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If a node in a binary tree is not containing left or right child or it is a leaf node then that absence of child node can be represented by the null pointers. The space engaged by these null entries can be utilized to store any kind of valuable information. One possible way to utilize or use this space is to have special pointer that point to nodes higher in the tree that is ancestors. Such special pointers are called threads and the binary tree having such pointers is called as threaded binary tree. There are various ways to thread a binary tree each of these ways either correspond either in-order or pre-order traversal of T. A Threaded Binary Tree is a type of binary tree in which every node that does not have a right child has a THREAD (or a link) to its INORDER successor. By doing this threading we avoid the recursive method of traversing a Tree, which makes use of stacks and wastes a lot of time and memory.
The node structure for a threaded binary tree differs a bit and its like this
struct NODE
{
struct NODE *leftchild;
int node_value;
struct NODE *rightchild;
struct NODE *thread;
}
The Threaded Binary tree made from normal binary tree...
The INORDER traversal for the above drawn tree is -- D B A E C. Then the respective
Threaded Binary tree will be --
B does not have right child and its inorder successor is A and so a thread has been made in between them. Likewise, for D and E. C have no right child but it has no inorder successor even, therefore it has a hanging thread.
Give an algorithm to find both the maximum and minimum of 380 distinct numbers that uses at most 568 comparisons.
Abstract data type The thing which makes an abstract data type abstract is that its carrier set and its operations are mathematical entities, like geometric objects or numbers;
Q. Execute your algorithm to convert the infix expression to the post fix expression with the given infix expression as input Q = [(A + B)/(C + D) ↑ (E / F)]+ (G + H)/ I
sir how can i explain deletion process in a data structure
application of threaded binary treee
explain collision resloving techniques in hasing
Q. How do we represent a max-heap sequentially? Explain by taking a valid example. Ans: A max heap is also called as a descending heap, of size n is an almos
Initially Nodes are inserted in an AVL tree in the same manner as an ordinary binary search tree. Though, the insertion algorithm for any AVL tree travels back along with the pa
* Initialise d & pi* for each vertex v within V( g ) g.d[v] := infinity g.pi[v] := nil g.d[s] := 0; * Set S to empty * S := { 0 } Q := V(g) * While (V-S)
what is far and near procedures in system programming?
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