CS 2401 Final Exam

Date: Friday, December 10, 2010.
Name: ____________________________________________

1-2. Recursion:

  1. Write a recursive method (code) for computing the sum of all the elements of a linked list.
  2. Trace your method on the example of a list consisting of elements 12, 10, and 20.
  3. Describe advantages and disadvantages of recursion vs. iteration in solving a problem, from the viewpoint of easiness to write, easiness to understand, and running time.

3. Multi-Dimensional Arrays:
  1. Write a method for checking whether all the elements of a matrix are positive. For example, for the matrix
      1  2  3
      4  5  6
      7  8  9
    the answer should be "true", while for the matrix
      1  -2 3
      4  5  6
      7  8  9
    the answer should be "false".
  2. Trace your method on the example of the second matrix.
  3. Using big-oh notation, give the worst-case running time for your algorithm.

4. Stacks:
  1. Rewrite the expression 12 - 10 * (20 - 1) in postfix form.
  2. Show, step by step, how a stack can be used to compute the value of the resulting postfix expression.

5. Queues:
  1. Show, step by step, the state of a queue -- implemented as an 3-element array - when we first add 12, 10, and 20, then dequeue twice and after that add 1 and 0.
  2. Write a method for enqueuing an element in a queue represented as an array.
  3. Using big-oh notation, what is the worst-case running time for your enqueue method?

6-7. Sorting:
  1. Show, step by step, how bubble sort, selection sort, insertion sort, mergesort, quicksort, and heapsort will sort a list consisting of the elements 12, 10, 20, 1, 0.
  2. Write code for one of these sorting algorithms (clearly specify which one).
  3. Draw a table listing the worst-case and average-case complexity for each of the six sorting algorithms.
  4. True or False: It is possible to implement a sorting algorithm that is much faster than heapsort. Justify your answer.

8. Binary Trees:
  1. Suppose you start with an empty AVL binary search tree. Show step by step what will happen if you add elements 12, 10, 20, 1, and 0 to the binary search tree in that order. Balance at each step where it is necessary.
  2. Show how the resulting tree will look like in an array-based implementation of trees (leave blank spaces for any nodes that do not exist in the tree).
  3. In 1-2 sentences, what is the purpose of balancing?
  4. State the condition that every node in a binary search tree must satisfy.
No code is needed.

9. Search:
  1. Show, step by step, how sequential search and binary search will look for an element 9 in the sorted list 0, 1, 10, 11, and 20.
  2. What is the worst-case and average-case number complexity of each search?
  3. What are relative advantages and disadvantages of these two search algorithms?
  4. Write down a method implementing sequential search and another implementing binary search. Assume that the list is implemented as an array.

10. Hash Tables:
  1. Show, step by step, how a hash table with six "buckets" will look if we sequentially add to it elements 12, 10, 20, 0, and 1. Assume that as a hash function, we take remainder modulo 6:
    h(n) = n % 6.
  2. What are advantages and disadvantages of hash tables?
  3. List two properties of a good hash function.