Topic Links:
http://acm.hdu.edu.cn/showproblem.php?pid=5486
Test instructions
Give you each element at the beginning of the collection to which it belongs, and the last collection to which it belongs, ask how many times the collection is detached, and the operation and the invariant operation.
Separation: [M1,M2,M3]->[M1],[M2],[M3]
Merging: inverse operation of separation
Unchanged: [M1,M2,M3]->[M1,M2,M3]
Exercises
Build a set of units, (an element from the collection S1 to S2 constructs an edge join collection S1,S2, note to delete the heavy edges)
Then for each point, the point adjacent to it, if the degree is 1, is the detach operation,
Transpose the picture, then run it again the separation is the merger.
If a collection has only one link to its own side, then it is a 1:1 operation.
Code:
#include <iostream> #include <cstdio> #include <map> #include <vector> #include <algorithm > #include <cstring>using namespace std;const int maxn = 1e6 + 10;int n,_max;map<pair<int, Int>, int> m P;vector<int> G[MAXN], G2[maxn];int IN[MAXN], in2[maxn];void init () {_max = -1;mp.clear (); for (int i = 0; I <maxn ; i++) G[i].clear (), G2[i].clear (), memset (in, 0, sizeof (in)), memset (in2, 0, sizeof (in2));} int main () {int tc,kase=0;scanf ("%d", &TC), while (tc--) {scanf ("%d", &n), Init (); for (int i = 0; i < n; i++) {in t u, V;_max = max (_max, u), _max = max (_max, v), scanf ("%d%d", &u, &v), if (!mp[make_pair (U, v)]) {Mp[make_pair (U, v) ]++; G[u].push_back (v); in[v]++; G2[v].push_back (u); in2[u]++;}} int ans1=0, ans2=0,ans3=0;for (int i = 0; I <= _max; i++) {int su = 1;for (int j = 0; J < G[i].size (), j + +) {int v = G[i][j];if (In[v] > 1) {su = 0; break;}} if (su) {if (g[i].size () = = 1) ans3++;else if (g[i].size () >1) ans2++;}} for (int i =0; I <= _max; i++) {int su = 1;for (int j = 0; J < G2[i].size (), j + +) {int v = g2[i][j];if (In2[v] > 1) {su = 0; break;}} if (su) {if (g2[i].size () = = 1); else if (G2[i].size () >1) ans1++;}} printf ("Case #%d:%d%d%d\n", ++kase, Ans2,ans1, ANS3);} return 0;}
HDU 5486 difference of clustering graph theory