Horje
Check if given inorder and preorder traversals are valid for any Binary Tree without building the tree

cGiven two arrays pre[] and in[] representing the preorder and inorder traversal of the binary tree, the task is to check if the given traversals are valid for any binary tree or not without building the tree. If it is possible, then print Yes. Otherwise, print No.

Examples:

Input: pre[] = {1, 2, 4, 5, 7, 3, 6, 8}, in[] = {4, 2, 5, 7, 1, 6, 8, 3}
Output: Yes
Explanation:
Both traversals are valid for the following binary tree:
                    1
                 /    \
              2        3
          /   \       / 
       4      5    6 
                \      \
                 7      8     

Input: pre[] = {1, 2, 69, 5, 7, 3, 6, 8}, in[] = {4, 2, 5, 7, 1, 6, 8, 3}
Output: No

Approach: The idea is to use similar technique to build the binary tree from inorder and preorder traversals, except that not to build the tree, rather to check if the current inorder traversal of that tree(subtree) and the current preorder Index is valid or not in each recursive call or not.

Below is the implementation of the above approach:

C++

// C++ program for the above approach
 
#include <bits/stdc++.h>
using namespace std;
 
// C++ program to check if given inorder
// and preorder traversals of size N are
// valid for a binary tree or not
bool checkInorderPreorderUtil(
    int inStart, int inEnd,
    int& preIndex, int preorder[],
    unordered_map<int, int>& inorderIndexMap)
{
    if (inStart > inEnd)
        return true;
 
    // Build the current Node
    int rootData = preorder[preIndex];
    preIndex++;
 
    // If the element at current Index
    // is not present in the inorder
    // then tree can't be built
    if (inorderIndexMap.find(rootData)
        == inorderIndexMap.end())
        return false;
 
    int inorderIndex = inorderIndexMap[rootData];
 
    // If the inorderIndex does not fall
    // within the range of the inorder
    // traversal of the current tree
    // then return false
    if (!(inStart <= inorderIndex
          && inorderIndex <= inEnd))
        return false;
 
    int leftInorderStart = inStart;
    int leftInorderEnd = inorderIndex - 1;
    int rightInorderStart = inorderIndex + 1;
    int rightInorderEnd = inEnd;
 
    // Check if the left subtree can be
    // built from the inorder traversal
    // of the left subtree and preorder
    if (!checkInorderPreorderUtil(
            leftInorderStart, leftInorderEnd,
            preIndex, preorder, inorderIndexMap))
        return false;
 
    // Check if the left subtree can be
    // built from the inorder traversal
    // of the left subtree and preorder
    else
        return checkInorderPreorderUtil(
            rightInorderStart, rightInorderEnd,
            preIndex, preorder, inorderIndexMap);
}
 
// Function to check for the validation of
// inorder and preorder
string checkInorderPreorder(
    int pre[], int in[], int n)
{
    unordered_map<int, int> inorderIndexMap;
 
    for (int i = 0; i < n; i++)
        inorderIndexMap[in[i]] = i;
 
    int preIndex = 0;
    if (checkInorderPreorderUtil(
            0, n - 1, preIndex,
            pre, inorderIndexMap)) {
        return "Yes";
    }
    else {
        return "No";
    }
}
 
// Driver Code
int main()
{
    int pre[] = { 1, 2, 4, 5, 7, 3, 6, 8 };
    int in[] = { 4, 2, 5, 7, 1, 6, 8, 3 };
    int N = sizeof(pre) / sizeof(pre[0]);
    cout << checkInorderPreorder(pre, in, N);
 
    return 0;
}

Java

// Java program to check if given inorder
// and preorder traversals of size N are
// valid for a binary tree or not
import java.util.*;
 
class GFG
{
    static int preIndex;
    static HashMap<Integer,Integer> inorderIndexMap = new HashMap<Integer,Integer>();
   
 
static boolean checkInorderPreorderUtil(
    int inStart, int inEnd,
     int preorder[])
{
    if (inStart > inEnd)
        return true;
 
    // Build the current Node
    int rootData = preorder[preIndex];
    preIndex++;
 
    // If the element at current Index
    // is not present in the inorder
    // then tree can't be built
    if (!inorderIndexMap.containsKey(rootData))
        return false;
 
    int inorderIndex = inorderIndexMap.get(rootData);
 
    // If the inorderIndex does not fall
    // within the range of the inorder
    // traversal of the current tree
    // then return false
    if (!(inStart <= inorderIndex
          && inorderIndex <= inEnd))
        return false;
 
    int leftInorderStart = inStart;
    int leftInorderEnd = inorderIndex - 1;
    int rightInorderStart = inorderIndex + 1;
    int rightInorderEnd = inEnd;
 
    // Check if the left subtree can be
    // built from the inorder traversal
    // of the left subtree and preorder
    if (!checkInorderPreorderUtil(
            leftInorderStart, leftInorderEnd,preorder))
        return false;
 
    // Check if the left subtree can be
    // built from the inorder traversal
    // of the left subtree and preorder
    else
        return checkInorderPreorderUtil(
            rightInorderStart, rightInorderEnd,
             preorder);
}
 
// Function to check for the validation of
// inorder and preorder
static String checkInorderPreorder(
    int pre[], int in[], int n)
{
   
    //HashMap<Integer,Integer> inorderIndexMap = new HashMap<Integer,Integer>();
    for (int i = 0; i < n; i++)
        inorderIndexMap.put(in[i], i);
 
    preIndex = 0;
    if (checkInorderPreorderUtil(
            0, n - 1,
            pre)) {
        return "Yes";
    }
    else {
        return "No";
    }
}
 
// Driver Code
public static void main(String[] args)
{
    int pre[] = { 1, 2, 4, 5, 7, 3, 6, 8 };
    int in[] = { 4, 2, 5, 7, 1, 6, 8, 3 };
    int N = pre.length;
    System.out.print(checkInorderPreorder(pre, in, N));
}
}
 
// This code is contributed by shikhasingrajput

Python3

# Python program to check if given inorder
# and preorder traversals of size N are
# valid for a binary tree or not
def checkInorderPreorderUtil(inStart, inEnd, preIndex, preorder, inorderIndexMap):
    if (inStart > inEnd):
        return True
 
    # Build the current Node
    rootData = preorder[preIndex]
    preIndex += 1
 
    # If the element at current Index
    # is not present in the inorder
    # then tree can't be built
    if (rootData in inorderIndexMap):
        return False
 
    inorderIndex = inorderIndexMap[rootData]
 
    # If the inorderIndex does not fall
    # within the range of the inorder
    # traversal of the current tree
    # then return false
    if ((inStart <= inorderIndex and inorderIndex <= inEnd)==False):
        return False
 
    leftInorderStart = inStart
    leftInorderEnd = inorderIndex - 1
    rightInorderStart = inorderIndex + 1
    rightInorderEnd = inEnd
 
    # Check if the left subtree can be
    # built from the inorder traversal
    # of the left subtree and preorder
    if(checkInorderPreorderUtil(leftInorderStart,leftInorderEnd,preIndex,preorder,inorderIndexMap)==False):
        return False
 
    # Check if the left subtree can be
    # built from the inorder traversal
    # of the left subtree and preorder
    else:
        return checkInorderPreorderUtil(rightInorderStart, rightInorderEnd,preIndex, preorder, inorderIndexMap)
 
# Function to check for the validation of
# inorder and preorder
def checkInorderPreorder(pre, inv,n):
    inorderIndexMap = {}
 
    for i in range(n):
        inorderIndexMap[inv[i]] = i
 
    preIndex = 0
    if (checkInorderPreorderUtil(0, n - 1, preIndex,pre, inorderIndexMap)):
        return "No"
    else:
        return "Yes"
 
# Driver Code
if __name__ == '__main__':
    pre = [1, 2, 4, 5, 7, 3, 6, 8]
    inv = [4, 2, 5, 7, 1, 6, 8, 3]
    N = len(pre)
    print(checkInorderPreorder(pre, inv, N))
     
    # This code is contributed by ipg2016107.

C#

// C# program to check if given inorder
// and preorder traversals of size N are
// valid for a binary tree or not
using System;
using System.Collections.Generic;
 
public class GFG
{
    static int preIndex;
    static Dictionary<int,int> inorderIndexMap = new Dictionary<int,int>();
   
static bool checkInorderPreorderUtil(
    int inStart, int inEnd,
     int []preorder)
{
    if (inStart > inEnd)
        return true;
 
    // Build the current Node
    int rootData = preorder[preIndex];
    preIndex++;
 
    // If the element at current Index
    // is not present in the inorder
    // then tree can't be built
    if (!inorderIndexMap.ContainsKey(rootData))
        return false;
 
    int inorderIndex = inorderIndexMap[rootData];
 
    // If the inorderIndex does not fall
    // within the range of the inorder
    // traversal of the current tree
    // then return false
    if (!(inStart <= inorderIndex
          && inorderIndex <= inEnd))
        return false;
 
    int leftInorderStart = inStart;
    int leftInorderEnd = inorderIndex - 1;
    int rightInorderStart = inorderIndex + 1;
    int rightInorderEnd = inEnd;
 
    // Check if the left subtree can be
    // built from the inorder traversal
    // of the left subtree and preorder
    if (!checkInorderPreorderUtil(
            leftInorderStart, leftInorderEnd,preorder))
        return false;
 
    // Check if the left subtree can be
    // built from the inorder traversal
    // of the left subtree and preorder
    else
        return checkInorderPreorderUtil(
            rightInorderStart, rightInorderEnd,
             preorder);
}
 
// Function to check for the validation of
// inorder and preorder
static String checkInorderPreorder(
    int []pre, int []inn, int n)
{
   
    // Dictionary<int,int> inorderIndexMap = new Dictionary<int,int>();
    for (int i = 0; i < n; i++)
        inorderIndexMap.Add(inn[i], i);
 
    preIndex = 0;
    if (checkInorderPreorderUtil(
            0, n - 1,
            pre)) {
        return "Yes";
    }
    else {
        return "No";
    }
}
 
// Driver Code
public static void Main(String[] args)
{
    int []pre = { 1, 2, 4, 5, 7, 3, 6, 8 };
    int []inn = { 4, 2, 5, 7, 1, 6, 8, 3 };
    int N = pre.Length;
    Console.Write(checkInorderPreorder(pre, inn, N));
}
}
 
// This code is contributed by 29AjayKumar

Javascript

<script>
 
// Javascript program for the above approach
let inorderIndexMap = new Map();
let preIndex;
 
function checkInorderPreorderUtil( inStart, inEnd, preorder)
{
    if (inStart > inEnd)
        return true;
 
    // Build the current Node
    let rootData = preorder[preIndex];
    preIndex++;
 
    // If the element at current Index
    // is not present in the inorder
    // then tree can't be built
    if (!inorderIndexMap.has(rootData))
        return false;
 
    let inorderIndex = inorderIndexMap.get(rootData);
 
    // If the inorderIndex does not fall
    // within the range of the inorder
    // traversal of the current tree
    // then return false
    if (!(inStart <= inorderIndex
          && inorderIndex <= inEnd))
        return false;
 
    let leftInorderStart = inStart;
    let leftInorderEnd = inorderIndex - 1;
    let rightInorderStart = inorderIndex + 1;
    let rightInorderEnd = inEnd;
 
    // Check if the left subtree can be
    // built from the inorder traversal
    // of the left subtree and preorder
    if (!checkInorderPreorderUtil(
            leftInorderStart, leftInorderEnd, preorder))
        return false;
 
    // Check if the left subtree can be
    // built from the inorder traversal
    // of the left subtree and preorder
    else
        return checkInorderPreorderUtil(
            rightInorderStart, rightInorderEnd, preorder);
}
 
// Function to check for the validation of
// inorder and preorder
function checkInorderPreorder(pre, inn, n)
{
 
    for (let i = 0; i < n; i++)
        inorderIndexMap.set(inn[i], i);
 
    preIndex = 0;
    if (checkInorderPreorderUtil(
            0, n - 1,
            pre )) {
        return "Yes";
    }
    else {
        return "No";
    }
}
 
// Driver Code
    let pre = [ 1, 2, 4, 5, 7, 3, 6, 8 ];
    let inn = [ 4, 2, 5, 7, 1, 6, 8, 3 ];
    let N = pre.length;
    document.write(checkInorderPreorder(pre, inn, N));
     
    // This code is contributed by saurabh_jaiswal.
</script>

Output

Yes

Time Complexity: O(N)
Auxiliary Space: O(N)

Approach : solve this problem is to use a single array for the both preorder and inorder traversals. The key observation is that if the given traversals are valid for a binary tree, then the root of the tree must be the first element in the preorder traversal.

Here’s the implementation of this approach:

C++

#include <iostream>
#include <vector>
#include <unordered_map>
#include <stack>
#include <climits>
 
using namespace std;
 
bool GFG(const vector<int>& preorder, const vector<int>& inorder) {
    // Base case: if the lengths of preorder and
  // inorder are different, it's not valid
    if (preorder.size() != inorder.size()) {
        return false;
    }
    // Create a map to store the index of
  // each element in the inorder traversal
    unordered_map<int, int> inorder_map;
    for (int i = 0; i < inorder.size(); ++i) {
        inorder_map[inorder[i]] = i;
    }
    // Initialize the stack to simulate the recursive process
    stack<int> st;
    int root = INT_MIN;
    // Iterate through each element in the preorder traversal
    for (int val : preorder) {
        // If the current value in preorder is not in
      // the inorder traversal, it's not valid
        if (inorder_map.find(val) == inorder_map.end()) {
            return false;
        }
        // If the current value is smaller than the root, push it onto the stack
        if (inorder_map[val] < inorder_map[root]) {
            st.push(val);
        } else {
            // If the current value is greater than the root, pop elements from stack
            // until we find the parent of the current value
            while (!st.empty() && inorder_map[val] > inorder_map[st.top()]) {
                root = st.top();
                st.pop();
            }
            // Set the parent of the current value as the root and
          // push the current value onto the stack
            st.push(val);
        }
    }
    return true;
}
int main() {
    // Example usage:
    vector<int> pre1 = {1, 2, 4, 5, 7, 3, 6, 8};
    vector<int> in1 = {4, 2, 5, 7, 1, 6, 8, 3};
    cout << (GFG(pre1, in1) ? "Yes" : "No") << endl;
    vector<int> pre2 = {1, 2, 69, 5, 7, 3, 6, 8};
    vector<int> in2 = {4, 2, 5, 7, 1, 6, 8, 3};
    cout << (GFG(pre2, in2) ? "Yes" : "No") << endl;
    return 0;
}

Java

import java.util.*;
 
public class Main {
    public static boolean isBST(List<Integer> preorder,
                                List<Integer> inorder)
    {
        // Base case: if the lengths of preorder and inorder
        // are different, it's not valid
        if (preorder.size() != inorder.size()) {
            return false;
        }
 
        // Create a map to store the index of each element
        // in the inorder traversal
        Map<Integer, Integer> inorderMap = new HashMap<>();
        for (int i = 0; i < inorder.size(); ++i) {
            inorderMap.put(inorder.get(i), i);
        }
 
        // Initialize the stack to simulate the recursive
        // process
        Stack<Integer> stack = new Stack<>();
        int root
            = preorder.get(0); // Initialize root to the
                               // first element in preorder
 
        // Iterate through each element in the preorder
        // traversal
        for (int val : preorder) {
            // If the current value in preorder is not in
            // the inorder traversal, it's not valid
            if (!inorderMap.containsKey(val)) {
                return false;
            }
 
            // Update root if the current value is smaller
            // than the current root
            if (inorderMap.get(val)
                < inorderMap.get(root)) {
                stack.push(val);
            }
            else {
                // If the current value is greater than the
                // root, pop elements from stack until we
                // find the parent of the current value
                while (
                    !stack.isEmpty()
                    && inorderMap.get(val)
                           > inorderMap.get(stack.peek())) {
                    root = stack.pop();
                }
 
                // Set the parent of the current value as
                // the root and push the current value onto
                // the stack
                stack.push(val);
            }
        }
 
        return true;
    }
 
    public static void main(String[] args)
    {
        // Example usage:
        List<Integer> pre1
            = Arrays.asList(1, 2, 4, 5, 7, 3, 6, 8);
        List<Integer> in1
            = Arrays.asList(4, 2, 5, 7, 1, 6, 8, 3);
        System.out.println(isBST(pre1, in1) ? "Yes" : "No");
 
        List<Integer> pre2
            = Arrays.asList(1, 2, 69, 5, 7, 3, 6, 8);
        List<Integer> in2
            = Arrays.asList(4, 2, 5, 7, 1, 6, 8, 3);
        System.out.println(isBST(pre2, in2) ? "Yes" : "No");
    }
}

Python3

class TreeNode:
    def __init__(self, val=0, left=None, right=None):
        self.val = val
        self.left = left
        self.right = right
 
def isBST(preorder, inorder):
    # Base case: if the lengths of preorder and inorder
    # are different, it's not valid
    if len(preorder) != len(inorder):
        return False
 
    # Create a dictionary to store the index of each element
    # in the inorder traversal
    inorder_map = {val: i for i, val in enumerate(inorder)}
 
    # Initialize the stack to simulate the recursive process
    stack = []
    root = preorder[0]  # Initialize root to the first element in preorder
 
    # Iterate through each element in the preorder traversal
    for val in preorder:
        # If the current value in preorder is not in
        # the inorder traversal, it's not valid
        if val not in inorder_map:
            return False
 
        # Update root if the current value is smaller
        # than the current root
        if inorder_map[val] < inorder_map[root]:
            stack.append(val)
        else:
            # If the current value is greater than the
            # root, pop elements from stack until we
            # find the parent of the current value
            while stack and inorder_map[val] > inorder_map[stack[-1]]:
                root = stack.pop()
 
            # Set the parent of the current value as
            # the root and push the current value onto
            # the stack
            stack.append(val)
 
    return True
 
# Example usage:
pre1 = [1, 2, 4, 5, 7, 3, 6, 8]
in1 = [4, 2, 5, 7, 1, 6, 8, 3]
print("Yes" if isBST(pre1, in1) else "No")
 
pre2 = [1, 2, 69, 5, 7, 3, 6, 8]
in2 = [4, 2, 5, 7, 1, 6, 8, 3]
print("Yes" if isBST(pre2, in2) else "No")
 
 
# This code is contributed by Dwaipayan Bandyopadhyay

C#

using System;
using System.Collections.Generic;
 
class Program
{
    static bool GFG(List<int> preorder, List<int> inorder)
    {
        // Base case: if the lengths of preorder and
        // inorder are different, it's not valid
        if (preorder.Count != inorder.Count)
        {
            return false;
        }
 
        // Create a map to store the index of
        // each element in the inorder traversal
        Dictionary<int, int> inorderMap = new Dictionary<int, int>();
        for (int i = 0; i < inorder.Count; ++i)
        {
            inorderMap[inorder[i]] = i;
        }
 
        // Initialize the stack to simulate the recursive process
        Stack<int> stack = new Stack<int>();
        int root = preorder[0]; // Initialize root to the first element in preorder
 
        // Iterate through each element in the preorder traversal
        foreach (int val in preorder)
        {
            // If the current value in preorder is not in
            // the inorder traversal, it's not valid
            if (!inorderMap.ContainsKey(val))
            {
                return false;
            }
 
            // Update root if the current value is smaller than the current root
            if (inorderMap[val] < inorderMap[root])
            {
                stack.Push(val);
            }
            else
            {
                // If the current value is greater than the root, pop elements from stack
                // until we find the parent of the current value
                while (stack.Count > 0 && inorderMap[val] > inorderMap[stack.Peek()])
                {
                    root = stack.Pop();
                }
 
                // Set the parent of the current value as the root and
                // push the current value onto the stack
                stack.Push(val);
            }
        }
 
        return true;
    }
 
    static void Main()
    {
        // Example usage:
        List<int> pre1 = new List<int> { 1, 2, 4, 5, 7, 3, 6, 8 };
        List<int> in1 = new List<int> { 4, 2, 5, 7, 1, 6, 8, 3 };
        Console.WriteLine(GFG(pre1, in1) ? "Yes" : "No");
 
        List<int> pre2 = new List<int> { 1, 2, 69, 5, 7, 3, 6, 8 };
        List<int> in2 = new List<int> { 4, 2, 5, 7, 1, 6, 8, 3 };
        Console.WriteLine(GFG(pre2, in2) ? "Yes" : "No");
    }
}

Javascript

function GFG(preorder, inorder) {
    // Base case: if the lengths of preorder and inorder are different, it's not valid
    if (preorder.length !== inorder.length) {
        return false;
    }
 
    // Create a map to store the index of each element in the inorder traversal
    const inorderMap = new Map();
    inorder.forEach((val, i) => {
        inorderMap.set(val, i);
    });
 
    // Initialize the stack to simulate the recursive process
    const stack = [];
    let root = Number.MIN_SAFE_INTEGER;
 
    // Iterate through each element in the preorder traversal
    for (const val of preorder) {
        // If the current value in preorder is not in the inorder traversal, it's not valid
        if (!inorderMap.has(val)) {
            return false;
        }
 
        // If the current value is smaller than the root, push it onto the stack
        if (inorderMap.get(val) < inorderMap.get(root)) {
            stack.push(val);
        } else {
            // If the current value is greater than the root, pop elements from stack
            // until we find the parent of the current value
            while (stack.length > 0 &&
            inorderMap.get(val) > inorderMap.get(stack[stack.length - 1])) {
                root = stack.pop();
            }
 
            // Set the parent of the current value as the root and
            // push the current value onto the stack
            stack.push(val);
        }
    }
 
    return true;
}
 
// Example usage:
const pre1 = [1, 2, 4, 5, 7, 3, 6, 8];
const in1 = [4, 2, 5, 7, 1, 6, 8, 3];
console.log(GFG(pre1, in1) ? "Yes" : "No");
 
const pre2 = [1, 2, 69, 5, 7, 3, 6, 8];
const in2 = [4, 2, 5, 7, 1, 6, 8, 3];
console.log(GFG(pre2, in2) ? "Yes" : "No");

Output

Yes
No




Reffered: https://www.geeksforgeeks.org

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Type:
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Category:
 Coding
Sub Category:
 Tutorial
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