b. Explain, in depth, the use of the binary heap as an effective implementation for a priority queue NB: should be well explained/in depth. Thanks
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b. Explain, in depth, the use of the binary heap as an effective implementation for a priority queue
NB: should be well explained/in depth. Thanks
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- A priority queue is implemented as a linked list, sorted from largest to smallest element. a. How would the definition of PQType change? b. Write the Enqueue operation, using this implementation. c. Write the Dequeue operation, using this implementation. d. Compare the Enqueue and Dequeue operations to those for the heap implementation, in terms of Big-O notation.Short answer Answer the following in your own words: Your friend says they implemented a stack as a linked list with reference pointers to both a head and the tail node (i.e. they implemented a stack as a double ended linked list). They said this significantly improved the performance for all functions (push, pop, search, and update). Are they correct? Why or why not? Another friend implemented a queue as a linked list with only a head pointer (no tail node). She said this made performance of all functions (insert, remove, search, and update) categorically equal to a queue as a linked list with a head and a tail node. Is she correct? Why or why not?Question 3 a. "Queues and stacks are used in many real-life situations". In your own words, clearly distinguish between queues and stacks; and give one example of real-life situations in which each of them is used. b. In an array-based implementation of a stack, which end of the contents of the array represent the bottom of the stack and why? c. If the size of circular queue K is 4 with indices number from 0 to 3 what would be the state of the queue after the following set of 8 operations below. Show in a diagram the state of queue K after each of the 8 operations. K. enqueue (“F"), K. enqueue (“R"), K. dequeue(), K. enqueue (“P"), dequeue(), K.front(), K. enqueue (“Z"), K. enqueue (“G") d. Why are insertions and deletions at the logical end of the array more efficient than insertions and deletions in the interior of the array?
- Problem 1: Consider an array-based queue implementation. Suppose we wish to use an extra bitin queue records to indicate whether a queue is empty.1. Modify the declarations and operations for a circular queue to accommodate this feature.2. Would you expect the change to be worthwhile?Problem 2: Consider an array-based queue implementation. A variant of the circular queuerecords the position of the front element and the length of the queue.1. Is it necessary in this implementation to limit the length of a queue to maxlength - 1?2. Write the five queue operations for this implementation.3. Compare this implementation with the circular queue implementation discussed in class.Problem 3: A dequeue (double-ended queue) is a list from which elements can be inserted ordeleted at either end.1. Develop an array-based implementation for dequeue.2. Develop a pointer-based implementation for dequeue.a. Describe, in depth, the concept of a Binary heap and the heap order property. b. Explain, in depth, the use of the binary heap as an effective implementation for a priority queue NB: should be well explained/in depth. ThanksAnswer the following in your own words: Your friend says they implemented a stack as a linked list with reference pointers to both a head and the tail node (i.e. they implemented a stack as a double ended linked list). They said this significantly improved the performance for all functions (push, pop, search, and update). Are they correct? Why or why not? Another friend implemented a queue as a linked list with only a head pointer (no tail node). She said this made performance of all functions (insert, remove, search, and update) categorically equal to a queue as a linked list with a head and a tail node. Is she correct? Why or why not?
- Can we use heaps as priority queues? How so? Write an explanation, with the help of pseudocode/diagrams to support your explanation. Given a max heap, is there a way to use the max heap as a min heap, without writing a whole min heap implementation? Is the opposite also true? Justify your answer with pseudocode, and/or python OR java code, and explain your answer.Provide two applications in real-world problems of priority queues. How would you explain heaps in general? I mean explain heaps to someone who dont have knowledge about CS.It is conceivable that one linear structure is more general than another. (a) Is it possible to implement a Queue using a Stack? What is the complexity of each of the Queue operations? (b) Is it possible to implement a Stack using a Queue? What are the complexities of the various Stack methods?
- In this post, we'll dive into the distinctions between constrained and unbounded stack implementations.One linear structure could be more applicable than another. (A) Can a Stack be used to implement a Queue? How complicated are the Queue operations individually? (b) Can a Stack be implemented using a Queue? What level of complexity do the different Stack techniques have?It is possible for one linear structure to be more general than another. (a) Can a Queue be implemented using a Stack? What is the level of complexity of each Queue operation? (b) Can a Stack be implemented using a Queue? What are the various Stack techniques' complexities?