The article directories
- Kruskal algorithm
- The title
-
- Analysis of the
- code
- summary
Kruskal algorithm
Kruskal algorithm adds edges from small to large according to edge weight. If a ring is generated by adding edges (and judging by the set), this edge is thrown away until n-1 edges are added, that is, a tree is formed.
The title
There is a large Room in the pyramid called room-of-no-return, and unfortunately Magicpig is currently trapped in this Room. There are some hooks on the floor of the room. On the walls of the room there is some ancient Egyptian writing: “If you want to escape from here, you must connect all these hooks with ropes, then a secret door opens and you will be free. If you can’t, you’ll be stuck here forever.” Fortunately, Magicpig has a rope of length L that he can cut into segments with two hooks attached to each segment. If he can connect all the hooks with this rope and the connected rope does not loop, he can escape! Kinfkong wants to know if he can escape.
Input format:
The input contains one or more data sets. In line 1 of each input data set there are two integers n and L, where n is the number of hooks and L is the length of the rope. The next n lines contain a series of coordinates for the hook, each of which is a pair of non-negative integers less than 32768, separated by Spaces (2<=n<=100, L<=32767). A zero number of hooks indicates the end of input.
Output format:
For each dataset, if Magicpig can escape, print a string of “Success!” , otherwise print “Poor Magicpig! .
Example Input:
2 1
0 0
1 1
2 2
0 0
1 1
0
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Example output:
Poor magicpig!
Success!
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Analysis of the
First of all, prepare the coordinates read into the topic to build a fully connected graph and get the edge (two point distance formula). Then, Krusakal algorithm is applied to sort the edges, traverse each time to select the smallest edge, and then determine whether its two endpoints are in the same set with union search set. If not, add the edge and update the cost and merge operation. Finally return the cost and rope length can be compared.
code
#include<bits/stdc++.h>
using namespace std;
#define maxn 102
int n, m;
int cnt;/ / the number of edges
int root[maxn];
struct node {
int x, y;/ / coordinates
int idx;/ / the subscript
}points[maxn];
struct node2 {
int u, v;/ / the endpoint
double cost;/ / has a weight
}edge[maxn*maxn];
bool cmp(node2 a, node2 b) {
return a.cost < b.cost;
}
int Find(int x) {
return root[x] == x ? x : root[x] = Find(root[x]);
}
double Kruskal(a) {
for (int i = 0; i <= n; i++)
root[i] = i;
sort(edge + 1, edge + cnt, cmp);
double ans = 0;
for (int i = 1; i <= cnt; i++) {
int u = Find(edge[i].u);
int v = Find(edge[i].v);
if(u ! = v) { root[u] = v;//Unionans += edge[i].cost; }}// Determine the disconnected graph
return ans;
}
int main(a) {
while (~scanf("%d", &n) && n ! =0) {
scanf("%d", &m);
for (int i = 1; i <= n; i++) {
scanf("%d%d", &points[i].x, &points[i].y);
points[i].idx = i;
}
cnt = 1;
for (int i = 1; i <= n; i++) {
for (int j = i + 1; j <= n; j++) {
edge[cnt].u = points[i].idx;
edge[cnt].v = points[j].idx;
double cost = pow(points[i].x - points[j].x, 2);
cost += pow(points[i].y - points[j].y, 2);
cost = sqrt(cost); edge[cnt].cost = cost; cnt++; }}double ans = Kruskal(a);if (ans > m)printf("Poor magicpig! \n");
else printf("Success! \n");
}
return 0;
}
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summary
- In general, Kruskal algorithm finally needs to judge whether the graph constructed is a connected graph or not. In this case, it is omitted to obtain a fully connected graph by finding two edges of coordinates.
- Graph storage problem: if the adjacency matrix exceeds the limit, consider the adjacency list (vector implementation).
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