POJ 1995 Raising Modulo Numbers 整数快速幂

本文探讨了一种复杂的数学游戏编程解决方案,包括输入解析、快速幂运算和模运算等核心算法,旨在帮助玩家理解并实现游戏逻辑。

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Raising Modulo Numbers
Time Limit: 1000MS Memory Limit: 30000K
Total Submissions: 4233 Accepted: 2411

Description

People are different. Some secretly read magazines full of interesting girls' pictures, others create an A-bomb in their cellar, others like using Windows, and some like difficult mathematical games. Latest marketing research shows, that this market segment was so far underestimated and that there is lack of such games. This kind of game was thus included into the KOKODáKH. The rules follow: 

Each player chooses two numbers Ai and Bi and writes them on a slip of paper. Others cannot see the numbers. In a given moment all players show their numbers to the others. The goal is to determine the sum of all expressions Ai Bi from all players including oneself and determine the remainder after division by a given number M. The winner is the one who first determines the correct result. According to the players' experience it is possible to increase the difficulty by choosing higher numbers. 

You should write a program that calculates the result and is able to find out who won the game. 

Input

The input consists of Z assignments. The number of them is given by the single positive integer Z appearing on the first line of input. Then the assignements follow. Each assignement begins with line containing an integer M (1 <= M <= 45000). The sum will be divided by this number. Next line contains number of players H (1 <= H <= 45000). Next exactly H lines follow. On each line, there are exactly two numbers Ai and Bi separated by space. Both numbers cannot be equal zero at the same time.

Output

For each assingnement there is the only one line of output. On this line, there is a number, the result of expression 

(A1B1+A2B2+ ... +AHBH)mod M.

Sample Input

3
16
4
2 3
3 4
4 5
5 6
36123
1
2374859 3029382
17
1
3 18132

Sample Output

2
13195
13

Source


给你A,B,M,让你求A^B%M的值。
#include<stdio.h>
long long quick_mod(long long a,long long b,long long m)
{
    long long ans=1;
    while(b)
    {
        if(b&1){ans=(ans*a)%m;b--;}
        b/=2;
        a=a*a%m;
    }
    return ans;
}
int main()
{
    int t,cas;
    long long a,b,c,ans;
    scanf("%d",&t);
    while(t--)
    {
        scanf("%lld%d",&c,&cas);
        ans=0;
        for(int i=0;i<cas;i++)
        {
            scanf("%lld%lld",&a,&b);
            ans=(ans+quick_mod(a,b,c))%c;
        }
        printf("%lld\n",ans%c);
    }
    return 0;
}


### 关于POJ 1995问题的快速幂C++实现 对于POJ 1995问题,其核心在于通过矩阵快速幂算法高效解决大规模数据下的指数运算。以下是基于引用材料中的相关内容构建的一个完整的解决方案。 #### 矩阵快速幂的核心逻辑 矩阵快速幂是一种高效的计算方式,在处理线性递推关系时尤为有效。例如斐波那契数列可以通过构造特定的转移矩阵来加速计算[^4]。具体来说,给定一个初始状态向量和一个转移矩阵,经过若干次幂运算后可获得目标状态。 以下是一个通用的矩阵快速幂模板: ```cpp #include <iostream> using namespace std; const int N = 2; // 定义矩阵大小 struct Matrix { long long m[N][N]; }; // 矩阵乘法函数 Matrix multiply(const Matrix& a, const Matrix& b) { Matrix c; for (int i = 0; i < N; ++i) { for (int j = 0; j < N; ++j) { c.m[i][j] = 0; for (int k = 0; k < N; ++k) { c.m[i][j] += a.m[i][k] * b.m[k][j]; c.m[i][j] %= 10000; // 取模操作 } } } return c; } // 快速幂函数 Matrix fastPower(Matrix base, long long exp) { Matrix result; for (int i = 0; i < N; ++i) { for (int j = 0; j < N; ++j) { result.m[i][j] = (i == j); } } while (exp > 0) { if (exp % 2 == 1) { result = multiply(result, base); } base = multiply(base, base); exp /= 2; } return result; } int main() { long long n; cin >> n; // 初始化转移矩阵 Matrix trans; trans.m[0][0] = 0; trans.m[0][1] = 1; trans.m[1][0] = 1; trans.m[1][1] = 1; // 计算结果矩阵 if (n == 0 || n == 1) { cout << 1 << endl; } else { Matrix res = fastPower(trans, n - 1); // 初始状态向量 long long fib_prev = 1; long long fib_curr = 1; // 输出结果 cout << (res.m[0][0] * fib_prev + res.m[0][1] * fib_curr) % 10000 << endl; } return 0; } ``` 此代码实现了针对斐波那契数列的大规模项求解功能,并采用了取模`%10000`的操作以满足题目需求。其中的关键部分包括矩阵乘法、快速幂以及状态转移的设计[^3]。 #### 特殊注意点 在实际提交过程中需要注意以下几个方面: - **大数组定义**:如果涉及更大的矩阵或者更复杂的动态规划表,则需特别留意内存分配的位置及其范围限制[^2]。 - **时间复杂度控制**:尽管快速幂本身具有较低的时间复杂度O(log n),但在极端情况下仍需验证是否存在进一步优化空间。 - **边界条件处理**:如输入为较小数值时直接返回已知答案而非进入循环计算流程。
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