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.
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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.
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- 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 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)
- 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:The bounded-buffer solution in the below code uses a last-in-first-out strategy (LIFO).Change the code to implement a FIFO (First-in-First-out) strategy. You may use the (in,out) pointer method(using semaphores to test if the queue is full or empty shouldalleviate the problem of only using up N-1 locations) or implement a FIFO queue. Usethe correct counting semaphore implementation. C code below ******************************************************************************************************************************* #include <stdio.h>#include <stdlib.h>#include <pthread.h>#include <semaphore.h>#define SIZE 5#define NUMB_THREADS 6#define PRODUCER_LOOPS 2typedef int buffer_t;buffer_t buffer[SIZE];int buffer_index;pthread_mutex_t buffer_mutex;/* initially buffer will be empty. full_semwill be initialized to buffer SIZE, which meansSIZE number of producer threads can write to it.And empty_sem will be initialized to 0, so noconsumer can read from buffer until a…Given a singly linked list, print reverse of it using a recursive function printLinkedList( node *first ) where first is the pointer pointing to the first data node. For example, if the given linked list is 1->2->3->4, then output should be: 4 3 2 1 (note the whitespace in between each data value)
- 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.Implement a Double Array Queue and test it for a very large case (100,000 randomly decided operations of enqueue or dequeue) Your program should compute the number of costly operations and cheap operations Your program should also ask the user about the ratio between enqueue and dequeue operations: The probability of enqueues and dequeues should never be of less than half the other (34% enqueues - 66% dequeues or 66% enqueues - 34% dequeues)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
- The implementation of a queue in an array, as given in this chapter, uses the variable count to determine whether the queue is empty or full. You can also use the variable count to return the number of elements in the queue. On the other hand, class linkedQueueType does not use such a variable to keep track of the number of elements in the queue. Redefine the class linkedQueueType by adding the variable count to keep track of the number of elements in the queue. Modify the definitions of the functions addQueue and deleteQueue as necessary. Add the function queueCount to return the number of elements in the queue. Also, write a program to test various operations of the class you defined.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)Using Java Design and implement a RandomQueue. This is an implementation of the Queue interface in which the remove() operation removes an element that is chosen uniformly at random among all the elements currently in the queue. (Think of a RandomQueue as a bag in which we can add elements or reach in and blindly remove some random element.) The add(x) and remove() operations in a RandomQueue should run in constant time per operation.