Codeforces 757E 积性函数

1.首先 百度学习积性函数定义 或者 wiki学multiplicative function
2. fr+1(n)=d|nfr(d) 这个还是很好发现的
3.假设 n=pe11pe22
4.因为 f0 是积性函数,所以 f0(n)=f0(pe11)f0(pe22)
5.

f1(n)=d|nf0(d)=i=0e1j=0e2f0(pi1pj2)=i=0e1f0(pi1)j=0e2f0(pj2)=f1(pe11)f1(pe22)

所以 f1 是积性函数
同理 fr+1 也是积性函数
6.故要求的就是 fr+1(pe)=fr+1(pe1)+fr(pe) 而且这个值和p是多少是没有关系的,开个dp推一下就行了

#include <iostream>
#include <cstring>
#include <cstdio>
#include <vector>
#include <set>
#include <map>
#include <queue>
#include <algorithm>
#include <stack>
#include <cctype>
#include <cmath>
#include <vector>
#include <sstream>
#include <bitset>
#include <deque>
#include <iomanip>
using namespace std;
#define pr(x) cout << #x << " = " << x << endl;
#define bug cout << "bugbug" << endl;
#define ppr(x, y) printf("(%d, %d)\n", x, y);
#define MST(a,b) memset(a,b,sizeof(a))
#define CLR(a) MST(a,0)
#define SQR(a) ((a)*(a))
#define PCUT puts("\n---------------")

typedef long long ll;
typedef double DBL;
typedef pair<int, int> P;
typedef unsigned int uint;
const int MOD = 1e9 + 7;
const int inf = 0x3f3f3f3f;
const ll INF = 0x3f3f3f3f3f3f3f3f;
const int maxn = 1e6 + 4;
const int maxm = 2e1 + 4;
const double pi = acos(-1.0);
ll dp[maxn][maxm];
vector<int> fac[maxn];

void divide(int num){
    int t = num;
    for (int i = 2; i * i <= num; ++i)
        if (num % i == 0){
            int tmp = 0;
            while(num % i == 0) tmp++, num /= i;
            fac[t].push_back(tmp); 
        }
    if (num != 1){
        fac[t].push_back(1);
    }
    return;
} 

void init(){
    for (int i = 0; i < maxm; ++i) dp[0][i] = 1 << i;
    for (int i = 0; i < maxm; ++i) dp[1][i] = 1 + 2 * i; 
    for (int i = 2; i < maxn; ++i){
        dp[i][0] = 1;
        for (int j = 1; j < maxm; ++j) dp[i][j] = (dp[i][j-1] + dp[i-1][j]) % MOD;
    }
    return;
}
ll fun(int r, int num){
    if (r == 0) return dp[0][fac[num].size()];
    ll sum = 1;
    for (int i = 0; i < fac[num].size(); ++i){
        sum = sum * dp[r][fac[num][i]] % MOD; 
//      cout << fac[num][i] << ' '; 
    } 

    return sum;
}
int main(){
//必须编译过才能交
    int ik, i, j, k, kase;
    init();
    for (int i = 1; i < maxn; ++i) divide(i);
    int q;
    scanf("%d", &q);
    while(q--){
        int r, num;
        scanf("%d%d", &r, &num);
        printf("%I64d\n", fun(r, num));
    }
    return 0;
}
### Codeforces 887E Problem Solution and Discussion The problem **887E - The Great Game** on Codeforces involves a strategic game between two players who take turns to perform operations under specific rules. To tackle this challenge effectively, understanding both dynamic programming (DP) techniques and bitwise manipulation is crucial. #### Dynamic Programming Approach One effective method to approach this problem utilizes DP with memoization. By defining `dp[i][j]` as the optimal result when starting from state `(i,j)` where `i` represents current position and `j` indicates some status flag related to previous moves: ```cpp #include <bits/stdc++.h> using namespace std; const int MAXN = ...; // Define based on constraints int dp[MAXN][2]; // Function to calculate minimum steps using top-down DP int minSteps(int pos, bool prevMoveType) { if (pos >= N) return 0; if (dp[pos][prevMoveType] != -1) return dp[pos][prevMoveType]; int res = INT_MAX; // Try all possible next positions and update 'res' for (...) { /* Logic here */ } dp[pos][prevMoveType] = res; return res; } ``` This code snippet outlines how one might structure a solution involving recursive calls combined with caching results through an array named `dp`. #### Bitwise Operations Insight Another critical aspect lies within efficiently handling large integers via bitwise operators instead of arithmetic ones whenever applicable. This optimization can significantly reduce computation time especially given tight limits often found in competitive coding challenges like those hosted by platforms such as Codeforces[^1]. For detailed discussions about similar problems or more insights into solving strategies specifically tailored towards contest preparation, visiting forums dedicated to algorithmic contests would be beneficial. Websites associated directly with Codeforces offer rich resources including editorials written after each round which provide comprehensive explanations alongside alternative approaches taken by successful contestants during live events. --related questions-- 1. What are common pitfalls encountered while implementing dynamic programming solutions? 2. How does bit manipulation improve performance in algorithms dealing with integer values? 3. Can you recommend any online communities focused on discussing competitive programming tactics? 4. Are there particular patterns that frequently appear across different levels of difficulty within Codeforces contests?
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