poj_3259_spfa

本文介绍了一个有趣的问题:农夫约翰能否通过巧妙利用他的农场中发现的虫洞来实现时间旅行并回到过去。该问题需要使用图论和最短路径算法进行解决,并探讨了负权重回路的可能性。
Wormholes
Time Limit: 2000MS Memory Limit: 65536K
Total Submissions: 27177 Accepted: 9784

Description

While exploring his many farms, Farmer John has discovered a number of amazing wormholes. A wormhole is very peculiar because it is a one-way path that delivers you to its destination at a time that is BEFORE you entered the wormhole! Each of FJ's farms comprises N (1 ≤ N ≤ 500) fields conveniently numbered 1..NM (1 ≤M ≤ 2500) paths, and W (1 ≤ W ≤ 200) wormholes.

As FJ is an avid time-traveling fan, he wants to do the following: start at some field, travel through some paths and wormholes, and return to the starting field a time before his initial departure. Perhaps he will be able to meet himself :) .

To help FJ find out whether this is possible or not, he will supply you with complete maps to F (1 ≤ F ≤ 5) of his farms. No paths will take longer than 10,000 seconds to travel and no wormhole can bring FJ back in time by more than 10,000 seconds.

Input

Line 1: A single integer, FF farm descriptions follow. 
Line 1 of each farm: Three space-separated integers respectively: NM, and W 
Lines 2..M+1 of each farm: Three space-separated numbers (SET) that describe, respectively: a bidirectional path between S and E that requires T seconds to traverse. Two fields might be connected by more than one path. 
Lines M+2..M+W+1 of each farm: Three space-separated numbers (SET) that describe, respectively: A one way path from S to E that also moves the traveler back T seconds.

Output

Lines 1..F: For each farm, output "YES" if FJ can achieve his goal, otherwise output "NO" (do not include the quotes).

Sample Input

2
3 3 1
1 2 2
1 3 4
2 3 1
3 1 3
3 2 1
1 2 3
2 3 4
3 1 8

Sample Output

NO
YES

Hint

For farm 1, FJ cannot travel back in time. 
For farm 2, FJ could travel back in time by the cycle 1->2->3->1, arriving back at his starting location 1 second before he leaves. He could start from anywhere on the cycle to accomplish this.

<pre name="code" class="cpp">#include <iostream>
#include <cstdio>
#include <cstring>
#include <queue>
#include <vector>
using namespace std;

int n, m, w;
int map[510][510];
bool visit[510];
int path[510], in[510];

bool spfa()
{
	queue<int>q;
	visit[1] = 1;
	path[1] = 0;
	in[1]++;
	q.push(1);
	while (!q.empty())
	{
		int v = q.front();
		q.pop();
		if (in[v] >= n)
			return 1;
		visit[v] = 0;
		for (int i = 1; i <= n; i++)
		{
			if (path[v] + map[v][i] < path[i])
			{
				path[i] = path[v] + map[v][i];
				if (!visit[i])
				{
					visit[i] = 1;
				
					if (in[i] >= n)
						return 1;
					q.push(i);
					in[i]++;
				
				}
			} 
		}
		visit[v] = 1;
	}
	return 0;
}

int main()
{
	int t;
	scanf("%d", &t);
	while (t--)
	{
		memset(path, 0x3f, sizeof (path));
		memset(visit, 0, sizeof (visit));
		memset(in, 0, sizeof (in));
		memset(map, 0x3f, sizeof(map));
		scanf("%d%d%d", &n, &m, &w);
		for (int i = 0; i < m; i++)
		{
			int a, b, c;
			scanf("%d%d%d", &a, &b, &c);
			if (map[a][b] > c)
			{
				map[a][b] = c;
				map[b][a] = c;
			}
		}
		for (int i = 0; i < w; i++)
		{
			int a, b, c;
			scanf("%d%d%d", &a, &b, &c);
			c = -c;
			if (map[a][b] > c)
				map[a][b] = c;
		}
		if (spfa())
			printf("YES\n");
		else 
			printf("NO\n");
		
	}
	return 0;
}




内容概要:本文系统介绍了算术优化算法(AOA)的基本原理、核心思想及Python实现方法,并通过图像分割的实际案例展示了其应用价值。AOA是一种基于种群的元启发式算法,其核心思想来源于四则运算,利用乘除运算进行全局勘探,加减运算进行局部开发,通过数学优化器加速函数(MOA)和数学优化概率(MOP)动态控制搜索过程,在全局探索与局部开发之间实现平衡。文章详细解析了算法的初始化、勘探与开发阶段的更新策略,并提供了完整的Python代码实现,结合Rastrigin函数进行测试验证。进一步地,以Flask框架搭建前后端分离系统,将AOA应用于图像分割任务,展示了其在实际工程中的可行性与高效性。最后,通过收敛速度、寻优精度等指标评估算法性能,并提出自适应参数调整、模型优化和并行计算等改进策略。; 适合人群:具备一定Python编程基础和优化算法基础知识的高校学生、科研人员及工程技术人员,尤其适合从事人工智能、图像处理、智能优化等领域的从业者;; 使用场景及目标:①理解元启发式算法的设计思想与实现机制;②掌握AOA在函数优化、图像分割等实际问题中的建模与求解方法;③学习如何将优化算法集成到Web系统中实现工程化应用;④为算法性能评估与改进提供实践参考; 阅读建议:建议读者结合代码逐行调试,深入理解算法流程中MOA与MOP的作用机制,尝试在不同测试函数上运行算法以观察性能差异,并可进一步扩展图像分割模块,引入更复杂的预处理或后处理技术以提升分割效果。
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