Halo :D!

Story: It was 4AM and i was unable to sleep so i brought you a nice trick and couple of problems to practice it.

Introduction

(Our dp changes if we change root of the tree, otherwise it wont make any sens to use this trick)

Lets say we want to find $$$dp_v$$$ for every vertex in a tree, this dp must be updated using the children of vertex $$$v$$$. Then the trick allows you to move the root from a vertex to one of it's adjacent vertices in $$$O(1)$$$.

It will be much better if the problem wants you to move the root to all vertices and find maximum of dp-s or etc.

Implementation

First calculate dp for a root $$$rat$$$. Its obvious that if we change root $$$r$$$ to one of its adjacent vertex $$$v$$$, then only $$$dp_r$$$ and $$$dp_v$$$ can change, so that we can update $$$dp_r$$$ using its new children and past $$$dp_r$$$, also $$$dp_v$$$ can be updated the same way.

Note: Don't iterate over $$$r$$$ and $$$v$$$ children, it will be $$$O(\sum\limits_v\binom{d_v}{2})$$$ if you do it and $$$W(n^2)$$$ so just don't.($$$d_v$$$ is the degree of vertex $$$v$$$)

Now being able to move the root with distance one, we will run a dfs from $$$rat$$$, and move the root with dfs.

See the semi-code below, i hope it helps for better understanding:

void dfs(int nw){
      int fixDPnow = dp[nw], fixDPv;
      for(v in *children* of nw){//we mean the exact children of nw if we hang the tree from rat
            fixDPv = dp[v];
            move(v);//it will move the root to v and update dp
            dfs(v);
            //following two lines will move back the root to nw and update the dp
            dp[v] = fixDPv;
            dp[nw] = fixDPnow;
      }
}

int main(){
      calculateDP(rat);//it will calculate the DP when it's root is rat
      dfs(rat);//this will calculate move the root to all the vertices
}

Problems

Problem1 Solution

Problem2//i cant open atcoder =(.

Problem3 Solution//this solution will be updated to highlight the trick

Problem4//again i cant see the problem but i believe i have solved it.

Problem5//no solution right now

Probelm6//no solution right now

Please comment the problems which can be solved using this trick.

Advanced

Lets say that the problem has queries, such that each query gives two vertices $$$r$$$ and $$$v$$$ and wants you to calculate $$$f(r, v)$$$, its equal to $$$dp_v$$$ when the root is $$$r$$$. It can be solved with rerooting + LCA, it will need additional $$$O(n)$$$ memory and answers each query in $$$O(Q*(L+log_2n))$$$ time(our LCA answers each query in $$$O(L)$$$ time).

So lets see how it works, for every edge($$$v$$$ \to $$$u$$$) find $$$dp_v$$$ if the root is $$$u$$$ and $$$dp_u$$$ if the root is $$$v$$$, also for every vertex $$$v$$$ find $$$dp_v$$$ if $$$v$$$ is the root, it will take the time it takes to move the root around and an additional $$$O(n)$$$ memory at all. Then if the query is in form $$$v$$$ and $$$v$$$(i.e. it wants to find $$$dp_v$$$ such that the tree is rooted at vertex $$$v$$$ itself) so we have calculated and just print it, otherwise the problem is reduced to the following problem:

You are given two vertices $$$v$$$ and $$$u$$$$$$(u \ne v)$$$ what is the second vertex in the unique path from $$$v$$$ to $$$u$$$(it means we want to find out which child of $$$v$$$ is the closest to $$$u$$$).

This problem can be solved using LCA(we say the root of the tree is vertex 1 for LCA), find they're LCA, if it wasn't equal to $$$v$$$, then the answer is $$$v$$$'s parent(the root is vertex 1), otherwise move $$$u$$$ using binary lifting until it's depth is equal to $$$v$$$'s depth plus 1, it can be done in $$$O(log_2n)$$$, let the answer to the reduced problem be $$$z$$$, then the answer to the whole query is equal to $$$f(z, v)$$$ such that $$$z$$$ is adjacent to $$$v$$$ we have precalculated this value so just print it :).

I hope it will help you with solving DP-Tree problems, the implementation will be added.

Thanks for your attention.