105. Construct Binary Tree from Preorder and Inorder Traversal
Problem Statement
Given two integer arrays preorder
and inorder
where preorder
is the preorder traversal of a binary tree and inorder
is the inorder traversal of the same tree, construct and return the binary tree.
Example 1:
Input: preorder = [3,9,20,15,7], inorder = [9,3,15,20,7]
Output: [3,9,20,null,null,15,7]
Example 2:
Input: preorder = [-1], inorder = [-1]
Output: [-1]
Constraints:
1 <= preorder.length <= 3000
inorder.length == preorder.length
-3000 <= preorder[i], inorder[i] <= 3000
preorder
andinorder
consist of unique values.Each value of
inorder
also appears inpreorder
.preorder
is guaranteed to be the preorder traversal of the tree.inorder
is guaranteed to be the inorder traversal of the tree.
Intuition
Approach:
Maintain two indexes in pre and inorder array
When start crosses end, We stop , elements over
Now What we do is we hash the inorder elements
And notice that
Inorder is Left Root Right
Preorder is Root Left Right
Now We shift the pointers accordingly
Like when we take preorder for next left sub-tree
We take preorder +1 to preorder+no_elements (between inorder start to index of root)
As all the preorder are in line
Links
https://leetcode.com/problems/construct-binary-tree-from-preorder-and-inorder-traversal/
Video Links
https://www.youtube.com/watch?v=aZNaLrVebKQ&ab_channel=takeUforward
Approach 1:
class Solution {
public:
unordered_map<int, int>mp;
TreeNode* Tree(vector<int>& preorder, int pre_start, int pre_end, vector<int>& inorder, int in_start, int in_end){
if(pre_start > pre_end or in_start > in_end)
return nullptr;
TreeNode *root = new TreeNode(preorder[pre_start]);
int inRoot = mp[root->val];
int numsLeft = inRoot-in_start;
root->left = Tree(preorder, pre_start+1, pre_start+numsLeft, inorder, in_start, inRoot-1);
root->right = Tree(preorder, pre_start+1+numsLeft, pre_end, inorder, inRoot+1, in_end);
return root;
}
TreeNode* buildTree(vector<int>& preorder, vector<int>& inorder) {
for(int i=0; i<inorder.size(); i++)
mp[inorder[i]] = i;
return Tree(preorder, 0, preorder.size()-1, inorder, 0, inorder.size()-1);
}
};
Approach 2:
Approach 3:
Approach 4:
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