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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);
}
Here, m represents the unordered array of elements n represents number of elements in the array and el represents the value to be searched in the list Sep 1: [Initialize]
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Algorithm to find sum of square of a number
write an algorithm for the gpa of six students
AVL trees are applied into the given situations: There are few insertion & deletion operations Short search time is required Input data is sorted or nearly sorted
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