Let us consider the below traversals:
Inorder sequence: D B E A F C
Preorder sequence: A B D E C F
In a Preorder sequence, leftmost element is the root of the tree. So we know ‘A’ is root for given sequences. By searching ‘A’ in Inorder sequence, we can find out all elements on left side of ‘A’ are in left subtree and elements on right are in right subtree.
Solution:
// Java program to construct a tree using inorder and preorder traversal
/* A binary tree node has data, pointer to left child
and a pointer to right child */
class Node
{
char data;
Node left, right;
Node(char item)
{
data = item;
left = right = null;
}
}
class BinaryTree
{
Node root;
static int preIndex = 0;
/* Recursive function to construct binary of size len from
Inorder traversal in[] and Preorder traversal pre[].
Initial values of inStrt and inEnd should be 0 and len -1.
The function doesn't do any error checking for cases where
inorder and preorder do not form a tree */
Node buildTree(char in[], char pre[], int inStrt, int inEnd)
{
if (inStrt > inEnd)
return null;
/* Pick current node from Preorder traversal using preIndex
and increment preIndex */
Node tNode = new Node(pre[preIndex++]);
/* If this node has no children then return */
if (inStrt == inEnd)
return tNode;
/* Else find the index of this node in Inorder traversal */
int inIndex = search(in, inStrt, inEnd, tNode.data);
/* Using index in Inorder traversal, construct left and
right subtress */
tNode.left = buildTree(in, pre, inStrt, inIndex - 1);
tNode.right = buildTree(in, pre, inIndex + 1, inEnd);
return tNode;
}
/* UTILITY FUNCTIONS */
/* Function to find index of value in arr[start...end]
The function assumes that value is present in in[] */
int search(char arr[], int strt, int end, char value)
{
int i;
for (i = strt; i <= end; i++)
{
if (arr[i] == value)
return i;
}
return i;
}
/* This funtcion is here just to test buildTree() */
void printInorder(Node node)
{
if (node == null)
return;
/* first recur on left child */
printInorder(node.left);
/* then print the data of node */
System.out.print(node.data + " ");
/* now recur on right child */
printInorder(node.right);
}
// driver program to test above functions
public static void main(String args[])
{
BinaryTree tree = new BinaryTree();
char in[] = new char[]{'D', 'B', 'E', 'A', 'F', 'C'};
char pre[] = new char[]{'A', 'B', 'D', 'E', 'C', 'F'};
int len = in.length;
Node root = tree.buildTree(in, pre, 0, len - 1);
// building the tree by printing inorder traversal
System.out.println("Inorder traversal of constructed tree is : ");
tree.printInorder(root);
}
}
Preorder sequence: A B D E C F
// Java program to construct a tree using inorder and preorder traversal /* A binary tree node has data, pointer to left child and a pointer to right child */class Node { char data; Node left, right; Node(char item) { data = item; left = right = null; }} class BinaryTree { Node root; static int preIndex = 0; /* Recursive function to construct binary of size len from Inorder traversal in[] and Preorder traversal pre[]. Initial values of inStrt and inEnd should be 0 and len -1. The function doesn't do any error checking for cases where inorder and preorder do not form a tree */ Node buildTree(char in[], char pre[], int inStrt, int inEnd) { if (inStrt > inEnd) return null; /* Pick current node from Preorder traversal using preIndex and increment preIndex */ Node tNode = new Node(pre[preIndex++]); /* If this node has no children then return */ if (inStrt == inEnd) return tNode; /* Else find the index of this node in Inorder traversal */ int inIndex = search(in, inStrt, inEnd, tNode.data); /* Using index in Inorder traversal, construct left and right subtress */ tNode.left = buildTree(in, pre, inStrt, inIndex - 1); tNode.right = buildTree(in, pre, inIndex + 1, inEnd); return tNode; } /* UTILITY FUNCTIONS */ /* Function to find index of value in arr[start...end] The function assumes that value is present in in[] */ int search(char arr[], int strt, int end, char value) { int i; for (i = strt; i <= end; i++) { if (arr[i] == value) return i; } return i; } /* This funtcion is here just to test buildTree() */ void printInorder(Node node) { if (node == null) return; /* first recur on left child */ printInorder(node.left); /* then print the data of node */ System.out.print(node.data + " "); /* now recur on right child */ printInorder(node.right); } // driver program to test above functions public static void main(String args[]) { BinaryTree tree = new BinaryTree(); char in[] = new char[]{'D', 'B', 'E', 'A', 'F', 'C'}; char pre[] = new char[]{'A', 'B', 'D', 'E', 'C', 'F'}; int len = in.length; Node root = tree.buildTree(in, pre, 0, len - 1); // building the tree by printing inorder traversal System.out.println("Inorder traversal of constructed tree is : "); tree.printInorder(root); }}
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