三相锁相环PLLmatlabsimulink基于s-functionbuilder编写

Thispaperisasurveyofthetheoryandmethodsofphotogrammetricbundleadjustment,aimedatpotentialimplementorsinthecomputervisioncommunity.Bundleadjustmentistheproblemofrefiningavisualreconstructiontoproducejointlyoptimalstructureandviewingparameterestimates.Topicscoveredinclude:thechoiceofcostfunctionandrobustness;numericaloptimizationincludingsparseNewtonmethods,linearlyconvergentapproximations,updatingandrecursivemethods;gauge(datum)invariance;andqualitycontrol.Thetheoryisdevelopedforgeneralrobustcostfunctionsratherthanrestrictingattentiontotraditionalnonlinearleastsquares.

聚类分析不要忘记在pom.xml中添加“json-simple”作为项目的依赖在运行程序之前，将开源物理库导入项目（）要创建导入文件，请调用randomDataGenerator.js脚本var1是导入文件的标题（例如dataFile）var2是集群节点的数量（例如25）var3是概率（例如0.3）如果运行初始化而不导入数据文件，它将在变量中生成具有指定计数和边沿概率的随机点个人实验结果我已经从项目中创建了数据文件，节点是方法，边缘是函数调用。
初始状态描述在./SampleData/Analysis_Functions.txt文件中，固定的数据文件是./SampleData/analysis.json这是集群的初始状态这是形成的团簇./SampleData/Analysis_Cluster.txt文件中的文本形式也描述了群集

MATLAB的S-Function编写指导。
比较好的一个资料

Deeplearningsimplifiedbytakingsupervised,unsupervised,andreinforcementlearningtothenextlevelusingthePythonecosystemTransferlearningisamachinelearning(ML)techniquewhereknowledgegainedduringtrainingasetofproblemscanbeusedtosolveothersimilarproblems.Thepurposeofthisbookistwo-fold;firstly,wefocusondetailedcoverageofdeeplearning(DL)andtransferlearning,comparingandcontrastingthetwowitheasy-to-followconceptsandexamples.Thesecondareaoffocusisreal-worldexamplesandresearchproblemsusingTensorFlow,Keras,andthePythonecosystemwithhands-onexamples.ThebookstartswiththekeyessentialconceptsofMLandDL,followedbydepictionandcoverageofimportantDLarchitecturessuchasconvolutionalneuralnetworks(CNNs),deepneuralnetworks(DNNs),recurrentneuralnetworks(RNNs),longshort-termmemory(LSTM),andcapsulenetworks.Ourfocusthenshiftstotransferlearningconcepts,suchasmodelfreezing,fine-tuning,pre-trainedmodelsincludingVGG,inception,ResNet,andhowthesesystemsperformbetterthanDLmodelswithpracticalexamples.Intheconcludingchapters,wewillfocusonamultitudeofreal-worldcasestudiesandproblemsassociatedwithareassuchascomputervision,audioanalysisandnaturallanguageprocessing(NLP).Bytheendofthisbook,youwillbeabletoimplementbothDLandtransferlearningprinciplesinyourownsystems.WhatyouwilllearnSetupyourownDLenvironmentwithgraphicsprocessingunit(GPU)andCloudsupportDelveintotransferlearningprincipleswithMLandDLmodelsExplorevariousDLarchitectures,includingCNN,LSTM,andcapsulenetworksLearnaboutdataandnetworkrepresentationandlossfunctionsGettogripswithmodelsandstrategiesintransferlearningWalkthroughpotentialchallengesinbuildingcomplextransferlearningmodelsfromscratchExplorereal-worldresearchproblemsrelatedtocompute

FunctionalReactiveProgrammingOniOS,FunctionalreactiveprogrammingintroductionusingReactiveCocoa中文译本

StartingOutwithPython,GlobalEditionBy作者:TonyGaddis(author)ISBN-10书号:1292225750ISBN-13书号:9781292225753Edition版本:4thedition出版日期:2018-04-20Pages:748ForcoursesinPythonprogramming.Aclearandstudent-friendlyintroductiontothefundamentalsofPythonInStartingOutwithPython,4thEdition,TonyGaddis’accessiblecoverageintroducesstudentstothebasicsofprogramminginahigh-levellanguage.Python,aneasy-to-learnandincreasinglypopularobject-orientedlanguage,allowsreaderstobecomecomfortablewiththefundamentalsofprogrammingwithoutthetroublesomesyntaxthatcanbechallengingfornovices.WiththeknowledgeacquiredusingPython,studentsgainconfidenceintheirskillsandlearntorecognizethelogicbehinddevelopinghigh-qualityprograms.StartingOutwithPythondiscussescontrolstructures,functions,arrays,andpointersbeforeobjectsandclasses.AswithallGaddistexts,clearandeasy-to-readcodelistings,conciseandpracticalreal-worldexamples,focusedexplanations,andanabundanceofexercisesappearineverychapter.Updatestothe4thEditionincluderevised,improvedproblemsthroughout,andnewTurtleGraphicssectionsthatprovideflexibilityasassignable,optionalmaterial.PrefaceChapter1IntroductiontoComputersandProgrammingChapter2Input,Processing,andOutputChapter3DecisionStructuresandBooleanLogicChapter4RepetitionStructuresChapter5FunctionsChapter6FilesandExceptionsChapter7ListsandTuplesChapter8MoreAboutStringsChapter9DictionariesandSetsChapter10ClassesandObject-OrientedProgrammingChapter11InheritanceChapter12RecursionChapter13GUlProgrammingAppendixAInstalingPythonAppendixBIntroductiontoIDLEAppendixCTheASCllCharacterSetAppendixDPredefinedNamedColorsAppendixEMoreAbouttheimportStatementAppendixFInstallingModuleswiththepipUtilityAppendixGAnswerstoCheckpoints

课程大纲每节课资料提前5天发放第1章本节大纲”破解“算法面试"Hack"theAlgorithmInterview算法面试究竟考什么史上最全的算法面试考点大全2013-2018面试难度变化如何在最有效率的准备算法面试如何在不押题的情况下更有信息的去面试2018/6/24上午9:30:00第2章本节大纲二分与LogN算法BinarySearch&LogNAlgorithm二分法三重境界二分位置之满足条件的第一次-BinarySearchonIndex-OOXX二分位置之保留一半-BinarSearchonIndex-Halfhalf二分答案-BinarySearchonResult学习BinarySearch的通用模板，不再死循环讲解SearchinRotatedSortedArray等10道高频二分搜索题2018/7/1上午9:30:00第3章本节大纲为面试而生的双指针算法TwoPointersAlgorithmTwoSum问题及他的各种扩展TwoSum&Follow-ups其他高频的双指针问题2018/7/2上午9:30:00第4章本节大纲宽度优先搜索和拓扑排序BFS&TopologicalSorting二叉树上的宽搜BFSinBinaryTree二叉树的序列化问题BinaryTreeSerialization图上的宽搜BFSinGraph拓扑排序TopologicalSorting棋盘上的宽搜BFSinChessboard2018/7/15上午9:30:00第5章本节大纲基于树的深度优先搜索Tree-basedDFS二叉树的深度优先遍历BinaryTreeDFSTraversal先序/中序/后序Preorder/inorder/postorder二叉树中的分治算法Divide&ConquerDFS模板IntroduceDFSTemplate二叉树高频面试问题递归三要素遍历算法与分治算法对比TraversevsDivideConquer2018/7/16上午9:30:00第6章本节大纲基于组合的深度优先搜索Combination-basedDFS组合类深搜CombinationDFS排列类深搜PermutationDFS图上的深搜GraphDFS非递归的深搜实现方法Non-Recursion2018/7/22上午9:30:00第7章本节大纲基于排列、图的深度优先搜索Permutation/GraphbasedDFSTBD2018/7/23上午9:30:00第8章本节大纲数据结构-栈，队列，哈希表与堆Stack,Queue,Hash&Heap哈希表Hash常用的哈希库的区别HashSetvsHashMapvsHashTable哈希表的实现原理BasicHashKnowledge哈希函数HashFunction冲突的解决方法Collision开散列OpenHashing闭散列ClosedHashing哈希扩容Rehashing哈希表高频面试题HighFrequentlyAskedHashQuestions堆堆的基本原理BasicHeapKnowledge优先队列与堆的联系和区别PriorityQueuevsHeap堆的高频面试题HighFrequentlyAskedHeapQuestions堆的代替品：TreeMap2018/7/29上午9:30:00第9章本节大纲数据结构-区间、数组、矩阵与树状数组Interval,Array,Matrix&BinaryIndexedTree数组Array子数组及相关面试题Subarray&RelatedQuestions其他高频数组问题HighFrequentAskedArrayQuestionsTBD2018/7/30上午9:30:00课程更新日志

bivar.f90blend.f90laranri.f90modified_quadratic_Shepard_method.f90Quadratic_Shepard_method.f90Radial_Basis_Function.f90splineinterpolation.f90双线性插值.f90

Edanmo'sOLEinterfaces&functionsv1.4找了很久才找到，特此与大家分享！

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。