赞
踩
动态规划(Dynamic Programming)算法与LC实例的理解
题目1: 求一棵二叉树的最大深度
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.
- /**
- * Definition for binary tree
- * public class TreeNode {
- * int val;
- * TreeNode left;
- * TreeNode right;
- * TreeNode(int x) { val = x; }
- * }
- */
- //求二叉树的最大深度
- public class Solution {
- public int maxDepth(TreeNode root) {
- if(root==null)
- return 0;
- int lDepth= maxDepth(root.left);
- int rDepth= maxDepth(root.right);
- return 1+( lDepth>rDepth ? lDepth: rDepth); //左右子树 选最大深度者(即使一侧没有节点也没关系 肯定选最大的 和0无关)
- }
- }
题目2:求一棵二叉树的最小深度(需要考虑一侧无子节点情况)
Given a binary tree, find its minimum depth.The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node.
- /**
- * Definition for binary tree
- * public class TreeNode {
- * int val;
- * TreeNode left;
- * TreeNode right;
- * TreeNode(int x) { val = x; }
- * }
- */
- public class Solution {
- public int run(TreeNode root) {
- if(root==null)
- return 0;
- int lDepth=run(root.left);
- int rDepth=run(root.right);
- if(lDepth==0 || rDepth==0) //需要考虑可能没有一侧子节点的情况 这样最小的是0 但只有根节点 不能算是到叶子节点的最短路径
- return lDepth+rDepth+1;
- return 1+(lDepth< rDepth? lDepth: rDepth);
- }
- }
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。