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For preorder traversal, in the worst case, the stack will rise to size n/2, where n refer to number of nodes in the tree. Another method of traversing binary tree non-recursively that does not employ stack requires pointers to the parent node (called threaded binary tree).
A threaded binary tree is a binary tree wherein every node which does not have a right child has a THREAD (a third link) to its INORDER successor. By doing this threading we ignore the recursive method of traversing a tree and employ of stack, that makes use of many memory and time.
A node structure of threaded binary is following :
For a threaded binary tree the node structure varies a bit and its like this -
struct NODE *leftchild;
int node_value;
struct NODE *rightchild;
struct NODE *thread; /* third pointer to its inorder successor */
}
Consistent Heuristic Function - Graph Search Recall the notions of consistency and admissibility for an A* search heuristic. a. Consider a graph with four nodes S, A, B, C,
Draw trace table and determine output from the following flowchart using following data: Number = 45, -2, 20.5
Merging 4 sorted files having 50, 10, 25 and 15 records will take time
creation,insertion,deletion of header linked list using c.
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A binary tree of depth "d" is an almost complete binary tree if A) Every leaf in the tree is either at level "d" or at level "d-1" B) For any node "n" in the tree with a
give any example of page replacement using fifo and use your own reference string
This question deals with AVL trees. You must use mutable pairs/lists to implement this data structure: (a) Define a procedure called make-avl-tree which makes an AVL tree with o
Algorithm for deletion of any element from the circular queue: Step-1: If queue is empty then say "queue is empty" & quit; else continue Step-2: Delete the "front" element
Merging 4 sorted files having 50, 10, 25 and 15 records will take time O (100)
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