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There are three typical ways of recursively traversing a binary tree. In each of these, the left sub-trees & right sub-trees are visited recursively and the distinguishing feature is when the element in the root is visited or processed.
Program, Program3 and Program 4 illustrated the inorder, preorder and postorder traversals of a Binary tree.
Program : Inorder traversal of a binary tree
struct NODE *left;
int value; /* can take any data type */
struct NODE *right;
};
inorder(struct NODE *curr)
{
if(curr->left != NULL)
inorder(curr->left);
printf("%d", curr->value);
if(curr->right != NULL)
inorder(curr->right);
}
null(nil) = true // nil refer for empty tree null(fork(e, T, T'))= false // e : element , T and T are two sub tree leaf(fork(e, nil, nil)) = true leaf(
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(a) Suppose that t is a binary tree of integers (that is, an object of type BinTree of Int.) in the state shown in Figure 3. Give the vectors returned by each of the f
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A striking application of DFS is determine a strongly connected component of a graph. Definition: For graph G = (V, E) , where V refer to the set of vertices and E refer to the
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The pre-order and post order traversal of a Binary Tree generates the same output. The tree can have maximum One node
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