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SEN 890 Data Structures Midterm (30 Pts) Name: _____________________________________ ID: ______________ Answer all of the following questions using words. A sentence or two is sufficient. You do not need to write an essay for each question. Some answers might only be a few words. Each question is worth 1 point each. 1. Compare and contrast data types, abstract data types, and data structures. 2. List the collections in the Java Collections API. 3. Define the concept of abstraction and explain why it is important in software development. 4. What is the difference between the growth function of an algorithm and the order of that algorithm (Chapter 2)? 5. Why does speeding up the CPU not necessarily speed up the process by the same amount? 6. How do we use the growth function and an algorithm to determine its order (Chapter 2)? 7. How do we determine the complexity of a loop? (Chapter 2) 8. How do we determine the time complexity of a method call? (Chapter 2) 9. Write an algorithm for the add method that will add at the end of a Linked List instead of the beginning. What is the time complexity of this algorithm? (Pseudo-code or real source code) No complete program needed. 10. What is the difference between a queue and a stack? 11. What are the five basic operations on a queue? 12. Is it possible for the front and rear references in a linked implementation to be equal? Why or why not? 13. What is the difference between an indexed list, an ordered list, and an unordered list? 14. What are the basic methods of accessing an indexed list? 1 SEN 890 Data Structures Midterm (30 Pts) 15. What is the difference between a singly and a double linked list? Why would one be used instead of the other? 16. What is an Iterator and why is it useful for Abstract Data Types (ADT)? 17. Why is an Iterator not appropriate for stacks and queues but is appropriate for lists? 18. What is recursion? How does it differ from looping or other forms of iteration? 19. When should recursion be avoided? 20. What is indirect recursion? What is infinite recursion? 21. When would a linear search be preferable to a logarithmic search? 22. What searching method requires that the list be sorted? 23. When would a sequential sort be preferable to a recursive sort? 24. What technique so these sort algorithms use? Briefly describe how the algorithm performs the sort: (insertion sort, bubble sort, selection sort, quick sort and merge sort) 25. How many queues would it take to use a radix sort to sort the names stored as all lowercase? 26. What is a tree? What is a node? 27. What attributes should be stored in a TreeNode class? 28. Which method of traversing a tree would result in a sorted list for a binary search tree? 29. What is the difference between a binary tree and a binary search tree? 30. Why are we able to specify addElement and removeElement operations for a binary search tree but we are unable to do so for a binary tree? 2