## Construct BST from given preorder traversal | Set 1

Given preorder traversal of a binary search tree, construct the BST.

For example, if the given traversal is {10, 5, 1, 7, 40, 50}, then the output should be root of following tree.

10 / \ 5 40 / \ \ 1 7 50

**Method 1 ( O(n^2) time complexity )**

The first element of preorder traversal is always root. We first construct the root. Then we find the index of first element which is greater than root. Let the index be ‘i’. The values between root and ‘i’ will be part of left subtree, and the values between ‘i+1′ and ‘n-1′ will be part of right subtree. Divide given pre[] at index “i” and recur for left and right sub-trees.

For example in {10, 5, 1, 7, 40, 50}, 10 is the first element, so we make it root. Now we look for the first element greater than 10, we find 40. So we know the structure of BST is as following.

10 / \ / \ {5, 1, 7} {40, 50}

We recursively follow above steps for subarrays {5, 1, 7} and {40, 50}, and get the complete tree.

/* A O(n^2) program for construction of BST from preorder traversal */ #include <stdio.h> #include <stdlib.h> /* A binary tree node has data, pointer to left child and a pointer to right child */ struct node { int data; struct node *left; struct node *right; }; // A utility function to create a node struct node* newNode (int data) { struct node* temp = (struct node *) malloc( sizeof(struct node) ); temp->data = data; temp->left = temp->right = NULL; return temp; } // A recursive function to construct Full from pre[]. preIndex is used // to keep track of index in pre[]. struct node* constructTreeUtil (int pre[], int* preIndex, int low, int high, int size) { // Base case if (*preIndex >= size || low > high) return NULL; // The first node in preorder traversal is root. So take the node at // preIndex from pre[] and make it root, and increment preIndex struct node* root = newNode ( pre[*preIndex] ); *preIndex = *preIndex + 1; // If the current subarry has only one element, no need to recur if (low == high) return root; // Search for the first element greater than root int i; for ( i = low; i <= high; ++i ) if ( pre[ i ] > root->data ) break; // Use the index of element found in postorder to divide postorder array in // two parts. Left subtree and right subtree root->left = constructTreeUtil ( pre, preIndex, *preIndex, i - 1, size ); root->right = constructTreeUtil ( pre, preIndex, i, high, size ); return root; } // The main function to construct BST from given preorder traversal. // This function mainly uses constructTreeUtil() struct node *constructTree (int pre[], int size) { int preIndex = 0; return constructTreeUtil (pre, &preIndex, 0, size - 1, size); } // A utility function to print inorder traversal of a Binary Tree void printInorder (struct node* node) { if (node == NULL) return; printInorder(node->left); printf("%d ", node->data); printInorder(node->right); } // Driver program to test above functions int main () { int pre[] = {10, 5, 1, 7, 40, 50}; int size = sizeof( pre ) / sizeof( pre[0] ); struct node *root = constructTree(pre, size); printf("Inorder traversal of the constructed tree: \n"); printInorder(root); return 0; }

Output:

1 5 7 10 40 50

Time Complexity: O(n^2)

**Method 2 ( O(n) time complexity )**

The idea used here is inspired from method 3 of this post. The trick is to set a range {min .. max} for every node. Initialize the range as {INT_MIN .. INT_MAX}. The first node will definitely be in range, so create root node. To construct the left subtree, set the range as {INT_MIN …root->data}. If a values is in the range {INT_MIN .. root->data}, the values is part part of left subtree. To construct the right subtree, set the range as {root->data..max .. INT_MAX}.

/* A O(n) program for construction of BST from preorder traversal */ #include <stdio.h> #include <stdlib.h> #include <limits.h> /* A binary tree node has data, pointer to left child and a pointer to right child */ struct node { int data; struct node *left; struct node *right; }; // A utility function to create a node struct node* newNode (int data) { struct node* temp = (struct node *) malloc( sizeof(struct node) ); temp->data = data; temp->left = temp->right = NULL; return temp; } // A recursive function to construct BST from pre[]. preIndex is used // to keep track of index in pre[]. struct node* constructTreeUtil( int pre[], int* preIndex, int key, int min, int max, int size ) { // Base case if( *preIndex >= size ) return NULL; struct node* root = NULL; // If current element of pre[] is in range, then // only it is part of current subtree if( key > min && key < max ) { // Allocate memory for root of this subtree and increment *preIndex root = newNode ( key ); *preIndex = *preIndex + 1; if (*preIndex < size) { // Contruct the subtree under root // All nodes which are in range {min .. key} will go in left // subtree, and first such node will be root of left subtree. root->left = constructTreeUtil( pre, preIndex, pre[*preIndex], min, key, size ); // All nodes which are in range {key..max} will go in right // subtree, and first such node will be root of right subtree. root->right = constructTreeUtil( pre, preIndex, pre[*preIndex], key, max, size ); } } return root; } // The main function to construct BST from given preorder traversal. // This function mainly uses constructTreeUtil() struct node *constructTree (int pre[], int size) { int preIndex = 0; return constructTreeUtil ( pre, &preIndex, pre[0], INT_MIN, INT_MAX, size ); } // A utility function to print inorder traversal of a Binary Tree void printInorder (struct node* node) { if (node == NULL) return; printInorder(node->left); printf("%d ", node->data); printInorder(node->right); } // Driver program to test above functions int main () { int pre[] = {10, 5, 1, 7, 40, 50}; int size = sizeof( pre ) / sizeof( pre[0] ); struct node *root = constructTree(pre, size); printf("Inorder traversal of the constructed tree: \n"); printInorder(root); return 0; }

Output:

1 5 7 10 40 50

Time Complexity: O(n)

We will soon publish a O(n) iterative solution as a separate post.

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### Related Topics:

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- Print Nodes in Top View of Binary Tree
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- Convert a Binary Tree to Threaded binary tree
- Serialize and Deserialize an N-ary Tree
- Serialize and Deserialize a Binary Tree
- Print nodes between two given level numbers of a binary tree
- Find Height of Binary Tree represented by Parent array

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