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Quality-of-<b>SerVIce</b>

  • 【问题描述】 在一个N*N的点阵中

    【问题描述】 在一个N*N的点阵中,如N=4,你现在站在(1,1),出口在(4,4)。你可以通过上、下、左、右四种移动方法,在迷宫内行走,但是同一个位置不可以访问两次,亦不可以越界。表格最上面的一行加黑数字A[1..4]分别表示迷宫第I列中需要访问并仅可以访问的格子数。右边一行加下划线数字B[1..4]则表示迷宫第I行需要访问并仅可以访问的格子数。如图中带括号红色数字就是一条符合条件的路线。 给定N,A[1..N] B[1..N]。输出一条符合条件的路线,若无解,输出NO ANSWER。(使用U,D,L,R分别表示上、下、左、右。) 2 2 1 2 (4,4) 1 (2,3) (3,3) (4,3) 3 (1,2) (2,2) 2 (1,1) 1 【输入格式】 第一行是数m (n < 6 )。第二行有n个数,表示a[1]..a[n]。第三行有n个数,表示b[1]..b[n]。 【输出格式】 仅有一行。若有解则输出一条可行路线,否则输出“NO ANSWER”。

    标签: 点阵

    上传时间: 2014-06-21

    上传用户:llandlu

  • Basicaly,a chatterbot is a computer program that when you provide it with some inputs in Natural Lan

    Basicaly,a chatterbot is a computer program that when you provide it with some inputs in Natural Language (English, French ...) responds with something meaningful in that same language. Which means that the strength of a chatterbot could be directly measured by the quality of the output selected by the Bot in response to the user. By the previous description,we could deduce that a very basic chatterbot can be written in a few lines of code in a given specific programming language. Lets make our first chatterbot (notice that all the codes that will be used in this tutorial will be written in C++. Also, it is assumed that the reader is familiar wih the STL library)

    标签: chatterbot Basicaly computer Natural

    上传时间: 2017-07-30

    上传用户:小宝爱考拉

  • With the Wireless module, OPNET can model both terrestrial and satellite radio systems. In this tut

    With the Wireless module, OPNET can model both terrestrial and satellite radio systems. In this tutorial, you will use Modeler and Wireless modeling to create a radio network you will also observe variations in the quality of received signal that results from radio noise at the receiving node in a dynamic network topology.

    标签: terrestrial satellite Wireless systems

    上传时间: 2017-08-06

    上传用户:xwd2010

  • Trade and Heterogeneous Labor

    We show in the context of a new economic geography model that when labor is heterogenous trade liberalization may lead to industrial agglomeration and inter-regional trade. Labor heterogeneity gives local monopoly power to firms but also introduces variations in the quality of the job match. Matches are likely to be better when there are more firms and workers in the local market, giving rise to an agglomeration force which can offset the forces against, trade costs and the erosion of monopoly power. We derive analytically a robust agglomeration equilibrium and illustrate its properties with numerical simulations

    标签: 经济、城市化和经济增长

    上传时间: 2016-04-02

    上传用户:kinda233

  • 离散实验 一个包的传递 用warshall

     实验源代码 //Warshall.cpp #include<stdio.h> void warshall(int k,int n) { int i , j, t; int temp[20][20]; for(int a=0;a<k;a++) { printf("请输入矩阵第%d 行元素:",a); for(int b=0;b<n;b++) { scanf ("%d",&temp[a][b]); } } for(i=0;i<k;i++){ for( j=0;j<k;j++){ if(temp[ j][i]==1) { for(t=0;t<n;t++) { temp[ j][t]=temp[i][t]||temp[ j][t]; } } } } printf("可传递闭包关系矩阵是:\n"); for(i=0;i<k;i++) { for( j=0;j<n;j++) { printf("%d", temp[i][ j]); } printf("\n"); } } void main() { printf("利用 Warshall 算法求二元关系的可传递闭包\n"); void warshall(int,int); int k , n; printf("请输入矩阵的行数 i: "); scanf("%d",&k); 四川大学实验报告 printf("请输入矩阵的列数 j: "); scanf("%d",&n); warshall(k,n); } 

    标签: warshall 离散 实验

    上传时间: 2016-06-27

    上传用户:梁雪文以

  • 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

  • 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

  • 5G+Edge+Cloud+Networks

    The surge of mobile data traffic forces network operators to cope with capacity shortage. The deployment of small cells in 5G networks is meant to reduce latency, backhaul traffic and increase radio access capacity. In this context, mobile edge computing technology will be used to manage dedicated cache space in the radio access network. Thus, mobile network operators will be able to provision OTT content providers with new caching services to enhance the quality of experience of their customers on the move.

    标签: Networks Cloud Edge 5G

    上传时间: 2020-05-26

    上传用户:shancjb

  • Green_Heterogeneous_Wireless_Networks

    Thisbookfocusesontheemergingresearchtopic‘green(energy-efficient)wirelessnetworks’ that has drawn huge attention recently from both academia and industry. This topic is highly motivated due to important environmental, financial and quality-of-experience (QoE) consid- erations.Duetosuchconcerns,varioussolutionshavebeenproposedtoenableefficientenergy usage in wireless networks, and these approaches are referred to as green wireless communi- cations and networking. The term ‘green’ emphasizes the environmental dimension of the proposed solutions. Hence, it is not sufficient to present a cost-effective solution unless it is eco-friendly.

    标签: Green_Heterogeneous_Wireless_Netw orks

    上传时间: 2020-05-27

    上传用户:shancjb

  • Opportunistic+Spectrum+Sharing

    Rapid growth of wireless communication services in recent decades has created a huge demand of radio spectrum. Spectrum scarcity and utilization inefficiency limit the development of wireless networks. Cognitive radio is a promising tech- nology that allows secondary users to reuse the underutilized licensed spectrum of primary users. The major challenge for spectrum sharing is to achieve high spectrum efficiency while making non-intrusive access to the licensed bands. This requires in- formation of availability and quality of channel resources at secondary transmitters, however, is difficult to be obtained perfectly in practice.

    标签: Opportunistic Spectrum Sharing

    上传时间: 2020-05-31

    上传用户:shancjb