One day, Alice and Bob felt bored again, Bob knows Alice is a girl who loves math and is just learning something about matrix, so he decided to make a crazy problem for her.

Bob has a six-faced dice which has numbers 0, 1, 2, 3, 4 and 5 on each face. At first, he will choose a number N (4 <= N <= 1000), and for N times, he keeps throwing his dice for K times (2 <=K <= 6) and writes down its number on the top face to make an N*K matrix A, in which each element is not less than 0 and not greater than 5. Then he does similar thing again with a bit difference: he keeps throwing his dice for N times and each time repeat it for K times to write down a K*N matrix B, in which each element is not less than 0 and not greater than 5. With the two matrix A and B formed, Alice’s task is to perform the following 4-step calculation.

Step 1: Calculate a new N*N matrix C = A*B. 
Step 2: Calculate M = C^(N*N). 
Step 3: For each element x in M, calculate x % 6. All the remainders form a new matrix M’. 
Step 4: Calculate the sum of all the elements in M’.

Bob just made this problem for kidding but he sees Alice taking it serious, so he also wonders what the answer is. And then Bob turn to you for help because he is not good at math.

InputThe input contains several test cases. Each test case starts with two integer N and K, indicating the numbers N and K described above. Then N lines follow, and each line has K integers between 0 and 5, representing matrix A. Then K lines follow, and each line has N integers between 0 and 5, representing matrix B.

The end of input is indicated by N = K = 0.OutputFor each case, output the sum of all the elements in M’ in a line.Sample Input

4 2
5 5
4 4
5 4
0 0
4 2 5 5
1 3 1 5
6 3
1 2 3
0 3 0
2 3 4
4 3 2
2 5 5
0 5 0
3 4 5 1 1 0
5 3 2 3 3 2
3 1 5 4 5 2
0 0

Sample Output

14
56

给你一个n*m和一个m*n的矩阵,经过上面的4步之后会得到一个新的矩阵M,求M中所有元素的总和。

n是一个可以到1000的数,但是m巨小,最多到6,矩阵开1000会爆栈,我们可以转化一下:

A*B^(n*n) = A*B*A*B*A*B...*A*B = A*(B*A)^(n*n-1)*B

B*A是一个m*m的矩阵,嘿嘿~~~

//Asimple
#include <iostream>
#include <algorithm>
#include <cstdio>
#include <cstdlib>
#include <queue>
#include <vector>
#include <string>
#include <cstring>
#include <stack>
#include <set>
#include <map>
#include <cmath>
#define swap(a,b,t) t = a, a = b, b = t
#define CLS(a, v) memset(a, v, sizeof(a))
#define test() cout<<"============"<<endl
#define debug(a) cout << #a << " = " << a <<endl
#define dobug(a, b) cout << #a << " = " << a << " " << #b << " = " << b << endl
using namespace std;
typedef long long ll;
const int N = ;
const ll MOD=;
const int INF = ( << );
const double PI=atan(1.0)*;
const int maxn = +;
const ll mod = ;
ll n, m, len, ans, sum, v, w, T, num;
int A[maxn][maxn], B[maxn][maxn];
int c1[maxn][maxn], c2[maxn][maxn]; struct Matrix {
long long grid[N][N];
int row,col;
Matrix():row(N),col(N) {
memset(grid, , sizeof grid);
}
Matrix(int row, int col):row(row),col(col) {
memset(grid, , sizeof grid);
} //矩阵乘法
Matrix operator *(const Matrix &b) {
Matrix res(row, b.col);
for(int i = ; i<res.row; i++)
for(int j = ; j<res.col; j++)
for(int k = ;k<col; k++)
res[i][j] = (res[i][j] + grid[i][k] * b.grid[k][j] + MOD) % MOD;
return res;
} //矩阵快速幂
Matrix operator ^(long long exp) {
Matrix res(row, col);
for(int i = ; i < row; i++)
res[i][i] = ;
Matrix temp = *this;
for(; exp > ; exp >>= , temp = temp * temp)
if(exp & ) res = temp * res;
return res;
} long long* operator[](int index) {
return grid[index];
} void print() {
for(int i = ; i <row; i++) {
for(int j = ; j < col-; j++)
printf("%d ",grid[i][j]);
printf("%d\n",grid[i][col-]);
}
}
}; void input(){
ios_base::sync_with_stdio(false);
while( cin >> n >> m && (n+m) ) {
for(int i=; i<n; i++)
for(int j=; j<m; j++)
cin >> A[i][j];
for(int i=; i<m; i++)
for(int j=; j<n; j++)
cin >> B[i][j];
Matrix C(m, m);
for(int i=; i<m; i++) {
for(int j=; j<m; j++) {
C[i][j] = ;
for(int k=; k<n; k++) {
C[i][j] += ( B[i][k]*A[k][j]);
C[i][j] %= ;
}
}
}
C = C^(n*n-); for(int i=; i<n; i++) {
for(int j=; j<n; j++) {
c1[i][j] = ;
for(int k=; k<m; k++) {
c1[i][j] += A[i][k]*C[k][j];
c1[i][j] %= ;
}
}
}
for(int i=; i<n; i++) {
for(int j=; j<n; j++) {
c2[i][j] = ;
for(int k=; k<m; k++) {
c2[i][j] += c1[i][k]*B[k][j];
}
}
} ans = ;
for(int i=; i<n; i++) {
for(int j=; j<n; j++) {
ans += (c2[i][j]%MOD);
}
}
cout << ans << endl;
}
} int main(){
input();
return ;
}

Fast Matrix Calculation HDU - 4965的更多相关文章

  1. hdu 4965 Fast Matrix Calculation(矩阵高速幂)

    题目链接.hdu 4965 Fast Matrix Calculation 题目大意:给定两个矩阵A,B,分别为N*K和K*N. 矩阵C = A*B 矩阵M=CN∗N 将矩阵M中的全部元素取模6,得到 ...

  2. HDU 4965 Fast Matrix Calculation(矩阵高速幂)

    HDU 4965 Fast Matrix Calculation 题目链接 矩阵相乘为AxBxAxB...乘nn次.能够变成Ax(BxAxBxA...)xB,中间乘n n - 1次,这样中间的矩阵一个 ...

  3. hdu4965 Fast Matrix Calculation (矩阵快速幂 结合律

    http://acm.hdu.edu.cn/showproblem.php?pid=4965 2014 Multi-University Training Contest 9 1006 Fast Ma ...

  4. HDU4965 Fast Matrix Calculation —— 矩阵乘法、快速幂

    题目链接:https://vjudge.net/problem/HDU-4965 Fast Matrix Calculation Time Limit: 2000/1000 MS (Java/Othe ...

  5. hdu 4965 Fast Matrix Calculation

    题目链接:hdu 4965,题目大意:给你一个 n*k 的矩阵 A 和一个 k*n 的矩阵 B,定义矩阵 C= A*B,然后矩阵 M= C^(n*n),矩阵中一切元素皆 mod 6,最后求出 M 中所 ...

  6. HDU - 4965 Fast Matrix Calculation 【矩阵快速幂】

    题目链接 http://acm.hdu.edu.cn/showproblem.php?pid=4965 题意 给出两个矩阵 一个A: n * k 一个B: k * n C = A * B M = (A ...

  7. HDU 4965 Fast Matrix Calculation 矩阵快速幂

    题意: 给出一个\(n \times k\)的矩阵\(A\)和一个\(k \times n\)的矩阵\(B\),其中\(4 \leq N \leq 1000, \, 2 \leq K \leq 6\) ...

  8. HDU 4965 Fast Matrix Calculation 矩阵乘法 乘法结合律

    一种奇葩的写法,纪念一下当时的RE. #include <iostream> #include <cstdio> #include <cstring> #inclu ...

  9. hdu4965 Fast Matrix Calculation 矩阵快速幂

    One day, Alice and Bob felt bored again, Bob knows Alice is a girl who loves math and is just learni ...

随机推荐

  1. javascript: 类、方法、原型

    // 类.方法.原型 //================================================================================== /* 类 ...

  2. bootstrap引入文件方法

    <!DOCTYPE html> <html lang="zh-cn"> <head> <meta charset="UTF-8& ...

  3. vue2.0 在微信端如何使用本地IP访问项目

    我们会遇到这样的需求,在PC端开发vue脚手架项目,希望在微信端随时浏览页面(如果打包再发布到服务器又太麻烦),怎么办? 思路很简单:保证手机和电脑在同一个IP下,用同一个IP访问项目,这样就可以了: ...

  4. 机器学习 —— 深度学习 —— 基于DAGNN的MNIST NET

    DAGNN 是Directed acyclic graph neural network 缩写,也就有向图非循环神经网络.我使用的是由MatConvNet 提供的DAGNN API.选择这套API作为 ...

  5. WPS 关闭 wpscenter.exe 服务

    1.Ctrl + Shift + Esc 打开任务管理,结束wps相关的进程 2.新建文本文件,并命名为:wpscenter.exe 3.重命名 C:\Program Files1\WPS Offic ...

  6. java httpclient post xml demo

    jar archive: http://archive.apache.org/dist/httpcomponents/ 基于httpclient 2.0 final的demo(for jdk1.5/1 ...

  7. java后端实习,从最简单的crud做起

    现在就是做ssm框架下的sql语句,主要是select语句,sql语句没什么难的,孰能生巧,趁此机会,把自己的sql基础打扎实,也是一种实习的经验. 1.在子查询中字段的类型不相容怎么办? cast函 ...

  8. vue的插槽slot

    插槽是写在子组件上,用啦留给父级添加内容的位置接口: 1. 父级里的 <template :is='子标签名'>父插入内容</template>标签,里的内容       sl ...

  9. 关于histry的pushstate 和 popstate事件的应用

    这篇文章是基础:http://www.cnblogs.com/kaituorensheng/p/3776527.html: histry的单页面应用有两个写法:哈希值和?: 哈希值例子: 实现效果:点 ...

  10. C#遍历枚举(Enum)值

    foreach (object o in Enum.GetValues(typeof(EmpType))) { Console.WriteLine("{0}:{1}", o, En ...