Given a binary tree, write a function to get the maximum width of the given tree. The width of a tree is the maximum width among all levels. The binary tree has the same structure as a full binary tree, but some nodes are null.
The width of one level is defined as the length between the end-nodes (the leftmost and right most non-null nodes in the level, where the null nodes between the end-nodes are also counted into the length calculation.
Example 1:
Input:
\
3 2
/ \ \
Output: 4
Explanation: The maximum width existing in the third level with the length 4 (5,3,null,9).
Example 2:
Input:
\
Output: 2
Explanation: The maximum width existing in the third level with the length 2 (5,3).
Example 3:
Input:
\
Output: 2
Explanation: The maximum width existing in the second level with the length 2 (3,2).
Example 4:
Input:
\
3 2
/ \
5 9
/ \
Output: 8
Explanation:The maximum width existing in the fourth level with the length 8 (6,null,null,null,null,null,null,7).
Note: Answer will in the range of 32-bit signed integer.
思路:
Depth-First Search
Intuition and Algorithm
Traverse each node in depth-first order, keeping track of that node’s position. For each depth, the position of the first node reached of that depth will be kept in left[depth].
Then, for each node, a candidate width is pos - left[depth] + 1. We take the maximum of the candidate answers.
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
int ans;
Map<Integer, Integer> left;
public int widthOfBinaryTree(TreeNode root) {
ans = 0;
left = new HashMap();
dfs(root, 0, 0);
return ans;
}
public void dfs(TreeNode root, int depth, int pos) {
if (root == null) return;
left.computeIfAbsent(depth, x-> pos);
ans = Math.max(ans, pos - left.get(depth) + 1);
dfs(root.left, depth + 1, 2 * pos);
dfs(root.right, depth + 1, 2 * pos + 1);
}
}