Problem Description
Design an algorithm to encode an N-ary tree into a binary tree and decode the binary tree to recover the original N-ary tree. In an N-ary tree, each node can have up to N children while a binary tree node has at most two children. The challenge is to ensure that the encoding and decoding algorithms are stateless and one can correctly reconstruct the original tree structure.
Key Insights
- Use the Left-Child Right-Sibling representation.
- In the binary tree:
- The left pointer of a node will represent its first child.
- The right pointer links siblings (secondary children of the same parent).
- Encoding involves converting each N-ary node by mapping its first child to the binary tree left pointer and chaining additional children via the right pointers.
- Decoding reverses the process by traversing the left pointer for the first child and following right pointers for further siblings.
Space and Time Complexity
Time Complexity: O(N), where N is the number of nodes (each node is processed once).
Space Complexity: O(N) due to recursion stack or auxiliary data structures used during traversal.
Solution
We employ the left-child right-sibling technique. For encoding:
- Create a binary tree node corresponding to the N-ary node.
- Set its left pointer to the encoding of the first child.
- For the remaining children, link them via right pointers iteratively. For decoding:
- Convert the binary tree node back to an N-ary node.
- Traverse the left subtree (which encodes the list of children) by iterating over the chain of right pointers, decoding each and adding them as children of the N-ary node.
This method maintains a one-to-one mapping between the N-ary tree and its binary tree representation.