Centroid Decomposition on a tree(Beginner)

Правка en6, от YoyOyoYOy000y000, 2020-02-08 00:13:46

I think lots of resource in online about this topics. But i thought i can explain it with a better way.

When Centroid Decomposition comes?

  1. Suppose a problem says that how many paths have length exactly k in a tree.
  2. Or, how many paths have xor k.
  3. Sum of all xor path in a tree.
  4. update a node Black to white or white to black. now query the shortest path from a node to a white node. etc.

So , it is clear , when a paths problem comes then we can use Centroid Decomposition.

For single node query or from a specific node , Dsu on Tree may do it.

Algorithm:

1. Find a centroid of current tree T.

What is Centroid?

Simply Centroid is a node, if we delete it. It makes some subtrees where every subtree size must be less than sz/2 { sz is the size of current tree T.}

How can we find it?

=> Take a node random node of current tree T. Now if its every subtree size less than sz/2. Then it is a centroid. => If not, go to highest size of subtree.

Note : In a tree only two Centroid possible From Jordan Theorem

=> Same thing must be done.

In this graph. If we start from node 1. Then Size[2]=7 which is larger than 11/2. so 1 is not centroid. Go to the 2. Now every subtree size less than 11/2. So for this graph centroid is 2.

Here is the code for finding centroid of current Tree.


/// 'u' will give us the centroid int u = _u; while (true) { int nu = -1; for (int v : e[u]) { if (!tocheck[v] || v == p[u]) continue; if (1 + size[v] > sz / 2) nu = v; } if (sz — 1 — size[u] > sz / 2 && p[u] != -1 &&tocheck[p[u]]) nu = p[u]; if (nu != -1) u = nu; else break; } /// tocheck array check whether this node already done as a centroid of any tree or not /// For size array you need just a dfs call void dfs(int u) { for (int v : e[u]) { if (v == p[u]) continue; p[v] = u; dfs(v); size[u] += 1 + size[v]; } }

2. Problem Solving part.

Before Deleting centroid. we must find the answer for current Tree T.

**You must solve this part with O(sz) time**

suppose we need to find how many paths length equal k. Then we need to compute for current tree T.

**how many paths go through the centroid of T which length equal k?**

Take your time and think about it. If we call a dfs from centroid node and find the length of all node from centoid , then it will be easiar for us.

void dfs2(int u,int p,int val,bool flag)
{
    if(flag) cnt[val]++;
    else cnt[val]--;
    for(auto v : e[u])
    {
        if(tocheck[v] && v!=p)
        {
            dfs2(v,u,val+1,flag);
        }
    }

}
void solve(int u,int p,int val)
{
    if(val>k) return ;
    sol+=cnt[k-val];
    for(auto v : e[u])
    {
        if(tocheck[v] && v!=p)
        {
            solve(v,u,val+1);
        }
    }
}
void func(int u,int par)
{
        sol=0;
	dfs2(u,par,0,1);
	sol+=cnt[k];
	for(auto X : e[u])
        {
            if(tocheck[X])
            {
                dfs2(X,u,1,0);
                solve(X,u,1);
                dfs2(X,u,1,1);
            }
        }
        ans+=sol/2;
}

3. Delete the Centroid node C and find the new centroid of all subtrees.

4. Repeat same Thing from 1 to 3 for every subtree.

Property:

  1. The main property here is every node comes logn times under a centroid. So total complexity NlogN .
  2. Any path property like distance/xor/sum/etc. we can compute (logn+logn)times. Cause Highest depth for centroid Tree is logn.
  3. LCA of any two node in centroid tree logn.

Full Code is here for finding all path length equal to k

#define ll              long long
#define vi              vector<int >
#define vil             vector<ll >
#define pb              push_back
#define fi              first
#define sc              second
#define pii             pair<int , int >

const int N   = 500050;
const int INF = 1e9+100;
ll sol,k,ans;
struct CentroidDecomposition {
    /// cd for Centroid Tree
    /// e for Main tree
	vector<vi> cd, &e;
	/// tocheck for checking a node is already in centroid tree or not?
	vector<bool> tocheck;
	/// p for tracking parent of a node
	/// cnt for counting length
	vi size, p,cnt;
	/// centroid Tree root
	int root;
	CentroidDecomposition(vector<vi> &tree) : e(tree) {
		int sz = e.size();
		tocheck.assign(sz, true);
		col.assign(sz, false);
		cd.assign(sz, vi());
		p.assign(sz, -1);
		cnt.assign(N, 0);
		size.assign(sz, 0);
		dfs(0);
		root = decompose(0, sz,-1);
	}
	void dfs(int u) {
		for (int v : e[u]) {
			if (v == p[u]) continue;
			p[v] = u;
			dfs(v);
			size[u] += 1 + size[v];
		}
	}
/// we can solve it for any amount of k
void dfs2(int u,int p,int val,bool flag)
{
    if(flag) cnt[val]++;
    else cnt[val]--;
    for(auto v : e[u])
    {
        if(tocheck[v] && v!=p)
        {
            dfs2(v,u,val+1,flag);
        }
    }

}
void solve(int u,int p,int val)
{
    if(val>k) return ;
    sol+=cnt[k-val];
    for(auto v : e[u])
    {
        if(tocheck[v] && v!=p)
        {
            solve(v,u,val+1);
        }
    }
}
/// finiding centroid and get answer for this centroid
	int decompose(int _u, int sz,int par) {
		int u = _u;
		while (true) {
			int nu = -1;
			for (int v : e[u]) {
				if (!tocheck[v] || v == p[u]) continue;
				if (1 + size[v] > sz / 2) nu = v;
			}
			if (sz - 1 - size[u] > sz / 2 && p[u] != -1
				&&tocheck[p[u]]) nu = p[u];
			if (nu != -1) u = nu; else break;
		}
		for (int v = p[u]; v != -1 && tocheck[v]; v = p[v])
			size[v] -= 1 + size[u];
		sol=0;
		dfs2(u,par,0,1);
		sol+=cnt[k];
		for(auto X : e[u])
        {
            if(tocheck[X])
            {
                dfs2(X,u,1,0);
                solve(X,u,1);
                dfs2(X,u,1,1);
            }
        }
        ans+=sol/2;
        dfs2(u,par,0,0);
		tocheck[u] = false;
		for (int v : e[u]) {
			if (!tocheck[v]) continue;
			int V2 = 1 + size[v];
			if (v == p[u]) V2 = sz - 1 - size[u];
			cd[u].push_back(decompose(v, V2,u));
		}
		return u;
	}
};

int main(){
	int n;
	cin >> n>>k;
	vector<vi> tree(n, vi());
	for (int i = 0; i < n - 1; ++i) {
		int a, b;
		cin >> a >> b;
		a--; b--;
		tree[a].push_back(b);
		tree[b].push_back(a);
	}
	CentroidDecomposition cd(tree);
	cout<<ans<<endl;
	return 0;
}

** More problem **

  1. Distance in Tree

  2. Xenia and Tree

  3. Qtree5

  4. PrimeDist

  5. Ciel the Commander

  6. Freezing with Style

  7. Digit Tree

  8. Close Vertices

  9. Sherlock's bet to Moriarty

  10. Red-Black Cobweb

You can also check this for better understanding

Centroid Decomposition of a Tree by Tanuj Khattar

Sorry for bad grammatical issues. And this is my first tutorial blog, so don't take seriously formy mistakes

** Thank You **

Теги centroid decomposition, paths, tree problem, centroid

История

 
 
 
 
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  Rev. Язык Кто Когда Δ Комментарий
en8 Английский YoyOyoYOy000y000 2021-01-14 19:29:39 489
en7 Английский YoyOyoYOy000y000 2020-02-08 00:17:03 86
en6 Английский YoyOyoYOy000y000 2020-02-08 00:13:46 452
en5 Английский YoyOyoYOy000y000 2020-02-07 21:50:23 4 Tiny change: 'ree . **\n~~~~~\n\' -> 'ree . **\n\n~~~~~\n\'
en4 Английский YoyOyoYOy000y000 2020-02-07 21:48:30 126
en3 Английский YoyOyoYOy000y000 2020-02-07 20:55:49 4 Tiny change: 'tree only one Centroid ' -> 'tree only two Centroid '
en2 Английский YoyOyoYOy000y000 2020-02-07 19:37:51 346 Tiny change: 'ng part.\n Be' -> 'ng part.\n\n Be'
en1 Английский YoyOyoYOy000y000 2020-02-07 19:14:57 7352 Initial revision (published)