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  • 道理特分解法

    #include "iostream" using namespace std; class Matrix { private: double** A; //矩阵A double *b; //向量b public: int size; Matrix(int ); ~Matrix(); friend double* Dooli(Matrix& ); void Input(); void Disp(); }; Matrix::Matrix(int x) { size=x; //为向量b分配空间并初始化为0 b=new double [x]; for(int j=0;j<x;j++) b[j]=0; //为向量A分配空间并初始化为0 A=new double* [x]; for(int i=0;i<x;i++) A[i]=new double [x]; for(int m=0;m<x;m++) for(int n=0;n<x;n++) A[m][n]=0; } Matrix::~Matrix() { cout<<"正在析构中~~~~"<<endl; delete b; for(int i=0;i<size;i++) delete A[i]; delete A; } void Matrix::Disp() { for(int i=0;i<size;i++) { for(int j=0;j<size;j++) cout<<A[i][j]<<" "; cout<<endl; } } void Matrix::Input() { cout<<"请输入A:"<<endl; for(int i=0;i<size;i++) for(int j=0;j<size;j++){ cout<<"第"<<i+1<<"行"<<"第"<<j+1<<"列:"<<endl; cin>>A[i][j]; } cout<<"请输入b:"<<endl; for(int j=0;j<size;j++){ cout<<"第"<<j+1<<"个:"<<endl; cin>>b[j]; } } double* Dooli(Matrix& A) { double *Xn=new double [A.size]; Matrix L(A.size),U(A.size); //分别求得U,L的第一行与第一列 for(int i=0;i<A.size;i++) U.A[0][i]=A.A[0][i]; for(int j=1;j<A.size;j++) L.A[j][0]=A.A[j][0]/U.A[0][0]; //分别求得U,L的第r行,第r列 double temp1=0,temp2=0; for(int r=1;r<A.size;r++){ //U for(int i=r;i<A.size;i++){ for(int k=0;k<r-1;k++) temp1=temp1+L.A[r][k]*U.A[k][i]; U.A[r][i]=A.A[r][i]-temp1; } //L for(int i=r+1;i<A.size;i++){ for(int k=0;k<r-1;k++) temp2=temp2+L.A[i][k]*U.A[k][r]; L.A[i][r]=(A.A[i][r]-temp2)/U.A[r][r]; } } cout<<"计算U得:"<<endl; U.Disp(); cout<<"计算L的:"<<endl; L.Disp(); double *Y=new double [A.size]; Y[0]=A.b[0]; for(int i=1;i<A.size;i++ ){ double temp3=0; for(int k=0;k<i-1;k++) temp3=temp3+L.A[i][k]*Y[k]; Y[i]=A.b[i]-temp3; } Xn[A.size-1]=Y[A.size-1]/U.A[A.size-1][A.size-1]; for(int i=A.size-1;i>=0;i--){ double temp4=0; for(int k=i+1;k<A.size;k++) temp4=temp4+U.A[i][k]*Xn[k]; Xn[i]=(Y[i]-temp4)/U.A[i][i]; } return Xn; } int main() { Matrix B(4); B.Input(); double *X; X=Dooli(B); cout<<"~~~~解得:"<<endl; for(int i=0;i<B.size;i++) cout<<"X["<<i<<"]:"<<X[i]<<" "; cout<<endl<<"呵呵呵呵呵"; return 0; } 

    标签: 道理特分解法

    上传时间: 2018-05-20

    上传用户:Aa123456789

  • 驱动器123

    ble Logic Controller,可编程逻辑控制器,一种数字运算操作的电子系统,专为在工业环境应用而设计的。它采用一类可编程的存储器,用于其内部存储程序,执行逻辑运算,顺序控制,定时,计数与算术操作等面向用户的指令,并通过数字或模拟式输入/输出控制各种类型的机械或生产过程。是工业控制的核心部分。   另外PLC还有以下几个名称:   PLC = Power Line Communication,电力线通信,即我们俗称的“电力线上网”。   PLC = Public Listed Co

    标签: 驱动器

    上传时间: 2018-06-27

    上传用户:454545

  • c++从入门到精通.pdf电子书 第二版

    我们编写的程序由两个主要方面组成 1 算法的集合就是将指令组织成程序来解决某个特定的问题 2 数据的集合算法在这些数据上操作以提供问题的解决方案 纵观短暂的计算机发展史这两个主要方面算法和数据一直保持不变发展演化的 是它们之间的关系就是所谓的程序设计方法programming paradigm 在过程化程序设计方法procedural programming 中一个问题可直接由一组算法来建 立模型例如公共图书馆的资料借阅/登记check out/check in 系统是由一系列过程表现 出来的其中两个主要的过程是资料的借阅和登记这些数据被独立存储起来我们既可以 在某个全局位置上访问这些数据或者把数据传递给过程以便它能够访问这些数据Fortran C 和 Pascal 是三种著名的过程语言C++也支持过程化程序设计单独的过程如check_in() check_out() over_due() fine()等等都被称为函数第三篇将集中讨论C++对过程化程序 设计方法的支持尤其将重点讨论函数函数模板和通用算法 在20 世纪70 年代程序设计的焦点从过程化程序设计方法转移到了抽象数据类型 abstract data type 简写为ADT 的程序设计上现在通常称之为基于对象(object based 的程序设计在基于对象的程序设计方法中我们通过一组数据抽象来建立问题的模型在 C++中我们把这些抽象称为类class 例如在这种方法下图书馆资料借阅登记系统就 由类的对象实例比如书借阅者还书时间罚款等之间的相互作用表现出来以此表 示出图书馆的抽象概念与每个类相关的算法被称为该类的公有接口public interface 数 据以私有形式被存储在每个对象中对数据的访问应与一般的程序代码隔离开来CLU Ada 和Modula-2 是三种支持抽象数据类型的程序设计语言第四篇将说明和讨论C++对抽象数据 类型程序设计方法的支持 面向对象的程序设计方法通过继承inheritance 机制和动态绑定dynamic binding 机 制扩展了抽象数据类型继承机制是对现有实现代码的重用动态绑定是指对现有的公有接 口的重用以前独立的类型现在有了类型/子类型的特定关系一本书一盒录像带一段录 音甚至孩子的宠物尽管它们有各自的借阅/登记方式但都可以成为图书馆的收藏资料 共享的公有接口和私有的数据都放在一个抽象类图书馆资料LibraryMaterial 中每个特 殊的图书馆资料类都从LibraryMaterial 抽象类继承共享的行为它们只需要提供与自身行为相 关的算法和数据Simula Smalltalk 和Java 是三种支持面向对象程序设计方法的著名语言 第五篇将集中讨论C++对面向对象程序设计方法的支持 C++是一种支持多种程序设计方法的语言虽然我们主要把它当作面向对象的语言但 实际上它也提供对过程化的和基于对象的程序设计方法的支持这样做的好处是对每个问题 都能够提供最合适的解决方案事实上没有一种程序设计方法能够

    标签: c++从入门到精通.pdf电子书 第二版

    上传时间: 2019-01-30

    上传用户:jizhi111

  • Enablers for Smart Cities

    The concept of smart cities emerged few years ago as a new vision for urban development that aims to integrate multiple information and communication technology (ICT) solutions in a secure fashion to manage a city’s assets. Modern ICT infrastructure and e-services should fuel sustainable growth and quality of life, enabled by a wise and participative management of natural resources to be ensured by citizens and government. The need to build smart cities became a requirement that relies on urban development that should take charge of the new infrastructures for smart cities (broadband infrastructures, wireless sensor networks, Internet-based networked applications, open data and open platforms) and provide various smart services and enablers in various domains including healthcare, energy, education, environmental management, transportation, mobility and public safety.

    标签: Enablers Cities Smart for

    上传时间: 2020-05-25

    上传用户:shancjb

  • Artificial+Intelligence

    The current methods of communications are becoming less relevant under today’s growing demand for and reliance on constant connectivity. Of decreasing relevance are the models of a single radio to perform a single task. The expansion of wireless access points among coffee shops, airports, malls, and other public arenas is opening up opportunities for new services and applications.

    标签: Intelligence Artificial

    上传时间: 2020-05-26

    上传用户:shancjb

  • Complex Orthogonal Space-Time Processing

    Multiple-Input Multiple-Output (MIMO) systems have recently been the subject of intensive consideration in modem wireless communications as they offer the potential of providing high capacity, thus unleashing a wide range of applications in the wireless domain. The main feature of MIMO systems is the use of space-time processing and Space-Time Codes (STCs). Among a variety of STCs, orthogonal Space-Time Block Codes (STBCs) have a much simpler decoding method, compared to other STCs

    标签: Orthogonal Space-Time Processing Complex

    上传时间: 2020-05-26

    上传用户:shancjb

  • Digital Processing Optical Transmission

    Optical communication technology has been extensively developed over the last 50 years, since the proposed idea by Kao and Hockham [1]. However, only during the last 15 years have the concepts of communication foundation, that is, the modulation and demodulation techniques, been applied. This is pos- sible due to processing signals using real and imaginary components in the baseband in the digital domain. The baseband signals can be recovered from the optical passband region using polarization and phase diversity tech- niques, as well as technology that was developed in the mid-1980s.

    标签: Transmission Processing Digital Optical

    上传时间: 2020-05-27

    上传用户:shancjb

  • EDGE+for+Mobile+Internet

    The General Packet Radio Service (GPRS) allows an end user to send and receive data in packet transfer mode within a public land mobile network (PLMN) without using a permanent connection between the mobile station (MS) and the external network during data transfer. This way, GPRS opti- mizes the use of network and radio resources (RRs) since, unlike circuit- switched mode, no connection between the MS and the external network is established when there is no data flow in progress. Thus, this RR optimiza- tion makes it possible for the operator to offer more attractive fees.

    标签: Mobile EDGE

    上传时间: 2020-05-27

    上传用户:shancjb

  • High-Frequency Oscillator Design

    OSCILLATORS are key building blocks in integrated transceivers. In wired and wireless communication terminals, the receiver front-end selects, amplifies and converts the desired high-frequency signal to baseband. At baseband the signal can then be converted into the digital domain for further data processing and demodula- tion. The transmitter front-end converts an analog baseband signal to a suitable high- frequency signal that can be transmitted over the wired or wireless channel. 

    标签: High-Frequency Oscillator Design

    上传时间: 2020-05-27

    上传用户:shancjb

  • Hybrid+Analog-Digital+Precoding

    In this paper we revisit hybrid analog-digital precoding systems with emphasis on their modelling and radio-frequency (RF) losses, to realistically evaluate their benefits in 5G system implementations. For this, we decompose the analog beamforming networks (ABFN) as a bank of commonly used RF components and formulate realistic model constraints based on their S-parameters. Specifically, we concentrate on fully-connected ABFN (FC-ABFN) and Butler networks for implementing the discrete Fourier transform (DFT) in the RF domain. The results presented in this paper reveal that the performance and energy efficiency of hybrid precoding systems are severely affected, once practical factors are considered in the overall design. In this context, we also show that Butler RF networks are capable of providing better performances than FC-ABFN for systems with a large number of RF chains.

    标签: Analog-Digital Precoding Hybrid

    上传时间: 2020-05-27

    上传用户:shancjb