CS2251 DESIGN AND ANALYSIS OF ALGORITHMS APRIL/MAY 2011 ANNA UNIVERSITY QUESTION PAPER QUESTION BANK IMPORTANT QUESTIONS 2 MARKS AND 16 MARKS
matrices are added.
2. An array has exactly n nodes. They are filled from the set {0, 1, 2,...,n-1, n}.
There are no duplicates in the list. Design an O(n) worst case time algorithm to
find which one of the elements from the above set is missing in the array.
3. Show the intermediate steps when the numbers 123, 23, 1, 43, 54, 36, 75, 34
are sorted using merge sort.
4. Devise an algorithm to make a change for 1655 using the Greedy strategy. The
coins available are {1000, 500, 100, 50, 20, 10, 5}.
5. Write the difference between Greedy Method and Dynamic Programming.
6. Write an algorithm to find the shortest path between all pairs of nodes.
7. Define the chromatic number of a graph.
8. Draw a graph with a cycle but with no Hamiltonian cycle.
9. Define a strongly connected digraph and give the minimum in degree of all the
nodes in the graph.
10. Perform depth first and breadth first search on the following graph and find all
the nodes reachable from ‘a’.
Examine how much time each function requires as ‘n’ becomes large.
Or
(b) (i) Explain asymptotic notations in detail. (8)
(ii) Write an algorithm for linear search and analyze the algorithm for
its time complexity. (8)
12. (a) Write an algorithm to perform binary search on a sorted list of elements.
Analyze the algorithm for the best case, average case and worst case.
Or
(b) Using the divide and conquer approach to find the maximum and
minimum in a set of ‘n’ elements. Also find the recurrence relation for the
number of elements compared and solve the same.
13. (a) Use function OBST to compute w(i, j), r(i, j), and c(i, j), 0<=i<j<=4, for the
identifier set ( ) 4 3 2 1 , , , a a a a = (cout, float, if, while) with p(1) = 1/20, p(2) =
1/5, p(3) = 1/10, p(4) = 1/20, q(0) = 1/5, q(1) = 1/10, q(2) = 1/5, q(3) = 1/20,
and q(4) 1/20. Using the r(i, j)’s, construct the optimal binary search tree.
Or
(b) Using dynamic approach programming, solve the following graph using
the backward approach.
14. (a) Using backtracking, find the optimal solution to a knapsack problem for
the knapsack instance n = 8, m = 110, (p1, p2. ... p7) = (11, 21, 31, 33, 43,
53, 55, 65) and (w1, w2,...,w7) = (1, 11, 21, 33, 43, 53, 55, 65).
Or
(b) Write an algorithm for N QUEENS Problem and Trace it for n=6.
15. (a) Write the Kruskal’s algorithm apply it to find a minimum spanning tree
for the following graph :
Or
(b) Write short notes on NP-hard and NP-completeness.
B.E./B.Tech. DEGREE EXAMINATION, APRIL/MAY 2011
Fourth Semester
Computer Science and Engineering
CS 2251 — DESIGN AND ANALYSIS OF ALGORITHMS
(Regulation 2008)
Time : Three hours Maximum : 100 marks
Answer ALL questions
PART A — (10 × 2 = 20 marks)
1. Using the step count method analyze the time complexity when 2 m × nmatrices are added.
2. An array has exactly n nodes. They are filled from the set {0, 1, 2,...,n-1, n}.
There are no duplicates in the list. Design an O(n) worst case time algorithm to
find which one of the elements from the above set is missing in the array.
3. Show the intermediate steps when the numbers 123, 23, 1, 43, 54, 36, 75, 34
are sorted using merge sort.
4. Devise an algorithm to make a change for 1655 using the Greedy strategy. The
coins available are {1000, 500, 100, 50, 20, 10, 5}.
5. Write the difference between Greedy Method and Dynamic Programming.
6. Write an algorithm to find the shortest path between all pairs of nodes.
7. Define the chromatic number of a graph.
8. Draw a graph with a cycle but with no Hamiltonian cycle.
9. Define a strongly connected digraph and give the minimum in degree of all the
nodes in the graph.
10. Perform depth first and breadth first search on the following graph and find all
the nodes reachable from ‘a’.
PART B — (5 × 16 = 80 marks)
11. (a) Write the recursive and non-recursive versions of the factorial function.Examine how much time each function requires as ‘n’ becomes large.
Or
(b) (i) Explain asymptotic notations in detail. (8)
(ii) Write an algorithm for linear search and analyze the algorithm for
its time complexity. (8)
12. (a) Write an algorithm to perform binary search on a sorted list of elements.
Analyze the algorithm for the best case, average case and worst case.
Or
(b) Using the divide and conquer approach to find the maximum and
minimum in a set of ‘n’ elements. Also find the recurrence relation for the
number of elements compared and solve the same.
13. (a) Use function OBST to compute w(i, j), r(i, j), and c(i, j), 0<=i<j<=4, for the
identifier set ( ) 4 3 2 1 , , , a a a a = (cout, float, if, while) with p(1) = 1/20, p(2) =
1/5, p(3) = 1/10, p(4) = 1/20, q(0) = 1/5, q(1) = 1/10, q(2) = 1/5, q(3) = 1/20,
and q(4) 1/20. Using the r(i, j)’s, construct the optimal binary search tree.
Or
(b) Using dynamic approach programming, solve the following graph using
the backward approach.
14. (a) Using backtracking, find the optimal solution to a knapsack problem for
the knapsack instance n = 8, m = 110, (p1, p2. ... p7) = (11, 21, 31, 33, 43,
53, 55, 65) and (w1, w2,...,w7) = (1, 11, 21, 33, 43, 53, 55, 65).
Or
(b) Write an algorithm for N QUEENS Problem and Trace it for n=6.
15. (a) Write the Kruskal’s algorithm apply it to find a minimum spanning tree
for the following graph :
Or
(b) Write short notes on NP-hard and NP-completeness.
