1 / 29

Data Structures and Algorithms for Information Processing

Data Structures and Algorithms for Information Processing. Lecture 5: Stacks & Queues. Stacks. What is a Stack? A stack is a data structure of ordered items such that items can be inserted and removed only at one end. Examples of Stacks: Pez Dispenser Cafeteria Trays. Stacks.

albina
Download Presentation

Data Structures and Algorithms for Information Processing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Data Structures and Algorithms for Information Processing Lecture 5: Stacks & Queues Lecture 5: Stacks and Queues

  2. Stacks • What is a Stack? • A stack is a data structure of ordered items such that items can be inserted and removed only at one end. • Examples of Stacks: • Pez Dispenser • Cafeteria Trays Lecture 5: Stacks and Queues

  3. Stacks • What can we do with a stack? • push - place an item on the stack • peek - Look at the item on top of the stack, but do not remove it • pop - Look at the item on top of the stack and remove it Lecture 5: Stacks and Queues

  4. Stacks • A stack is a LIFO (Last-In/First-Out) data structure • A stack is sometimes also called a pushdown store. • What are some applications of stacks? • Program execution • Parsing • Evaluating postfix expressions Lecture 5: Stacks and Queues

  5. Stacks • Problem: • What happens if we try to pop an item off the stack when the stack is empty? • This is called a stack underflow. The pop method needs some way of telling us that this has happened. In java we use the java.util.EmptyStackException Lecture 5: Stacks and Queues

  6. Implementing a Stack • There are two ways we can implement a stack: • Using an array • Using a linked list Lecture 5: Stacks and Queues

  7. Implementing a Stack • Implementing a stack using an array is fairly easy. • The bottom of the stack is at data[0] • The top of the stack is at data[numItems-1] • push onto the stack at data[numItems] • pop off of the stack at data[numItems-1] Lecture 5: Stacks and Queues

  8. Implementing a Stack • Implementing a stack using a linked list isn’t that bad either… • Store the items in the stack in a linked list • The top of the stack is the head node, the bottom of the stack is the end of the list • push by adding to the front of the list • pop by removing from the front of the list Lecture 5: Stacks and Queues

  9. Reversing a Word • We can use a stack to reverse the letters in a word. • How? Lecture 5: Stacks and Queues

  10. Reversing a Word • Read each letter in the word and push it onto the stack • When you reach the end of the word, pop the letters off the stack and print them out. Lecture 5: Stacks and Queues

  11. The N-Queens Problem • Main slides Lecture 5: Stacks and Queues

  12. Queues • What is a queue? • A data structure of ordered items such that items can be inserted only at one end and removed at the other end. • Example • A line at the supermarket Lecture 5: Stacks and Queues

  13. Queues • What can we do with a queue? • Enqueue - Add an item to the queue • Dequeue - Remove an item from the queue • The book calls these insert and getFront in order to simplify things. Lecture 5: Stacks and Queues

  14. Queues • A queue is called a FIFO (First in-First out) data structure. • What are some applications of queues? • Round-robin scheduling in processors • Input/Output processing • Queueing of packets for delivery in networks Lecture 5: Stacks and Queues

  15. Implementing a Queue • Just like a stack, we can implementing a queue in two ways: • Using an array • Using a linked list Lecture 5: Stacks and Queues

  16. Implementing a Queue • Using an array to implement a queue is significantly harder than using an array to implement a stack. Why? • Unlike a stack, where we add and remove at the same end, in a queue we add to one end and remove from the other. Lecture 5: Stacks and Queues

  17. Implementing a Queue • There are two options for implementing a queue using an array: • Option 1: • Enqueue at data[0] and shift all of the rest of the items in the array down to make room. • Dequeue from data[numItems-1] Lecture 5: Stacks and Queues

  18. Implementing a Queue • Option 2 • Enqueue at data[rear+1] • Dequeue at data[front] • The rear variable always contains the index of the last item in the queue. • The front variable always contains the index of the first item in the queue. • When we reach the end of the array, wrap around to the front again. Lecture 5: Stacks and Queues

  19. Implementing a Queue // option 2 sketch of insert insert(Object item) { if(manyItems == 0) front = rear = 0; else rear = (rear + 1) mod size; data[rear] = item; manyItems++; } Lecture 5: Stacks and Queues

  20. Implementing a Queue // option 2 sketch of getFront Object getFront() { answer = data[front]; front = (front + 1) mod size; manyItems--; return answer } Lecture 5: Stacks and Queues

  21. Implementing a Queue • Which approach is better? • Assume that the queue has a large number of entries. • In best case, for both queues, what is Big Theta? • In the worst case, for both queues, what is Big Theta? • Does it make sense to talk about “cases”? Lecture 5: Stacks and Queues

  22. Implementing a Queue • Implementing a queue using a linked list is still easy: • Front of the queue is stored as the head node of the linked list, rear of the queue is stored as the tail node. • Enqueue by adding to the end of the list • Dequeue by removing from the front of the list. Lecture 5: Stacks and Queues

  23. Palindromes • We can determine whether or not a word is a palindrome using a stack and a queue. • How? Lecture 5: Stacks and Queues

  24. Palindromes • Read each letter in the phrase. Enqueue the letter into the queue, and push the letter onto the stack. • After we have read all of the letters in the phrase: • Until the stack is empty, dequeue a letter from the queue and pop a letter from the stack. • If the letters are not the same, the phrase is not a palindrome Lecture 5: Stacks and Queues

  25. Priority Queues • Sometimes we may want certain things to get to go to the front of the line. • Examples: • Frequent fliers on airlines • Real-time video and audio packets in networks Lecture 5: Stacks and Queues

  26. Priority Queues • In a priority queue, each item stored in the queue has a priority associated with it. • When we call enqueue, we pass the item to be enqueued and the priority associated with that item. Lecture 5: Stacks and Queues

  27. Implementing a PQ • There are several ways in which we might implement a priority queue: • Use an array of ordinary queues, one for each priority. • Queues[0] is the queue for priority 0, queues[1] is the queue for priority 1 • Use a sorted linked list • The list should be sorted according the the priorities of the items contained • Which approach is better? Lecture 5: Stacks and Queues

  28. Thinking Exercise • Where might a computer’s operating system use queues? Lecture 5: Stacks and Queues

  29. Review • A stack is a LIFO data structure • A queue is a FIFO data structure • Both queues and stacks can be implemented using either linked lists or arrays • A priority queue is a queue in which the ordering of the items is determined by the priorities assigned to them. Lecture 5: Stacks and Queues

More Related