1) Explain the “Divide & Conquer” approach to algorithm design. What impact does it have on time complexity?
2) Why would we sometimes wish to write a non-recursive version of a recursive algorithm? What is the name given to this approach?
3) What is a “treap,” and how does it contribute to the efficient execution of an algorithm in which it is implemented?
4) Starting with node “F,” in what order would the nodes be visited in the following graph using Depth-First Search? Remember to choose the alphabetically “first” node in the event of a tie.
5) What would the order be if BFS was used instead?
6) Name and briefly describe an NP-complete problem other than the “Traveling Salesman.”
7) Draw a Gantt chart for the following data using Shortest-Job-First scheduling:
Job Time
j1 10
j2 2
j3 3
j4 7
What is the Average Wait Time for the processes?
8) Construct a Huffman Code Tree for the following table of characters and use it to determine (fill in) the code for each:
Character |
Code |
Frequency |
a
b
c
d |
|
4
|
9) What is the impact of a negative weight on a standard shortest-path algorithm?
10) Under what circumstances will an Adjacency Matrix be better than an Adjacency List?
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