[leetcode]1379. Find a Corresponding Node of a Binary Tree in a Clone of That Tree

[leetcode]1379. Find a Corresponding Node of a Binary Tree in a Clone of That Tree

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leetcode

description

  Given two binary trees original and cloned and given a reference to a node target in the original tree.

  The cloned tree is a copy of the original tree.

  Return a reference to the same node in the cloned tree.

  Note that you are not allowed to change any of the two trees or the target node and the answer must be a reference to a node in the cloned tree.

Follow up: Solve the problem if repeated values on the tree are allowed.

Example 1:
img

Input: tree = [7,4,3,null,null,6,19], target = 3
Output: 3
  Explanation: In all examples the original and cloned trees are shown. The target node is a green node from the original tree. The answer is the yellow node from the cloned tree.
Example 2:
img

Input: tree = [7], target = 7
Output: 7
Example 3:
img

Input: tree = [8,null,6,null,5,null,4,null,3,null,2,null,1], target = 4
Output: 4
Example 4:
img

Input: tree = [1,2,3,4,5,6,7,8,9,10], target = 5
Output: 5
Example 5:
img

Input: tree = [1,2,null,3], target = 2
Output: 2

Constraints:

The number of nodes in the tree is in the range [1, 10^4].
The values of the nodes of the tree are unique.
target node is a node from the original tree and is not null.

solution

  Using the most simple BFS (breadth-first traversal) can be;

class Solution {
public:
	TreeNode* getTargetCopy(TreeNode* original, TreeNode* cloned, TreeNode* target) {
		queue<TreeNode*> oq, cq;
		if (original == NULL)
			return NULL;
		oq.push(original);
		cq.push(cloned);

		while (!oq.empty())
		{
			TreeNode *tmp = oq.front();
			TreeNode *tmpC = cq.front();

			oq.pop();
			cq.pop();

			if (tmp == target)
				return tmpC;

			if (tmp->left)
			{
				oq.push(tmp->left);
				cq.push(tmpC->left);
			}

			if (tmp->right)
			{
				oq.push(tmp->right);
				cq.push(tmpC->right);
			}
		}
		return NULL;
	}
};

analysis

  Time complexity of O (n); n is the number of nodes in a binary tree, each node of the tree is traversed only once;
  space complexity of O (1)

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Origin www.cnblogs.com/qwfand/p/12568547.html