codeforces gym 100548G

本文介绍了一种利用回文树的数据结构解决两个字符串间的公共回文子串计数问题的方法,并提供了三种不同的实现思路:双回文树DFS、合并构建单回文树及作为查询操作。

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求两个字符串的公共回文子串个数,搞两个回文树,dfs一遍即可。

#pragma comment(linker, "/STACK:102400000,102400000")
#include<map>
#include<set>
#include<cmath>
#include<queue>
#include<stack>
#include<bitset>
#include<cstdio>
#include<string>
#include<cstring>
#include<algorithm>
#include<functional>
using namespace std;
typedef long long LL;
const int low(int x) { return x&-x; }
const int INF = 0x7FFFFFFF;
const int mod = 1e9 + 7;
const int maxn = 2e5 + 10;
LL ans;
int T;
char s[maxn];

struct PalindromicTree
{
	const static int maxn = 2e5 + 10;
	const static int size = 26;
	int next[maxn][size], sz, tot;
	int fail[maxn], len[maxn], last;
	LL cnt[maxn];
	char s[maxn];
	LL operator[](const int &x) { return cnt[x]; }
	void clear()
	{
		len[1] = -1; len[2] = 0;
		fail[1] = fail[2] = 1;
		cnt[1] = cnt[2] = tot = 0;
		last = (sz = 3) - 1;	
		memset(next[1], 0, sizeof(next[1]));
		memset(next[2], 0, sizeof(next[2]));
	}
	int Node(int length)
	{
		memset(next[sz], 0, sizeof(next[sz]));
		len[sz] = length;  cnt[sz] = 0;  return sz++;
	}
	int getfail(int x)
	{
		while (s[tot] != s[tot - len[x] - 1]) x = fail[x];
		return x;
	}
	int add(char pos)
	{
		int x = (s[++tot] = pos) - 'a', y = getfail(last);
		if (next[y][x]) { last = next[y][x]; }
		else {
			last = next[y][x] = Node(len[y] + 2);
			fail[last] = len[last] == 1 ? 2 : next[getfail(fail[y])][x];
		}
		return ++cnt[last];
	}
	void work()
	{
		for (int i = sz - 1; i > 2; i--)
		{
			if (fail[i] > 2) cnt[fail[i]] += cnt[i];
		}
	}
}work[2];

void dfs(int x, int y)
{
	ans += work[0][x] * work[1][y];
	for (int i = 0; i < 26; i++)
	{
		if (work[0].next[x][i] && work[1].next[y][i])
		{
			dfs(work[0].next[x][i], work[1].next[y][i]);
		}
	}
}

int main()
{
	scanf("%d", &T);
	for (int cas = 1; cas <= T; cas++)
	{
		for (int i = 0; i < 2; i++)
		{
			work[i].clear();
			scanf("%s", s);
			for (int j = 0; s[j]; j++)
			{
				work[i].add(s[j]);
			}
			work[i].work();
		}
		ans = 0;
		dfs(1, 1);
		dfs(2, 2);
		printf("Case #%d: %lld\n", cas, ans);
	}
	return 0;
}

最近和同学讨论的时候又重新的想了这个问题,这里提供两个新的解决方案。

把第二个串也插进去一起统计的方法。

#pragma comment(linker, "/STACK:102400000,102400000")
#include<map>
#include<set>
#include<cmath>
#include<queue>
#include<stack>
#include<bitset>
#include<cstdio>
#include<string>
#include<cstring>
#include<algorithm>
#include<functional>
using namespace std;
typedef long long LL;
const int low(int x) { return x&-x; }
const int INF = 0x7FFFFFFF;
const int mod = 1e9 + 7;
const int maxn = 2e5 + 10;
LL ans;
int T;
char s[maxn];

struct PalindromicTree
{
	const static int maxn = 4e5 + 10;
	const static int size = 26;
	int next[maxn][size], sz, tot;
	int fail[maxn], len[maxn], last;
	LL cnt[maxn], t[maxn];
	char s[maxn];
	void clear()
	{
		len[1] = -1; len[2] = 0;
		fail[1] = fail[2] = 1;
		cnt[1] = cnt[2] = tot = 0;
		last = (sz = 3) - 2;
		memset(next[1], 0, sizeof(next[1]));
		memset(next[2], 0, sizeof(next[2]));
	}
	int Node(int length)
	{
		memset(next[sz], 0, sizeof(next[sz]));
		len[sz] = length;  t[sz] = cnt[sz] = 0;  return sz++;
	}
	int getfail(int x)
	{
		while (s[tot] != s[tot - len[x] - 1]) x = fail[x];
		return x;
	}
	int add(char pos, int kind)
	{
		int x = (s[++tot] = pos) - 'a', y = getfail(last);
		if (!(last = next[y][x]))
		{
			last = next[y][x] = Node(len[y] + 2);
			fail[last] = len[last] == 1 ? 2 : next[getfail(fail[y])][x];
		}
		return kind ? ++t[last] : ++cnt[last];
	}
	void work()
	{
		for (int i = sz - 1; i > 2; i--)
		{
			if (fail[i] > 2)
			{
				cnt[fail[i]] += cnt[i];
				t[fail[i]] += t[i];
			}
			ans += cnt[i] * t[i];
		}
	}
}work;

int main()
{
	scanf("%d", &T);
	for (int cas = 1; cas <= T; cas++)
	{
		work.clear();
		scanf("%s", s);
		for (int i = 0; s[i]; i++) work.add(s[i], 0);
		scanf("%s", s);
		work.tot = 0;	work.last = 1;
		for (int i = 0; s[i]; i++) work.add(s[i], 1);
		ans = 0;
		work.work();
		printf("Case #%d: %lld\n", cas, ans);
	}
	return 0;
}
不把第二个串插入,仅当做查询的方法,这里可以看出回文树和后缀自动机以及ac自动机有很多相同之处。

#pragma comment(linker, "/STACK:102400000,102400000")
#include<map>
#include<set>
#include<cmath>
#include<queue>
#include<stack>
#include<bitset>
#include<cstdio>
#include<string>
#include<cstring>
#include<algorithm>
#include<functional>
using namespace std;
typedef long long LL;
const int low(int x) { return x&-x; }
const int INF = 0x7FFFFFFF;
const int mod = 1e9 + 7;
const int maxn = 2e5 + 10;
LL ans;
int T;
char s[maxn];

struct PalindromicTree
{
	const static int maxn = 2e5 + 10;
	const static int size = 26;
	int next[maxn][size], sz, tot;
	int fail[maxn], len[maxn], last;
	LL cnt[maxn], t[maxn];
	char s[maxn];
	void clear()
	{
		len[1] = -1; len[2] = 0;
		fail[1] = fail[2] = 1;
		cnt[1] = cnt[2] = tot = 0;
		last = (sz = 3) - 2;
		memset(next[1], 0, sizeof(next[1]));
		memset(next[2], 0, sizeof(next[2]));
	}
	int Node(int length)
	{
		memset(next[sz], 0, sizeof(next[sz]));
		len[sz] = length;  t[sz] = cnt[sz] = 0;  return sz++;
	}
	int getfail(int x)
	{
		while (s[tot] != s[tot - len[x] - 1]) x = fail[x];
		return x;
	}
	int add(char pos, int kind)
	{
		int x = (s[++tot] = pos) - 'a', y = getfail(last);
		if (!(last = next[y][x]))
		{
			if (!kind)
			{
				last = next[y][x] = Node(len[y] + 2);
				fail[last] = len[last] == 1 ? 2 : next[getfail(fail[y])][x];
			}
			else
			{
				while (!next[y][x] && y > 1) y = getfail(fail[y]);
				if (!(last = next[y][x])) last = 1;
			}
		}
		return kind ? ++t[last] : ++cnt[last];
	}
	void work()
	{
		for (int i = sz - 1; i > 2; i--)
		{
			if (fail[i] > 2)
			{
				cnt[fail[i]] += cnt[i];
				t[fail[i]] += t[i];
			}
			ans += cnt[i] * t[i];
		}
	}
}work;

int main()
{
	scanf("%d", &T);
	for (int cas = 1; cas <= T; cas++)
	{
		work.clear();
		scanf("%s", s);
		for (int i = 0; s[i]; i++) work.add(s[i], 0);
		scanf("%s", s);
		work.tot = 0;	work.last = 1;
		for (int i = 0; s[i]; i++) work.add(s[i], 1);
		ans = 0;
		work.work();
		printf("Case #%d: %lld\n", cas, ans);
	}
	return 0;
}


Codeforces Gym 101630 是一场编程竞赛,通常包含多个算法挑战问题。这些问题往往涉及数据结构、算法设计、数学建模等多个方面,旨在测试参赛者的编程能力和解决问题的能力。 以下是一些可能出现在 Codeforces Gym 101630 中的题目类型及解决方案概述: ### 题目类型 1. **动态规划(DP)** 动态规划是编程竞赛中常见的题型之一。问题通常要求找到某种最优解,例如最小路径和、最长递增子序列等。解决这类问题的关键在于状态定义和转移方程的设计[^1]。 2. **图论** 图论问题包括最短路径、最小生成树、网络流等。例如,Dijkstra 算法用于求解单源最短路径问题,而 Kruskal 或 Prim 算法则常用于最小生成树问题[^1]。 3. **字符串处理** 字符串问题可能涉及模式匹配、后缀数组、自动机等高级技巧。KMP 算法和 Trie 树是解决此类问题的常用工具[^1]。 4. **数论与组合数学** 这类问题通常需要对质数、模运算、排列组合等有深入的理解。例如,快速幂算法可以用来高效计算大数的模幂运算[^1]。 5. **几何** 几何问题可能涉及点、线、多边形的计算,如判断点是否在多边形内部、计算两个圆的交点等。向量运算和坐标变换是解决几何问题的基础[^1]。 ### 解决方案示例 #### 示例问题:动态规划 - 最长递增子序列 ```python def longest_increasing_subsequence(nums): if not nums: return 0 dp = [1] * len(nums) for i in range(len(nums)): for j in range(i): if nums[i] > nums[j]: dp[i] = max(dp[i], dp[j] + 1) return max(dp) # 示例输入 nums = [10, 9, 2, 5, 3, 7, 101, 18] print(longest_increasing_subsequence(nums)) # 输出: 4 ``` #### 示例问题:图论 - Dijkstra 算法 ```python import heapq def dijkstra(graph, start): distances = {node: float('infinity') for node in graph} distances[start] = 0 priority_queue = [(0, start)] while priority_queue: current_distance, current_node = heapq.heappop(priority_queue) if current_distance > distances[current_node]: continue for neighbor, weight in graph[current_node].items(): distance = current_distance + weight if distance < distances[neighbor]: distances[neighbor] = distance heapq.heappush(priority_queue, (distance, neighbor)) return distances # 示例输入 graph = { 'A': {'B': 1, 'C': 4}, 'B': {'A': 1, 'C': 2, 'D': 5}, 'C': {'A': 4, 'B': 2, 'D': 1}, 'D': {'B': 5, 'C': 1} } start = 'A' print(dijkstra(graph, start)) # 输出: {'A': 0, 'B': 1, 'C': 3, 'D': 4} ``` #### 示例问题:字符串处理 - KMP 算法 ```python def kmp_failure_function(pattern): m = len(pattern) lps = [0] * m length = 0 # length of the previous longest prefix suffix i = 1 while i < m: if pattern[i] == pattern[length]: length += 1 lps[i] = length i += 1 else: if length != 0: length = lps[length - 1] else: lps[i] = 0 i += 1 return lps def kmp_search(text, pattern): n = len(text) m = len(pattern) lps = kmp_failure_function(pattern) i = 0 # index for text j = 0 # index for pattern while i < n: if pattern[j] == text[i]: i += 1 j += 1 if j == m: print("Pattern found at index", i - j) j = lps[j - 1] elif i < n and pattern[j] != text[i]: if j != 0: j = lps[j - 1] else: i += 1 # 示例输入 text = "ABABDABACDABABCABAB" pattern = "ABABCABAB" kmp_search(text, pattern) # 输出: Pattern found at index 10 ``` ###
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