DAA: Construct a Tree from Inorder and Preorder Traversals

Construct a Tree from Inorder and Preorder Traversals

We are given inorder and preorder traversals of a tree. We need to generate a tree from these traversals.

Example:

Inorder[]   = { 3, 1, 4, 0, 5, 2 }

Preorder[] = { 0, 1, 3, 4, 2, 5 }

Output - 3 1 4 0 5 2

The tree constructed for the output is:

Let us understand how the tree is formed.

  • In Preorder traversal, the first node is the root node, and in Inorder traversal, the root node is somewhere between the array.
  • Once we find the root node 0, we look that that particular node in the inorder traversals.
  • The node to the left of the root will come in the left subtree, and the right to the root will come in the right subtree.
  • We will similarly repeat this process until the whole tree is generated.

In preordering, we get 1, so we search for it in preorder, and the nodes left to 1 will come in the left subtree, and nodes to the right will come in the right subtree.

Now the left subtree is formed. Then we get 2 in the preorder traversal. We look for it in the inorder traversal. The value to the left will become the left subtree of 2, and the value to the right will become the right subtree. We get only 5. So it becomes the left subtree, and hence the whole tree is generated.

Approach 1

  • Take values starting from the beginning in preorder. Increment the indexes to get another value in the recursive call.
  • For the picked element, create a new node and insert the value.
  • Find the picked element in our inorder array and call recursively for the left subtree and right subtrees.
  • Return root node.

C++ Code:

 #include <bits/stdc++.h>
 using namespace std;
 // Create Node structure
 class node {
 public:
     int data; // The data to node
     node* left; // The left pointer to node
     node* right; // The right pointer to node
 };
 // Function Prototypes
 int search(int arr[], int strt, int end, int value); // To search the value in Inorder Array
 node* newNode(int data); // Allocate memory to new node
 node* newNode(int data) // Create a new node
 {
     node* Node = new node();
     Node->data = data; // Assign value
     Node->left = NULL; // left point to NULL
     Node->right = NULL; // right point to NULL
     return (Node);
 }
 node* buildTree(int in[], int pre[], int inStrt, int inEnd) // The function is called recursively
 {
     static int preIndex = 0; // This index increment and take the value of Preorder array
     if (inStrt > inEnd) // If we go out of bound
         return NULL;
     node* tNode = newNode(pre[preIndex++]); // Allocate memory to new created tree
     if (inStrt == inEnd) // No children in this node
         return tNode;
     int inIndex = search(in, inStrt, inEnd, tNode->data); // Find index in inorder traversa;
     tNode->left = buildTree(in, pre, inStrt, inIndex - 1); // Build left subtree
     tNode->right = buildTree(in, pre, inIndex + 1, inEnd); // Build right subtree
     return tNode;
 }
 // Linear Search to find node in Inorder array
 int search(int arr[], int strt, int end, int value)
 {
     int i;
     for (i = strt; i <= end; i++) {
         if (arr[i] == value)
             return i; // return index of found element
     }
 }
 void printInorder(node* node) // Print the inorder of generated tree
 {
     if (node == NULL) // If we reach leaf node
         return;
       printInorder(node->left); // Find left child
     cout << node->data << " "; // Print root node
      printInorder(node->right); // Find right child
 }
 // Main Function
 int main()
 {
     int in[] = { 3, 1, 4, 0, 5, 2 };
     int pre[] = { 0, 1, 3, 4, 2, 5 };
     node* root = buildTree(in, pre, 0, 5); // Get the root of newly created tree
     cout << "Inorder traversal of the newly constructed tree is \n";
     printInorder(root); // Print the new created tree
 } 

Output

 Inorder traversal of the newly constructed tree is
 3 1 4 0 5 2 

Time complexity:  

O(n*n)

O(n) for building a new tree and searching the index in inorder uses linear search, so it takes O(n).

Approach 2

From the above code, it is observed that the search operation takes O(n) time extra to find the element index in inorder. It can be reduced to O(n) if we already find the inorder array indexes and store them in a data structure.

To do this task, we can use an unordered map whose key will contain the inorder element, and the index will be the index of that particular element.

C++ Code:

 #include <bits/stdc++.h>
 using namespace std;
 // Create tree structure
 struct Node {
     int data; // data to node
     struct Node* left; // left pointer to node
     struct Node* right; // right pointer to node
     Node(int x)
     { // parameterised constructor for passed x value
         data = x;
         left = NULL;
         right = NULL;
     }
 };
 // Function prototype
 Node* buildTree(int inorder[], int preorder[], int n);
 void printInorder(Node* node) // Print the inorder of generated tree
 {
     if (node == NULL) // If we reach leaf node
         return;
     printInorder(node->left); // Find left child
     cout << node->data << " "; // Print root node
     printInorder(node->right); // Find right child
 }
 int main()
 {
     int inorder[] = { 3, 1, 4, 0, 5, 2 };
     int preorder[] = { 0, 1, 3, 4, 2, 5 };
     Node* root = buildTree(inorder, preorder, 6);
     cout << "Inorder traversal of the newly constructed tree is \n";
     printInorder(root);
 }
 int idx = 0; //index to iterate in preorder
 unordered_map<int, int> mp; // map to store indexes
 Node* solve(int in[], int pre[], int lb, int ub)
 {
     if (lb > ub)
         return NULL; // if we reach boundary
     Node* res = new Node(pre[idx++]); // Create new node
     if (lb == ub)
         return res;
     int mid = mp[res->data]; // find the index of preorder value in inorder
     res->left = solve(in, pre, lb, mid - 1); // make left of mid as left subtree
     res->right = solve(in, pre, mid + 1, ub); // make right of mid as right subtree
     return res;
 }
 Node* buildTree(int in[], int pre[], int n)
 {
     idx = 0;
     mp.clear();
     for (int i = 0; i < n; i++) // store indexes
         mp[in[i]] = i;
     Node* root = solve(in, pre, 0, n - 1); // helper function to build the tree
     return root;
 } 

Output

 Inorder traversal of the newly constructed tree is
 3 1 4 0 5 2 

Time complexity:

O(n) 

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