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By changing the NULL lines in a binary tree to the special links called threads, it is possible to execute traversal, insertion and deletion without using either a stack or recursion.
In a right in threaded binary tree each NULL link is replaced by a particular link to the successor of that node under the inorder traversal called right threaded. Using right threads we shall find it easy to perform an inorder traversal of the tree, since we need to only follow either an ordinary link or a threaded to find the next node to visit.
If we replace each NULL left link by a particular link to the predecessor of the node known as left threaded under inorder traversal the tree is called as left in threaded binary tree. If both the left and right threads are present in tree then it is called as fully threaded binary tree for example:
what is Paging.
The below formula is used to calculate n: n = (x * x)/ (1 - x). Value x = 0 is used to stop the algorithm. Calculation is repeated using values of x until value x = 0 is input. The
an electrical student designed a circuit in which the impedence in one part of a series circuit is 2+j8 ohms and the impedent is another part of the circuit is 4-j60 ohm mm program
what are the charaterstics to determine weather an algorithm is good or not? explain in detail
3633(mod 11)
In a circular linked list There is no beginning and no end.
Linear search is not the most efficient way to search an item within a collection of items. Though, it is extremely simple to implement. Furthermore, if the array elements are arra
In the array implementation of the lists, we will use the array to hold the entries and a separate counter to keep track of the number of positions are occupied. A structure will b
Implementation of queue using a singly linked list: While implementing a queue as a single liked list, a queue q consists of a list and two pointers, q.front and q.rear.
Time Complexity, Big O notation The amount of time needed by an algorithm to run to its completion is referred as time complexity. The asymptotic running time of an algorithm i
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