codeforces1228E Another Filling the Grid

本文详细解析了Codeforces比赛中的E题,通过学习杯橘猫的解决方案,分享了一个使用C++实现的高效算法。该算法涉及组合数学、快速幂运算和动态规划,用于解决特定的计数问题。

https://codeforces.com/contest/1228/problem/E

上周病了一周咕了好几场cf,突然想起这题没补然而一直都不会

于是去杯橘猫那里偷学了一手https://blog.youkuaiyun.com/ccsu_cat/article/details/101731113

#include<bits/stdc++.h>
#define maxl 310
const int mod=1e9+7;

int n,k;
long long jc[maxl],inv[maxl],qpk[maxl],qpk1[maxl];
long long dp[maxl][maxl];

inline long long qp(long long a,long long b)
{
	long long ans=1,cnt=a;
	while(b)
	{
		if(b&1)
			ans=ans*cnt%mod;
		cnt=cnt*cnt%mod;
		b>>=1;
	}
	return ans;
}

inline void prework()
{
	scanf("%d%d",&n,&k);
	jc[0]=1;inv[0]=1;
	for(int i=1;i<=n;i++)
	{	
		jc[i]=jc[i-1]*i%mod;
		inv[i]=qp(jc[i],mod-2);
	}
	qpk[0]=qpk1[0]=1;
	for(int i=1;i<=n;i++)
	{
		qpk[i]=qpk[i-1]*k%mod;
		qpk1[i]=qpk1[i-1]*(k-1)%mod;
	}
	
}

inline long long c(long long n,long long r)
{
	if(r>n)
		return 0;
	if(r==n)
		return 1;
	return jc[n]*inv[r]%mod*inv[n-r]%mod;
}

inline void add(long long &a,long long b)
{
	a=((a+b)%mod+mod)%mod;
}

inline void mainwork()
{
	for(int i=1;i<=n;i++)
		dp[1][i]=c(n,i)*qp(k-1,n-i)%mod;
	for(int i=2;i<=n;i++)
		for(int p=1;p<=n;p++)
		{
			for(int j=1;j<=p-1;j++)
				add(dp[i][p],dp[i-1][j]*qpk[j]%mod*c(n-j,p-j)%mod*qpk1[n-p]%mod);
			add(dp[i][p],dp[i-1][p]*((qpk[p]-qpk1[p]+mod)%mod)%mod*qpk1[n-p]%mod);
		}
}

inline void print()
{
	printf("%lld",dp[n][n]);
}

int main()
{
	prework();
	mainwork();
	print();
	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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