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LeetCode: Construct Binary Tree from Inorder and Postorder Traversal 解题报告

Construct Binary Tree from Inorder and Postorder Traversal

Given inorder and postorder traversal of a tree, construct the binary tree.

Note:
You may assume that duplicates do not exist in the tree.

 

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 Tree Array Depth-first Search
 

SOLUTION 1:

使用递归的思想,先找到根节点(它就是post order最后一个),然后再在inorder中找到它,以确定左子树的node个数。
然后分别确定左子树右子树的左右边界
例子:
{4, 5, 2, 7, 8, 1, 3}这树的
inorder: 7 5 8 | 4 | 1 2 3
post: 7 8 5 | 1 3 2 | 4
以上我们可以看到左右子树的划分关系。
技术分享
 1 /** 2  * Definition for binary tree 3  * public class TreeNode { 4  *     int val; 5  *     TreeNode left; 6  *     TreeNode right; 7  *     TreeNode(int x) { val = x; } 8  * } 9  */10 public class Solution {11     public TreeNode buildTree(int[] inorder, int[] postorder) {12         if (inorder == null || postorder == null) {13             return null;14         }15         16         return dfs(inorder, postorder, 0, inorder.length - 1, 0, postorder.length - 1);17     }18     19     public TreeNode dfs(int[] inorder, int[] postorder, int inL, int inR, int postL, int postR) {20         if (inL > inR) {21             return null;22         }23         24         // create the root node.25         TreeNode root = new TreeNode(postorder[postR]);26         27         // find the position of the root node in the inorder traversal.28         int pos = 0;29         for (; pos <= inR; pos++) {30             if (inorder[pos] == postorder[postR]) {31                 break;32             }33         }34         35         int leftNum = pos - inL;36         37         root.left = dfs(inorder, postorder, inL, pos - 1, postL, postL + leftNum - 1);38         root.right = dfs(inorder, postorder, pos + 1, inR, postL + leftNum, postR - 1);39         40         return root;41     }42 }
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代码: https://github.com/yuzhangcmu/LeetCode_algorithm/blob/master/tree/BuildTree2.java

LeetCode: Construct Binary Tree from Inorder and Postorder Traversal 解题报告