Problem Description
Given a tree with n nodes (labeled from 1 to n) where the parent of any node v is floor(v/2) (with node 1 as the root), initially every node has a value 0. For each query in the array queries, flip all values in the subtree of the node with that label (flipping means converting 0 to 1 and vice versa). Return the total number of nodes with value 1 after processing all the queries.
Key Insights
- The tree has a natural structure similar to a binary heap where for any node v, its children (if they exist) are 2v and 2v+1.
- A subtree flip can be thought of as toggling a flip flag over a range of nodes.
- Using an Euler Tour / DFS traversal, we can record an entry (in) and exit (out) time for each node such that the subtree of any node forms a contiguous segment.
- We can then perform range updates (increment at the entry time and decrement at the exit time) and later compute the prefix sum to determine if a node was flipped an odd number of times (resulting in a value 1) or an even number of times (remaining 0).
Space and Time Complexity
Time Complexity: O(n + q) where n is the number of nodes and q is the number of queries. Space Complexity: O(n) for storing the Euler Tour information and difference array.
Solution
We solve the problem by leveraging an Euler Tour technique:
- Perform a DFS from the root to record in and out times for each node; due to the binary tree structure, the children of node i are 2i and 2i+1 if they exist (i.e., if they are ≤ n).
- Create an auxiliary array (diff) representing a difference array over the Euler Tour ordering.
- For each query with node v, update diff[in[v]] by adding 1 and diff[out[v]] by subtracting 1. This marks the segment corresponding to the subtree of v to be flipped.
- Process the difference array to build a prefix sum array, and for each node check if the prefix sum is odd. If so, the node’s value is 1; otherwise, it remains 0.
- Count the number of nodes with value 1.
This approach avoids individually processing each subtree per query, making it efficient even with up to 10^5 nodes and queries.