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complex-to-<b>complex</b>

  • 離散實(shí)驗(yàn) 一個(gè)包的傳遞 用warshall

     實(shí)驗(yàn)源代碼 //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("請(qǐng)輸入矩陣第%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("可傳遞閉包關(guān)系矩陣是:\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 算法求二元關(guān)系的可傳遞閉包\n"); void warshall(int,int); int k , n; printf("請(qǐng)輸入矩陣的行數(shù) i: "); scanf("%d",&k); 四川大學(xué)實(shí)驗(yàn)報(bào)告 printf("請(qǐng)輸入矩陣的列數(shù) j: "); scanf("%d",&n); warshall(k,n); } 

    標(biāo)簽: warshall 離散 實(shí)驗(yàn)

    上傳時(shí)間: 2016-06-27

    上傳用戶:梁雪文以

  • 道理特分解法

    #include "iostream" using namespace std; class Matrix { private: double** A; //矩陣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; //為向量b分配空間并初始化為0 b=new double [x]; for(int j=0;j<x;j++) b[j]=0; //為向量A分配空間并初始化為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<<"正在析構(gòu)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<<"請(qǐng)輸入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<<"請(qǐng)輸入b:"<<endl; for(int j=0;j<size;j++){ cout<<"第"<<j+1<<"個(gè):"<<endl; cin>>b[j]; } } double* Dooli(Matrix& A) { double *Xn=new double [A.size]; Matrix L(A.size),U(A.size); //分別求得U,L的第一行與第一列 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]; //分別求得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<<"計(jì)算U得:"<<endl; U.Disp(); cout<<"計(jì)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; } 

    標(biāo)簽: 道理特分解法

    上傳時(shí)間: 2018-05-20

    上傳用戶:Aa123456789

  • 安森美車(chē)規(guī)級(jí)1080P圖像傳感器AR0231手冊(cè)

    AR0231AT7C00XUEA0-DRBR(RGB濾光)安森美半導(dǎo)體推出采用突破性減少LED閃爍 (LFM)技術(shù)的新的230萬(wàn)像素CMOS圖像傳感器樣品AR0231AT,為汽車(chē)先進(jìn)駕駛輔助系統(tǒng)(ADAS)應(yīng)用確立了一個(gè)新基準(zhǔn)。新器件能捕獲1080p高動(dòng)態(tài)范圍(HDR)視頻,還具備支持汽車(chē)安全完整性等級(jí)B(ASIL B)的特性。LFM技術(shù)(專利申請(qǐng)中)消除交通信號(hào)燈和汽車(chē)LED照明的高頻LED閃爍,令交通信號(hào)閱讀算法能于所有光照條件下工作。AR0231AT具有1/2.7英寸(6.82 mm)光學(xué)格式和1928(水平) x 1208(垂直)有源像素陣列。它采用最新的3.0微米背照式(BSI)像素及安森美半導(dǎo)體的DR-Pix?技術(shù),提供雙轉(zhuǎn)換增益以在所有光照條件下提升性能。它以線性、HDR或LFM模式捕獲圖像,并提供模式間的幀到幀情境切換。 AR0231AT提供達(dá)4重曝光的HDR,以出色的噪聲性能捕獲超過(guò)120dB的動(dòng)態(tài)范圍。AR0231AT能同步支持多個(gè)攝相機(jī),以易于在汽車(chē)應(yīng)用中實(shí)現(xiàn)多個(gè)傳感器節(jié)點(diǎn),和通過(guò)一個(gè)簡(jiǎn)單的雙線串行接口實(shí)現(xiàn)用戶可編程性。它還有多個(gè)數(shù)據(jù)接口,包括MIPI(移動(dòng)產(chǎn)業(yè)處理器接口)、并行和HiSPi(高速串行像素接口)。其它關(guān)鍵特性還包括可選自動(dòng)化或用戶控制的黑電平控制,支持?jǐn)U頻時(shí)鐘輸入和提供多色濾波陣列選擇。封裝和現(xiàn)狀:AR0231AT采用11 mm x 10 mm iBGA-121封裝,現(xiàn)提供工程樣品。工作溫度范圍為-40℃至105℃(環(huán)境溫度),將完全通過(guò)AEC-Q100認(rèn)證。

    標(biāo)簽: 圖像傳感器

    上傳時(shí)間: 2022-06-27

    上傳用戶:XuVshu

  • Subroutine MCHOLSK :To solves a hermitian positive definite set of complex linear simultaneous equ

    Subroutine MCHOLSK :To solves a hermitian positive definite set of complex linear simultaneous equations (AX=B) using the Cholesky decomposition method.

    標(biāo)簽: simultaneous Subroutine hermitian definite

    上傳時(shí)間: 2014-08-25

    上傳用戶:windwolf2000

  • 8051 VARIOUS UTILITY FUNCTIONSUTIL_ADCAD - Add Acc to DPTR, sets CYUTIL_ADCBAD - Add B/A to DPTR, se

    8051 VARIOUS UTILITY FUNCTIONSUTIL_ADCAD - Add Acc to DPTR, sets CYUTIL_ADCBAD - Add B/A to DPTR, sets CYUTIL_SUBBAD

    標(biāo)簽: FUNCTIONSUTIL_ADCAD DPTR CYUTIL_ADCBAD Add

    上傳時(shí)間: 2013-11-25

    上傳用戶:himbly

  • Describe the differences between the Java Swing to SWT. Give a complex example to explain how to tra

    Describe the differences between the Java Swing to SWT. Give a complex example to explain how to transform the Swing codes to SWT code.

    標(biāo)簽: differences the Describe to

    上傳時(shí)間: 2013-12-30

    上傳用戶:小草123

  • b to b 模式 電子商務(wù)系統(tǒng)

    b to b 模式 電子商務(wù)系統(tǒng) ,c# 開(kāi)發(fā) , B/S結(jié)構(gòu)

    標(biāo)簽: to 模式 電子商務(wù)系統(tǒng)

    上傳時(shí)間: 2014-01-20

    上傳用戶:hanli8870

  • This project attempts to implement a Database using B+Tree. The project has developed a DATABASE SYS

    This project attempts to implement a Database using B+Tree. The project has developed a DATABASE SYSTEM with lesser memory consumption. Its API includes simple SQL Statements and the output is displayed on the screen. Certain applications for which several features of existing databases like concurrency control, transaction management, security features are not enabled. B+Trees can be used as an index for factor access to the data. Help facility is provided to know the syntax of SQL Statements.

    標(biāo)簽: project implement developed Database

    上傳時(shí)間: 2013-12-25

    上傳用戶:semi1981

  • Bing is a point-to-point bandwidth measurement tool (hence the b ), based on ping. Bing determines t

    Bing is a point-to-point bandwidth measurement tool (hence the b ), based on ping. Bing determines the real (raw, as opposed to available or average) throughput on a link by measuring ICMP echo requests roundtrip times for different packet sizes for each end of the link

    標(biāo)簽: Bing point-to-point measurement determines

    上傳時(shí)間: 2015-09-15

    上傳用戶:lgnf

  • If we have two individually sorted vectors "a" and "b" but they are not sorted with respect to each

    If we have two individually sorted vectors "a" and "b" but they are not sorted with respect to each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c=mergesorted(a,b) can be used.

    標(biāo)簽: sorted individually respect vectors

    上傳時(shí)間: 2015-09-23

    上傳用戶:comua

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