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。
 /**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public TreeNode buildTree(int[] inorder, int[] postorder) {
if (inorder == null || postorder == null) {
return null;
} return dfs(inorder, postorder, 0, inorder.length - 1, 0, postorder.length - 1);
} public TreeNode dfs(int[] inorder, int[] postorder, int inL, int inR, int postL, int postR) {
if (inL > inR) {
return null;
} // create the root node.
TreeNode root = new TreeNode(postorder[postR]); // find the position of the root node in the inorder traversal.
int pos = 0;
for (; pos <= inR; pos++) {
if (inorder[pos] == postorder[postR]) {
break;
}
} int leftNum = pos - inL; root.left = dfs(inorder, postorder, inL, pos - 1, postL, postL + leftNum - 1);
root.right = dfs(inorder, postorder, pos + 1, inR, postL + leftNum, postR - 1); return root;
}
}

代码: https://github.com/yuzhangcmu/LeetCode_algorithm/blob/master/tree/BuildTree2.java

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