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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);
}
write an algorithm for multiplication of two sparse matrices using Linked Lists
a. Determine the result of inserting the keys 4,19, 17, 11, 3, 12, 8, 20, 22, 23, 13, 18, 14, 16, 1, 2, 24, 25, 26, 5 in order to an empty B-Tree of degree 3. Only draw the configu
Insertion: Records has to be inserted at the place dictated by the sequence of keys. As is obvious, direct insertions into the main data file would lead to frequent rebuilding of
Q. The two Binary Trees are said to be similar if they are both empty or if they are both non- empty and left and right sub trees are similar. Write down an algorithm to determine
i cant resolve a problem
Post-order Traversal This can be done both iteratively and recursively. The iterative solution would need a change of the in-order traversal algorithm.
In internal sorting, all of the data to be sorted is obtainable in the high speed main memory of the computer. We will learn the methods of internal sorting which are following:
Given the following search tree, state the order in which the nodes will be searched for breadth first, depth first, hill climbing and best first search, until a solution is reache
Draw trace table and determine output from the subsequent flowchart using below data: X = 5, -3, 0, -3, 7, 0, 6, -11, -7, 12
1. Define the following terms in a rule-based expert system? a) Knowledge base b) Inference engine 2. What is a fuzzy rule? Explain the difference between classical and fuzzy
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