Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
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.
A graph G might be defined as a finite set V of vertices & a set E of edges (pair of connected vertices). The notation utilized is as follows: Graph G = (V, E) Consider the g
AVL tree An AVL tree is a binary search tree in which the height of the left and right subtree of the root vary by at most 1 and in which the left and right subtrees are again
Define tractable and intractable problems Problems that can be solved in polynomial time are known as tractable problems, problems that cannot be solved in polynomial time are
Construct G for α, n, and W given as command line parameters. Throw away edges that have an asymmetric relation between nodes. That is, if A is connected to B, but B is not connect
Ask question Write an algorithm for the evaluation of a postfix expression using a stack#Minimum 100 words accepted#
Normal 0 false false false EN-IN X-NONE X-NONE MicrosoftInternetExplorer4
Algorithm for determining strongly connected components of a Graph: Strongly Connected Components (G) where d[u] = discovery time of the vertex u throughout DFS , f[u] = f
The simplest implementation of the Dijkstra's algorithm stores vertices of set Q into an ordinary linked list or array, and operation Extract-Min(Q) is just a linear search through
Depth-first traversal A depth-first traversal of a tree visit a node and then recursively visits the subtrees of that node. Likewise, depth-first traversal of a graph visits
Define Dynamic Programming Dynamic programming is a method for solving problems with overlapping problems. Typically, these sub problems arise from a recurrence rel
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd