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《统计信号处理基础-估计与检测理论》课本及课后答案，课后答案为Kay手写

Spark开发指南.pdf本书参考Spark官方文档和源码，通过本书你将精通Spark的安装、配置、开发、监控和调优。Apache SparkSpark是伯克利 APMLab实验室精心打造的,力图在算法( Algorithms)、机器( Machines)、人( People)之间通过大规模集成,来展现大数据应用旳一个平台,其核心引擎就是 Spark,其计算基础是弹性分布式数据集,也就是RDD。通过Spark, MPLab运用大数据、云计算、通信等各种源,以及各种灵活的技术方案,对海量不透明的数据进行甄別并转化为有用的信息,以供人们更好的理解世界。 Spark已经涉及到机器学习、数据挖掘、数据库、信息检索、自然语言处理和语音识别等多个领域。Sparp ecological environment陡着 spark的日趋完善, Spark以其优异的性能正逐渐成为下一个业界和学术界的开源大数据处理平台。随着 Spark1.1.0的发布和 Spark生态圈的不断扩大,可以预见在今后的一段吋间内, Spark将越来越火热。spak生态圈以Spa为核心引擎,以HDFS、S3、 Tachyon为持久层读写原生数据,以 Mesos、YARN和自身携带的Standalone作为资源管理器调度job,来完成spak应用程序的计算;而这些spak应用程序可以来源于不同的组件,如 Spark的批处理应用、 Spark Streaming的实时处理应用、 Spark sρL的即席查询、 BlinkDB的权衝查询、MLib或 MLbase的机器学习、 GraphX的图处理等等。更多的新信息请参看伯克利 APMLab实验室的项目进展htps:/ mplab. cS. berkeley. edu/projects或者 Spark峰会信息htp:/ spark-summit org。Spark Spark MLlib GraphXSQL Streaming(machine(graph)learningApache SparkSparkSpark是一个快速的通用大规模数据丛理系统,和 Hadoop MapReduce相比更好的容锆性和内存计算高速,在内存中运算100倍速度于 MapReduce易用,相同的应用程序代码量要比 MapReduce少25倍提供了丰富的AP支持互动和迭代程序Spark大数据平台之所以能日渐红火,得益于 Spark内核架构的优秀·提供了支持DAG图的分布式并行计算框架,减少多次计算之间中间结果O开销·提供 Cache机制来支持多次迭代计算或者数据共享,减少开销*·RDD之间维护了血统关系,一旦 RDD fail掉了,能通过父RDD自动重建,保证了容错性·, RDD Partition可以就近读取分布式文件系统中的数据块到各个节点内存中进行计算使用多线程池模型来减少task启动开稍shuffle过程中避免不必要的sor操作采用容错的、高可伸缩性的aka作为通讯框架SparkStreamingSparkstreaming是一个对实时数据流进行高通量、容锴处理的流式处理系统,可以对多种数据源(如Kdka、Fume、Twitter、zero和TCP套接字)进行类似map、 reduce、join、 window等复杂操作,并捋结果保存到外部文件系统、数据库或应用到实时仪表盘Sparkstreaming流式必理系统特点有捋流式计算分解成一系列短小的批处理作业将失败或者执行校慢的任务在其它节点上并行执行较强的容错能力(基于RDD继承关系 Lineage)使用和RDD一样的语义Spark SQLSpark SQL是一个即席查询系统,可以通过SQL表达式、 HiveQL或者 Scala dsl在 Spark上执行查询。Spark SQL的特点·引人了新的RDD类型 SchemaRDD,可以象传统数据库定义表一样来定义 SchemaRDD, SchemaRDD由定义了列数据类型的行对象构成。· SchemaRDD可以从RDD转换过来,也可以从 Parquet文件读入,也可以使用 Hive QL从Hve中获取·在应用程序中可以混合使用不同来源的数据,如可以将来自 HiveQL的数据和来自sQL的数据进行jn操作。·内嵌 catalys优化器对用户查询语句进行自动优化MLlibMLib是Spak实现一些常见的机器学习算法和实用程序,包括分类,回归,聚类,协同过滤,降维,以及底层GraphXGraphX是基于 Spark的图处理和图并行计算AP。 GraphX定义了一个新的概念:弹性分布式属性图,一个每个顶点和边都带有属性的定向多重图;并引人了三种核心RDD: Vertices、 Edges、 Triplets;还开放了一组基本操作(如 subgraph,joinvertices, and mapReduce Triplets),并且在不断的扩展图形算法和图形构建工具来筒化图分析工作生态圈的应用Spark生态圈以 Spark为核心、以RDD为基础,打造了一个基于内存DAG计算的大数据平台,为人们提供了一栈式的数据处理方奚。人们可以根据不同的汤景使月主要应用场景用户曲像的建立用户异常行为的发现社交网络关系洞察用户定向商品、活动推荐spak运维相关安装配置、监控等,请求参考《 Spark运维实战》graphiteum install -y bitmap bitmap-fonts-compat Django django-tagging fontconfig cairo python-devel python-memcachedpython-twisted pycairo mod python python-Idap python-simplejson memcached python-zope-interface mod wsgipython-sqlite2Spark BaseSpark开发环境Spark本身是由 scala语言开发的,提供了三种语雷接口: Scala、Java、 Python。根据自己的喜好可以使用相应语言的开发工具。本书使用 scala语言做为开发Spak应用的语,采用 Eclipse为主要的开发工具主要介绍了两个流行的开发工貝: Eclipse、 Intell IDEA。JDK安装配置下载官方网址:htp/www.oracle.com/technetwork/javaljavase/downloads/jdk7-downloads-1880260hml选择好操作系统版本,32位操作采统选择带j586的安装文件;64位操作系统选择菅×64的安装文件。Linux操作系统推荐下载 tar. gz格式的安装文件, Window当然也只有exe格式的文件。Linux下安装解压tar -zxvf jdk-7ug-linux-1586. tar. gz-C/opt/In-/opt/jdk170_09 /opt/jdk设置环境变量用ⅵ编辑配置文件:/etc/ profileexport JAVA HOME=/ pt/jdkexport CLASSPATH=$JAVA HOME/lib/dt jar: SJAVA HOME/lib/tools. jarexport PATH= $JAVA HOME/bin: s PATH保存退出按Esc然后输入Wq使配置生效source /etc/profileWindows下安装选择好操作系统版本是32还是64,解压双击进行安装一路下一步,便可安装成功。设置环境变量测试是否成功命合行输人Java -versIon如果出现下面提示说明成功

【实例简介】课堂作业，C++开发的OPENGL立方体，有光照，支持鼠标拖拽和键盘按键响应，希望对大家有帮助

【实例简介】PSCAD 12相可控整流电路，一次绕组为星形连接，二次绕组第一个绕组为星形连接，第二个为三角形连接

K均值算法：调用模糊聚类库函数kmeansPso粒子群聚类程序：没有最优解，多次迭代基于模拟退火的k均值聚类：可以有最优解基于pso的k均值算法：有最优解，根据适应度判断，适应度越小，分类效果越好

QT下线程实时抓包并libnet发送数据包，Libcpap，做了解析和IP地址解析，SQLITE数据库存储获取的数据包,

资源包括图像处理相位一致性检测matlab源代码，并附带图片，可直接运行，也包括了与拉普拉斯算子边缘检测的比较

原创，根据官方的英文开发文档，加上作者反复实践、试验，得出的Creo（原名ProE）二次开发技术

WPF 3D动画实例。结合最新的机器人控制技术，使用3D场景模拟机器人的动作轨迹。本例旨在模拟机器人运动控制的内在机制。温馨提示：学习本例需要一定的数学基础。没有基础也没关系，示例中给出了较为详尽的解释。想要直接查看示例效果，直接运行".../bin/kuka.exe"。 祝你生活愉快！

Concepts in Programming Languages by John Mitchell.一本国外经典教材，看了之后对编程语言更加理解。费了很多劲才找到的。Concepts in Programming LanguagesThis textbook for undergraduate and beginning graduate students explains and examines the central concepts used in modern programminglanguages, such as functions, types, memory management, and controlThe book is unique in its comprehensive presentation and comparisonof major object-oriented programming languages. Separate chapters ex-amine the history of objects, Simula and Smalltalk, and the prominentanguages c++ and JavaThe author presents foundational topics, such as lambda calculus anddenotational semantics, in an easy-to-read, informal style, focusing on themain insights provided by these theories. Advanced topics include concurrency and concurrent object-oriented programming. A chapter on logicprogramming illustrates the importance of specialized programming meth-ods for certain kinds of problemsThis book will give the reader a better understanding of the issuesand trade-offs that arise in programming language design and a betterappreciation of the advantages and pitfalls of the programming languagesthey useJohn C. mitchell is Professor of Computer Science at Stanford University,where he has been a popular teacher for more than a decade. Many of hisformer students are successful in research and private industry. He received his ph D. from mit in 1984 and was a member of technical staff atat&T Bell Laboratories before joining the faculty at Stanford. Over thepast twenty years, Mitchell has been a featured speaker at internationalconferences; has led research projects on a variety of topics, includingprogramming language design and analysis, computer security, and applications of mathematical logic to computer science; and has written morethan 100 research articles. His previous textbook, Foundations for Pro-gramming Languages(MIT Press, 1996), covers lambda calculus, typesystems, logic for program verification, and mathematical semantics ofprogramming languages. Professor Mitchell was a member of the programming language subcommittee of the ACM/ieEE Curriculum 2001standardization effort and the 2002 Program Chair of the aCm principlesof programming languages conferenceCONCEPTS NPROGRAMMINGLANGUAGESJohn c. mitchellStanford UniversityCAMBRIDGEUNIVERSITY PRESSPUBLISHED BY THE PRESS SYNDICATE OF THE UNIVERSITY OF CAMBRIDGEThe Pitt Building, Trumpington Street, Cambridge, United KingdomCAMBRIDGE UNIVERSITY PRESSThe Edinburgh Building, Cambridge CB2 2RU, UK40 West 20th Street, New York, NY 10011-4211 USA477 Williamstown Road, Port Melbourne vic 3207, AustraliaRuiz de alarcon 13, 28014 Madrid, spainDock House, The Waterfront, Cape Town 8001, South Africahttp://www.cambridge.orgo Cambridge university press 2004First published in printed format 2002isBN 0-511-03492-X eBook(adobe readerISBN 0-521-78098-5 hardbackContentsPrefacepage IxPart 1 functions and foundations1 Introduction1.1 Programming Languages1.2 Goals1.3 Programming Language History3561.4 Organization: Concepts and Languages2 Computability2. 1 Partial Functions and computability102.2 Chapter SummaryExercises163 Lisp: Functions, Recursion, and Lists3.1 Lisp History183.2 Good Language design203. 3 Brief Language overview223.4 Innovations in the Design of Lisp253.5 Chapter Summary: Contributions of LispExercises404 Fundamentals484.1 Compilers and syntax484.2 Lambda calculus4.3 Denotational semantics4.4 Functional and Imperative Languages4.5 Chapter SummaryExercisesContentsPart 2 Procedures, Types, Memory Management, and Control5 The algol Family and ML5.1 The Algol Family of Programming Languages5.2 The Development of C5.3 The LCF System and ml5.4 The Ml Programming Language1035.5 Chapter summary121Exercises1226 Type Systems and Type Inference1296.1 Types in Programming1296.2 Type Safety and Type Checking1326.3 Type Inference1356.4 Polymorphism and Overloadin1456.5 Type Declarations and Type Equality1516.6 Chapter Summary155Exercises1567 Scope, Functions, and storage Management1627.1 Block-Structured Languages1627.2 In-Line blocks1657.3 Functions and procedures1707.4 Higher-Order functions1827.5 Chapter summary190Exercises1918 Control in Sequential Languages2048.1 Structured control2048.2 Exceptions2078.3 Continuations2188.4 Functions and evaluation order2238.5 Chapter summary227Exercises8Part 3 Modularity, Abstraction, and object-Oriented Programming9 Data Abstraction and Modularity2359.1 Structured Programming2359.2 Language Support for Abstraction2429.3 Modules9.4 Generic Abstractions2599.5 Chapter Summary269Exercises27110 Concepts in Object-Oriented Languages27710.1 Object-Oriented design27710.2 Four Basic concepts in object-Oriented languages278Contents10.3 Program Structure28810.4 Design Patterns29010.5 Chapter summary29210.6 Looking Forward: Simula, SmalltalkC++Java293Exercises29411 History of objects: Simula and smalltalk30011.1 Origin of Objects in Simula30011.2 Objects in Simula30311.3 Subclasses and Subtypes in Simula30811.4 Development of smalltalk31011.5 Smalltalk Language features31211.6 Smalltalk flexibilit31811.7 Relationship between Subtyping andInheritance2211.8 Chapter SummaryExercises32712 objects and Run-Time Efficiency: C++33712.1 Design goals and Constraints33712.2 Overview of c++34012.3 Classes. Inheritance and Virtual functions34612.4 Subtyping35512.5 Multiple inheritance12.6 Chapter summary366Exercises36713 Portability and Safety: Java38413.1 Java language overview38613.2 Java Classes and Inheritance38913.3 Java Types and Subtyping39613.4 Java System architecture40413.5 Security Features41213.6 Java summary417Exercises420Part 4 Concurrency and Logic Programming14 Concurrent and Distributed Programming43114.1 Basic Concepts in Concurrency43314.2 The actor model44114.3 Concurrent ML14.4 Java concurrency45414.5 Chapter Summary466Exercises469Contents15 The Logic Programming Paradigm and Prolog47515. 1 History of logic Programming15.2 Brief Overview of the logic Programming Paradigm4715. 3 Equations solved by Unification as Atomic Actions15.4 Clauses as Parts of procedure declarations48215.5 Prologs Approach to Programming48615.6 Arithmetic in Prolog49215.7 Control, Ambivalent Syntax, and Meta-Variables49615.8 Assessment of Prolog50515.9 Bibliographic remarks50715.10 Chapter Summary507Appendix a Additional Program Examples509A 1 Procedural and Object-Oriented organization509Glossary521Index525