Fast Matrix Calculation HDU - 4965

原题链接

  • 题意:给出矩阵 \(A\),为 \(N\times M\) 的矩阵,矩阵 \(B\)\(M \times N\) 的矩阵,\(4 <= N <= 1000, 1 <= M <= 10\) ,设矩阵 \(C = A \times B\) 求出 \(C^n\) 各个元素和。
  • 题解:可以发现的是乘一步 \(O(n^3)\) 显然吃不消。但是,可以发现一个性质,即 \(M\) 比较小。\((A\times B)\times(A\times B) = A\times(B\times A)\times B\) 可以发现,如果 \(n\)\(A\times B\) 相乘,可以转化成 \(n-1\)\((B\times A)\) 相乘,设结果为矩阵 \(T\),那么最终结果即为 \(A\times T \times B\), 而求 \(B\times A\)\(N\times M\)\(M\times N\)\(O(m^2n)\) 的复杂度,可以接受。算 \(T\) 的复杂度是可用快速幂,即 \(O(m^2n\times \log n^2)\),然后最终 \(A \times T\)\(O(m^2n)\) 的复杂度,然后再乘 \(B\)\(O(n^2m)\) 的复杂度。
    最终复杂的度是 \(O(m^2n\times \log n^2 + n^2m)\)
  • 代码:
#include <iostream>
#include <cstring>

using namespace std;


typedef long long ll;
const int N = 1e3  + 9;
const ll mod = 6;
int n, m;
ll A[N][N], B[N][N], T[N][N],ans[N][N];
struct Matrix {
    ll a[10][10];
    Matrix(){memset(a, 0, sizeof a);}
    Matrix operator*(Matrix rhs)const {
        Matrix ret;
        for (int i = 1; i <= m; i ++) {
            for (int j = 1; j <= m; j++){
                for (int k = 1; k <= m; k++) {
                    (ret.a[i][j] += (a[i][k] * rhs.a[k][j] % mod)) %= mod;
                }
            }
        }
        return ret;
    }
    void pr() {
        for (int i = 1; i <= m; i++) {
            for (int j = 1; j <= m; j++) {
                cout << a[i][j] << " ";
            }
            cout << endl;
        }
    }
};
Matrix ksm (Matrix A, int kk) {
    if (kk == 1)return A;
    Matrix ret;
    bool f = 0;
    //cout << kk << "???";
    while (kk) {
        if (kk & 1) {
            if (!f) {
                ret = A;
                f = 1;
               // cout << "?";
            } else
            ret = ret * A;
        }
        kk >>= 1;
        A = A * A;
    }
    return ret;
}
void solve() {
while (cin >> n >> m) {

    if (n == 0 && m == 0)return;
    Matrix C;
    for (int i = 1; i <= n; i++) {
        for (int j = 1; j <= m; j++) {
            cin >> A[i][j];
        }
    } 
    for (int i = 1; i <= m; i++) {
        for (int j = 1; j <= n; j++) {
            cin >> B[i][j];
        }
    }
    for (int i = 1; i <= m; i ++) {
        for (int j = 1; j <= m; j ++) {
            for (int k = 1; k <= n; k++) {
                (C.a[i][j] += B[i][k] * A[k][j] % mod)%=mod;
            }
        }
    }
    int kk = n * n-1;
    Matrix M = ksm(C, kk);
    memset(T, 0, sizeof T);
    for (int i = 1; i <= n; i++) {
        for (int j = 1; j <= m; j++) {
            for (int k = 1; k <= m; k++) {
                (T[i][j] += A[i][k] * M.a[k][j] % mod) %= mod;
            }
        }
    }
    ll sum = 0;
    memset(ans, 0, sizeof ans);
    for (int i = 1; i <= n; i++) {
        for (int j = 1; j <= n; j++) {
            for (int k = 1; k <= m; k++) {
                (ans[i][j] += T[i][k] * B[k][j] % mod) %= mod;
            }
        }
    }
    for (int i = 1; i <= n; i++) {
        for (int j = 1; j <= n; j++) {
            sum += ans[i][j];
        }
    }   
    cout << sum << endl;
}

}
signed main() {
    int t = 1;//cin >> t;
    while (t--) {
        solve();
    }
}

posted @ 2021-03-26 19:47  u_yan  阅读(33)  评论(0编辑  收藏  举报