Given a binary tree, find its maximum depth.
The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.
Solution1: recursionRun time complexity is O(n), stack space.
/** * Definition for binary tree * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */ public class Solution { public int maxDepth(TreeNode root) { if(root == null) return 0; else return 1 + Math.max(maxDepth(root.left), maxDepth(root.right)); } }Solution2: iterative
BFS。一直走到最后再返回深度。
Run time complexity is O(n), space complexity is O(n).
/** * Definition for binary tree * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */ public class Solution { public int maxDepth(TreeNode root) { if(root == null) return 0; LinkedListqueue = new LinkedList (); int lastNum = 1; int curNum = 0; int level = 0; queue.offer(root); while(!queue.isEmpty()) { TreeNode cur = queue.poll(); lastNum--; if(cur.left != null) { queue.offer(cur.left); curNum++; } if(cur.right != null) { queue.offer(cur.right); curNum++; } if(lastNum == 0) { lastNum = curNum; curNum = 0; level++; } } return level; } }
No comments:
Post a Comment