4SummaryofDeterminants2353.5ChapterReview242iyContents4VectorSpaces2464.1Vectorsinrn2484.2DefinitionofaVectorSpace2524.3Subspaces2634.4SpanningSets2744.5LinearDependenceandLinearIndependence2844.6Basesanddimension2984.7Changeofbasis3114.8RowSpaceandColumnSpace3194.9TheRank-NullityTheorem3254.10InvertibleMatrixTheoremll3314.11ChapterReview3325InnerProductSpaces3395.1DefinitionofanInnerproductspace3405.2OrthogonalSetsofvectorsandorthogonalProjections3525.3Thegram-Schmidtprocess3625.4LeastSquaresApproximation3665.5ChapterReview3766LinearTransformations3796.1Definitionofalineartransformation3806.2Transformationsofr23916.3TheKernelandrangeofalineartransformation3976.4AdditionalPropertiesofLinearTransformations4076.5Thematrixofalineartransformation4196.6Chaiterreview4287EigenvaluesandEigenvectors4337.1TheEigenvalue/EigenvectorProblem4347.2GeneralResultsforEigenvaluesandEigenvectors4467.3Diagonalization4547.4AnIntroductiontotheMatrixExponentialFunction4627.5OrthogonalDiagonalizationandQuadraticforms4667.6Jordancanonicalforms4757.7Chapterreview4888LinearDifferentialEquationsofOrdern4938.1GeneralTheoryforLinearDifferentialEquations4958.2ConstantCoefficientHomogeneousLinearDifferentialEquations5058.3ThemethodofundeterminedcoefficientsAnnihilators5158.4Complex-ValuedTrialSolutions5268.5OscillationsofaMechanicalSystem529Contentsv8.6RLCCircuits5428.7TheVariationofparametersmethod5478.8ADifferentialEquationwithNonconstantCoefficients5578.9Reductionoforder5688.10ChapterReview5739SystemsofDifferentialEquations5809.1First-OrderLinearSystems5829.2VectorFormulation5889.3GeneralResultsforfirst-OrderLinearDifferentialystems5939.4VectorDifferentialEquations:NondefectiveCoefficientMatrix5999.5VectorDifferentialEquations:DefectiveCoefficientMatrix6089.6Variation-of-ParametersforLinearSystems6209.7SomeApplicationsofLinearSystemsofDifferentialEquations6259.8MatrixExponentialFunctionandSystemsofDifferentialEquations6359.9ThePhasePlaneforLinearAutonomousSystems6439.10NonlinearSystems6559.11ChapterReview66310TheLaplaceTransformandSomeElementaryApplications67010.1DefinitionoftheLaplaceTransform67010.2TheExistenceofthelaplacetransformandtheInversetransform67610.3PeriodicFunctionsandtheLaplacetransform68210.4ThetransformofderivativesandsolutionofInitial-Valueproblems68510.5TheFirstShiftingTheorem69010.6TheUnitStepFunction69510.7TheSecondShiftingTheorem69910.8ImpulsiveDrivingTerms:TheDiracDeltaFunction70610.9TheConvolutionIntegral71110.10ChapterReview71711SeriesSolutionstoLinearDifferentiaEquations72211.1AReviewofpowerseries72311.2SeriesSolutionsaboutanOrdinaryPoint73111.3TheLegendreEquation74111.4SeriesSolutionsaboutaRegularSingularPoint75011.5Frobeniustheory75911.6Bessel'sEquationofOrderp77311.7Chapterreview785ViContentsAReviewofComplexNumbers791BReviewofPartialFractions797CReviewofIntegrationTechniques804DLinearlyIndependentSolutionstox2y+xp(x)y+g(x)y=0811Answerstoodd-NumberedExercises814Index849S.W.GoodededicatesthisbooktomeganandtobiS.A.annindedicatesthisbooktoarthurandJuliannthebestparentsanyonecouldaskforPretraceLikethefirstthreeeditionsofDifferentialEquationsandLinearalgebra,thisfourtheditionisintendedforasophomorelevelcoursethatcoversmaterialinbothdifferentialequationsandlinearalgebra.Inwritingthistextwehaveendeavoredtodevelopthestudentsappreciationforthepowerofthegeneralvectorspaceframeworkinformulatingandsolvinglinearproblems.Thematerialisaccessibletoscienceandengineeringstu-dentswhohavecompletedthreesemestersofcalculusandwhobringthematurityofthatsuccesswiththemtothiscourseThistextiswrittenaswewouldnaturallyteachblendinganabundanceofexamplesandillustrations,butnotattheexpenseofadeliberateandrigoroustreatment.MostresultsareprovenindetailHowever,manyofthesecanbeskippedinfavorofamoreproblem-solvingorientedapproachdependingonthereader'sobjectives.Somereadersmayliketoincorporatesomeformoftechnology(computeralgebrasystem(CAS)orgraphingcalculator)andthereareseveralinstancesinthetextwherethepoweroftechnologyisillustratedusingtheCasMaple.Furthermore,manyexercisesetshaveproblemsthatrequiresomeformoftechnologyfortheirsolutionTheseproblemsaredesignatedwithaoIndevelopingthefourtheditionwehaveoncemorekeptmaximumflexibilityofthematerialinmind.Insodoing,thetextcaneffectivelyaccommodatethedifferentemphasesthatcanbeplacedinacombineddifferentialequationsandlinearalgebracourse,thevaryingbackgroundsofstudentswhoenrollinthistypeofcourse,andthefactthatdifferentinstitutionshavedifferentcreditvaluesforsuchacourse.Thewholetextcanbecoveredinafivecredit-hourcourse.Forcourseswithalowercredit-hourvalue,someselectivitywillhavetobeexercised.Forexample,much(orall)ofChapterImaybeomittedsincemoststudentswillhaveseenmanyofthesedifferentialequationstopicsinanearliercalculuscourse,andtheremainderofthetextdoesnotdependonthetechniquesintroducedinthischapter.Alternatively,whileoneofthemajorgoalsofthetextistointerweavethematerialondifferentialequationswiththetoolsfromlinearalgebrainasymbioticrelationshipasmuchaspossible,thecorematerialonlinearalgebraisgiveninChapters2-7sothatitispossibletousethisbookforacoursethatfocusessolelyonthelinearalgebrapresentedinthesesixchapters.ThematerialondifferentialequationsiscontainedprimarilyinChapters1and8-1l,andreaderswhohavealreadytakenafirstcourseinlinearalgebracanchoosetoproceeddirectlytothesechaptersThereareothermeansofeliminatingsectionstoreducetheamountofmaterialtobecoveredinacourse.Section2.7containsmaterialthatisnotrequiredelsewhereinthetext,Chapter3canbecondensedtoasinglesection(Section3.4)forreadersneedingonlyacursoryoverviewofdeterminants,andSections4.7,5.4,andthelatersectionsofChapters6and7couldallbereservedforasecondcourseinlinearalgebra.InChapter8Sections8.4,8.8,and8.9canbeomitted,and,dependingonthegoalsofthecourse,Sections8.5and8.6couldeitherbede-emphasizedoromittedcompletelySimilarremarksapplytoSections9.7-9.10.AtCaliforniaStateUniversity,Fullertonwehaveafourcredit-hourcourseforsophomoresthatisbasedaroundthematerialinChapters1-9viiiPrefaceMajorChangesintheFourthEditionSeveralsectionsofthetexthavebeenmodifiedtoimprovetheclarityofthepresentationandtoprovidenewexamplesthatreflectinsightfulillustrationswehaveusedinourowncoursesatCaliforniaStateUniversity,Fullerton.OthersignificantchangeswithinthetextarelistedbeleOW1.ThechapteronvectorspacesinthepreviouseditionhasbeensplitintotwochaptersChapters4and5)inthepresentedition,inordertofocusseparateattentiononvectorspacesandinnerproductspaces.Theshorterlengthofthesetwochaptersisalsointendedtomakeeachofthemlessdaunting2.Thechapteroninnerproductspaces(Chapter5)includesanewsectionprovidinganapplicationoflinearalgebratothesubjectofleastsquaresapproximation3.Thechapteronlineartransformationsinthepreviouseditionhasbeensplitintotwochapters(Chapters6and7)inthepresentedition.Chapter6isfocusedonlineartransformations,whileChapter7placesdirectemphasisonthetheoryofeigenvaluesandeigenvectors.Oncemore,readersshouldfindtheshorterchapterscoveringthesetopicsmoreapproachableandfocused4.Mostexercisesetshavebeenenlargedorrearranged.Over3,000problemsarenowcontainedwithinthetext,andmorethan600concept-orientedtrue/falseitemsarealsoincludedinthetext5.Everychapterofthebookincludesoneormoreoptionalprojectsthatallowformorein-depthstudyandapplicationofthetopicsfoundinthetext6.ThebackofthebooknowincludestheanswertoeveryTrue-FalsereviewitemcontainedinthetextAcknowledgmentsWewouldliketoacknowledgethethoughtfulinputfromthefollowingreviewersofthefourthedition:JameyBassofCityCollegeofSanFrancisco,TamarFriedmannofUniversityofrochester,andlinghaiZhangofLehighUniversityAlloftheircommentswereconsideredcarefullyinthepreparationofthetextS.A.Annin:Ioncemorethankmyparents,ArthurandJuliannAnnin,fortheirloveandencouragementinallofmyprofessionalendeavors.Ialsogratefullyacknowledgethemanystudentswhohavetakenthiscoursewithmeovertheyearsand,insodoinghaveenhancedmyloveforthesetopicsanddeeplyenrichedmycareerasaprofessorFirst-OrderDifferentiaEquations1.1DifferentialEquationsEverywhereadifferentialequationisanyequationthatinvolvesoneormorederivativesofanunknownfunction.Forexample(1.1.1dxds(S-1)(1.1.2)aredifferentialequations.Inthedifferentialequation(1.1.1)theunknownfunctionordependentvariableisy,andxistheindependentvariable;inthedifferentialequation(1.1.2)thedependentandindependentvariablesareSandt,respectively.Differentialequationssuchas(1.1.1)and(1.1.)inwhichtheunknownfunctiondependsonlyonasingleindependentvariablearecalledordinarydifferentialequations.Bycontrast,thedifferentialequationLaplace'sequation)0involvespartialderivativesoftheunknownfunctionu(x,y)oftwoindependentvariablesxandy.SuchdifferentialequationsarecalledpartialdifferentialequationsOnewayinwhichdifferentialequationscanbecharacterizedisbytheorderofthehighestderivativethatoccursinthedifferentialequationThisnumberiscalledtheorderofthedifferentialequation.Thus,(l1.1)hasordertwo,whereas(1.1.2)isafirst-orderdifferentialequation1

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

matlab函数，包括：复化梯形公式复化Simpson公式复化四阶Newton-Cotes公式Romberg积分法Gauss-Legendre积分Gauss-Chebyshev积分Gauss-Laguerre积分Gauss-Hermite积分及以上四个正交多项式的生成函数

高斯-勒让德积分（Gauss-legendre积分）matlab程序可直接在函数名前设置输出为[x,w]=其中x为积分点，w为权重

C#inDepth,FourthEditionisyourkeytounlockingthepowerfulnewfeaturesaddedtothelanguageinC#5,6,and7.FollowingtheexpertguidanceofC#legendJonSkeet,you’llmasterasynchronousfunctions,expression-bodiedmembers,interpolatedstrings,tuples,andmuchmore.Thepowerful,flexibleC#programminglanguageisthefoundationof.NETdevelopment.Evenaftertwodecadesofsuccess,it’sstillgettingbetter!ExcitingnewfeaturesinC#6and7makeiteasierthanevertotakeonbigdataapplications,cloud-centricwebdevelopment,andcross-platformsoftwareusing.NETCore.There’sneverbeenabettertimetolearnC#indepth.C#inDepth,FourthEditionisarevisededitionofthebestsellerwrittenbyC#legendJonSkeet.Thisauthoritativeandengagingguideisyourkeytounlockingthispowerfullanguage,includingthenewfeaturesofC#6and7.Init,Jonintroducesexpression-bodiedmembers,interpolatedstrings,patternmatching,andmore.Real-worldexamplesdriveitallhome.Bytheendofthisawesomebook,you’llbewritingC#codewithskill,style,andconfidence.

壁纸和现场背景WALLOOPPRIMEWalloopPrime-没有广告的最好的动态壁纸应用程序，总是更新！最后很酷的动态壁纸，不会耗尽你的电池电量！动态壁纸高清，AMOLED动态壁纸，动态壁纸3D4k，静态壁纸等等......立即改善您的手机！Walloop是一系列手机壁纸，带有4K动画GIF/视频等等......创新类别：▫️LIVE壁纸▫️AMOLEDLIVEWALLPAPERS（第一部电池消耗低的动态壁纸，全高清动态壁纸3D）▫️摘要和3D▫️AERIALVIEW（地球视图，卫星，无人机）▫️AMOLED（SuperAMOLED，Oled）▫️动物▫️ARTWORKS▫️BOUR＆BOKEH▫️DARK（黑色壁纸，深色背景）▫️KVANTUMPHANTAZY▫️LOWPOLY（3dFractals）▫️LEGENDS（动漫，超级英雄，电视剧）▫️材料▫️极小▫️MISC▫️山▫️POLYSCAPES▫️台词▫️SCENIC（自然和城市）▫️SPACE＆UNIVERSE▫️TEXTURE▫️TILTSHIFT▫️VAPORWAVE＆GLITCH▫️YOSEMITE

Matlab函数；
帮助绘制多列的图例；
原文件地址：https://ww2.mathworks.cn/matlabcentral/fileexchange/27389-simonhenin-columnlegend

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。