Diameter of binary tree [DFS]¶
Time: O(N); Space: O(H); easy
Given a binary tree, you need to compute the length of the diameter of the tree.
The diameter of a binary tree is the length of the longest path between any two nodes in a tree. This path may or may not pass through the root.
Example 1:
1
/ \
2 3
/ \
4 5
Input: root = {TreeNode} [1,2,3,4,5]
Output: 3
Explanation:
3 is the length of the path [4,2,1,3] or [5,2,1,3]
Example 2:
2
/
3
/
1
Input: root = {TreeNode} [2,3,#,1]
Output: 2
[12]:
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
1. Depth-First Search¶
Intuition
Any path can be written as two arrows (in different directions) from some node, where an arrow is a path that starts at some node and only travels down to child nodes.
If we knew the maximum length arrows L, R for each child, then the best path touches L + R + 1 nodes.
Algorithm
Let’s calculate the depth of a node in the usual way: max(depth of node.left, depth of node.right) + 1.
While we do, a path “through” this node uses 1 + (depth of node.left) + (depth of node.right) nodes.
Let’s search each node and remember the highest number of nodes used in some path.
The desired length is 1 minus this number.
[13]:
class Solution1(object):
def diameterOfBinaryTree(self, root):
"""
:type root: TreeNode
:rtype: int
"""
def depth(root, diameter):
if not root:
return 0, diameter
left, diameter = depth(root.left, diameter)
right, diameter = depth(root.right, diameter)
return 1 + max(left, right), max(diameter, 1 + left + right)
return depth(root, 1)[1] - 1
[14]:
s = Solution1()
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.left = TreeNode(4)
root.left.right = TreeNode(5)
assert s.diameterOfBinaryTree(root) == 3
root = TreeNode(2)
root.left = TreeNode(3)
root.left.left = TreeNode(1)
assert s.diameterOfBinaryTree(root) == 2