Implement a priority list using a heapordered binary tree, but instead of an array, use a triply linked structure. Each node will require three links: two to travel down the tree and one to traverse up the tree. Even if no maximum priority-queue size is known ahead of time, your implementation should ensure logarithmic running time per operation.

Implement a priority list using a heapordered binary tree, but instead of an array, use a triply linked structure. Each node will require three links: two to travel down the tree and one to traverse up the tree. Even if no maximum priority-queue size is known ahead of time, your implementation should ensure logarithmic running time per operation.

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter18: Stacks And Queues

Section: Chapter Questions

Problem 16PE: The implementation of a queue in an array, as given in this chapter, uses the variable count to...

See similar textbooks

Similar questions

Implement a priority queue using a heapordered binary tree, but instead of an array, use a triply linked structure. Each node will require three links: two to traverse down the tree and one to traverse up the tree. Even if no maximum priority-queue size is known ahead of time, your implementation should guarantee logarithmic running time per operation.
Implement a priority queue using a heapordered binary tree, however instead of using an array, use a triply linked structure. Three connections are needed for each node: two for climbing the tree and one for descending it. Your solution should offer logarithmic running durations for each operation, even if there isn't a set maximum priority-queue size.
Suppose there are two singly linked lists both of which intersect at some point and become a single linked list. The head or start pointers of both the lists are known, but the intersecting node is unknown. Also, the number of nodes in each of the list before they intersect are unknown and both the list may have it different. List1 may have n nodes before it reaches intersection point and List2 might have m nodes before it reaches intersection point where m and n may be m = n, m > n or m < n. Give an algorithm for finding the merging point. Hints: A brute force approach would be to compare every pointer in one list with every pointer in another list. But in this case the complexity would be O(mn)
Write a Queue implementation that uses a circular linked list, which is the sameas a linked list except that no links are null and the value of last.next is first whenever the list is not empty. Keep only one Node instance variable
You can implement a queue data structure (DS) using a list/array or a Linked List DS. Nonetheless, the performance (in O(..) factor) can be drastically different depending on your data manipulation pattern. Which of the following Queue implementation is more efficient in terms of O(x) factor? Which data structure (MyQ1, or MyQ2) is better for the following situations (Use big O factor with explanations)? class MyQ1: (using the doubly linked list implementation) class MyQ2: (using the list append (ele) and pop (0) implementation) (a) Most of the data are adding and removing activities in the front of the queue Ans: (b) Most of the data are adding and removing activities at the rear of the queue Ans:
Write a program for the implementation of a queue using singly linked list. The elements of the queue should be strings of length at most 20 characters. Print the queue and do the following operations on the created queue : (a) Insert a new element. (b) Delete an element from the queue.
Write a Queue implementation that uses a circular linked list, which is the sameas a linked list except that no links are null and the value of last.next is first whenever the list is not empty. Keep only one Node instance variable (last)
Question Given a singly linked list, you need to do two tasks. Swap the first node with the last node. Then count the number of nodes and if the number of nodes is an odd number then delete the first node, otherwise delete the last node of the linked list. For example, if the given linked list is 1->2->3->4->5 then the linked list should be modified to 2->3->4->1. Because 1 and 5 will be swapped and 5 will be deleted as the number of nodes in this linked list is 5 which is an odd number, that means the first node which contains 5 has been deleted. If the input linked list is NULL, then it should remain NULL. If the input linked list has 1 node, then this node should be deleted and a new head should be returned. Sample 1: Input: NULL output: NULL. Sample 2: Input: 1 output: NULL Sample 3: Input: 1->2 output: 2 Sample 4: Input: 1->2->3 output: 2->1 Sample 5: Input: 1->2->3->4 _output: 4->2->3 Sample 6: Input: 1->2->3->4->5->6 output: 6->2->3->4->5. Input: The function takes one argument…
The specifications for the Unsorted List ADT state that the item to be deleted is in the list. Rewrite the specification for DeleteItem so that the list is unchanged if the item to be deleted is not in the list. Rewrite the specification for DeleteItem so that all copies of the item to be deleted are removed if they exist. Do the same using a linked implementation.
Implement a queue with three stacks so that, in the worst-case scenario, each queue operation requires a fixed number of stack operations. High level of difficulty alert.
Given a circular linked list, implement an algorithm that returns the node at the beginning of the loop.DEFINITIONCircular linked list: A (corrupt) linked list in which a node's next pointer points to an earlier node, soas to make a loop in the linked list.EXAMPLEInput:Output:A -> B -> C -> D -> E -> C [the same C as earlier]C
an application has a huge number of find the maximum operations, but a relatively small number of insert and remove the maximum operations. Which priority- queue implementation do you think would be most effective: heap, unordered array, or ordered array? Explain your Answer.