leetcode
  • LeetCode Problems
  • Array
    • Array Partition I
    • Toeplitz Matrix
    • Find All Numbers Disappeared in an Array
    • Max Area of Island
    • Move Zeros
    • Two Sum II - Input array is sorted
    • Degree of an Array
    • Image Smoother
    • Positions of Large Groups
    • Missing Number
    • Maximum Product of Three Numbers
    • Min Cost Climbing Stairs
    • Longest Continuous Increasing Subsequence
    • Remove Element
    • Pascal's Triangle
    • Maximum Subarray
    • Largest Number At Least Twice of Others
    • Search Insert Position
    • Plus One
    • Find Pivot Index
    • Pascal's Triangle II
    • Two Sum
    • Maximize Distance to Closest Person
    • Maximum Average Subarray I
    • Remove Duplicates from Sorted Array
    • Magic Squares In Grid
    • Contains Duplicate II
    • Merge Sorted Array
    • Can Place Flowers
    • Shortest Unsorted Continuous Subarray
    • K-diff Pairs in an Array
    • Third Maximum Number
    • Rotate Array
    • Non-decreasing Array
    • Find All Duplicates in an Array
    • Teemo Attacking
    • Beautiful Arrangement II
    • Product of Array Except Self
    • Max Chunks To Make Sorted
    • Subsets
    • Best Time to Buy and Sell Stock with Transaction Fee
    • Combination Sum III
    • Find the Duplicate Number
    • Unique Paths
    • Rotate Image
    • My Calendar I
    • Spiral Matrix II
    • Combination Sum
    • Task Scheduler
    • Valid Triangle Number
    • Minimum Path Sum
    • Number of Subarrays with Bounded Maximum
    • Insert Delete GetRandom O(1)
    • Find Minimum in Rotated Sorted Array
    • Sort Colors
    • Find Peak Element
    • Subarray Sum Equals K
    • Subsets II
    • Maximum Swap
    • Remove Duplicates from Sorted Array II
    • Maximum Length of Repeated Subarray
    • Image Overlap
    • Length of Longest Fibonacci Subsequence
  • Contest
    • Binary Gap
    • Advantage Shuffle
    • Minimum Number of Refueling Stops
    • Reordered Power of 2
  • Dynamic Programming
    • Climbing Stairs
    • Range Sum Query - Immutable
    • Counting Bits
    • Arithmetic Slices
    • Palindromic Substrings
    • Minimum ASCII Delete Sum for Two Strings
    • Maximum Length of Pair Chain
    • Integer Break
    • Shopping Offers
    • Count Numbers with Unique Digits
    • 2 Keys Keyboard
    • Predict the Winner
    • Stone Game
    • Is Subsequence
    • Delete and Earn
    • Longest Palindromic Subsequence
    • Target Sum
    • Unique Binary Search Trees
    • Minimum Path Sum
    • Combination Sum IV
    • Best Time to Buy and Sell Stock with Cooldown
    • Largest Sum of Averages
    • Largest Plus Sign
    • Untitled
  • Invert Binary Tree
  • Intersection of Two Arrays
  • Surface Area of 3D Shapes
  • K Closest Points to Origin
  • Rotting Oranges
  • Smallest Integer Divisible by K
  • Duplicate Zeros
  • DI String Match
  • Implement Queue using Stacks
  • Increasing Order Search Tree
  • Reveal Cards In Increasing Order
  • Reshape the Matrix
  • Partition List
  • Total Hamming Distance
  • Validate Binary Search Tree
  • Decode Ways
  • Construct Binary Tree from Preorder and Inorder Traversal
  • Construct Binary Search Tree from Preorder Traversal
  • Design Circular Queue
  • Network Delay Time
  • Most Frequent Subtree Sum
  • Asteroid Collision
  • Binary Tree Inorder Traversal
  • Check If Word Is Valid After Substitutions
  • Construct Binary Tree from Preorder and Postorder Traversal
  • K-Concatenation Maximum Sum
Powered by GitBook
On this page
  • Description
  • Solution

Construct Binary Tree from Preorder and Inorder Traversal

Description

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

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

For example, given

preorder = [3,9,20,15,7]
inorder = [9,3,15,20,7]

Return the following binary tree:

    3
   / \
  9  20
    /  \
   15   7

Solution

preorder traversal of root = [root->val, preorder traversal of root->left, preorder traversal of root->right].

inorder traversal of root = [inorder traversal of root->left, root->val, inorder traversal of root->right].

Since there are no duplicates, we can use a hash table to quickly get the index of root->val in the inorder traversal of root, denoted as rootIdx. Then the preorder traversal of root-left is preorder[1:rootIdx], including preorder[rootIdx].

Then we just need to solve two smaller problems.

class Solution {
public:
    TreeNode *buildTree(vector<int> &preorder, vector<int> &inorder) {
        unordered_map<int, int> hash;
        for (int i = 0; i < inorder.size(); ++i) {
            int val = inorder[i];
            hash[val] = i;
        }
        return buildTree(
            preorder, 0, preorder.size(),
            inorder, 0, inorder.size(),
            hash);
    }

    TreeNode *buildTree(
        vector<int> &preorder, int l1, int r1,
        vector<int> &inorder, int l2, int r2, unordered_map<int, int> &hash) {
        if (l1 >= r1)
            return nullptr;
        int rootVal = preorder[l1];
        int rootIdx = hash[rootVal];
        TreeNode *root = new TreeNode(rootVal);
        int leftLen = rootIdx - l2;
        root->left = buildTree(
            preorder, l1 + 1, l1 + 1 + leftLen,
            inorder, l2, rootIdx,
            hash);
        root->right = buildTree(
            preorder, l1 + 1 + leftLen, r1,
            inorder, rootIdx + 1, r2,
            hash);
        return root;
    }
};
PreviousDecode WaysNextConstruct Binary Search Tree from Preorder Traversal

Last updated 5 years ago