Fundamentals of Algorithms (CS502)

1. Shortest path problems can be solved efficiently by modeling the road map as a graph.

   1. True
   2. False

2. If a problem is in NP, it must also be in P.

   1. True
   2. False
   3. Unknown

3. Radix sort is not a non-comparative integer sorting algorithm.

   1. True
   2. False

4. You have an adjacency list for G, what is the time compexity to compute Graph transpose G^T?

   1. (V+E)
   2. V.E
   3. V
   4. E

5. In strong components algorithm, first of all DFS is run for computing finish times of vertices.

   1. True
   2. False

6. In the clique cover problem, for two vertices to be in the same group, they must be adjacent to each other.

   1. True
   2. False

7. The Huffman algorithm finds an exponential solution

   1. True
   2. False

8. Chain matrix multiplication problem can be solved through ________ strategy.

   1. Dynamic programming
   2. Greedy
   3. Divide and conquer
   4. Sorting

9. The codeword assigned to characters by the Huffman algorithm have the property that no codeword is the postfix of any other.

   1. True
   2. False

10. In Prim's algorithm, we start with the root vertex r; it can be any vertex.

    1. True
    2. False

11. An optimization problem is one in which you want to find,

    1. Not a solution
    2. An algorithm
    3. Good solution
    4. The best solution

12. We say that two vertices u and v are mutually ________ if u can reach v and vice versa.

    1. Crossed
    2. Forward
    3. Reachable
    4. Nor Reachable

13. Strongly connected components are not affected by reversal of all edges in terms of vertices reachability.

    1. True
    2. False

14. Kruskal's algorithm (choose best non-cycle edge) is better than Prim's (choose best free edge) when the gaph has relatively few edges.

    1. True
    2. False

15. Huffman algorithm uses a greedy approach to generate a postfix code T that minimizes the expected length B(T) of the encoded string.

    1. True
    2. False

16. What is generally true of Adjacency List and Adjacency Matrix representations of graphs?

    1. Lists require less space than matrices but take longer to find the weight of an edge (v1,v2)
    2. Lists require less space than matrices and they are faster to find the weight of an edge (v1,v2)
    3. Lists require more space than matrices and they take longer to find the weight of an edge (v1,v2)
    4. Lists require more space than matrices but are faster to find the weight of an edge (v1,v2)

17. Diagraphs are not used in communication and transportation networks.

    1. True
    2. False

18. Consider three matrices X, Y, Z of dimensions 1 × 2, 2 × 3, 3 × 4 respectively. The number of multiplications of X(YZ) is:

    1. 16
    2. 23
    3. 26
    4. 32

19. We can use the optimal substructure property to devise a ________ formulation of the edit distance problem.

    1. Selective
    2. Optimum
    3. Iterative
    4. Recursive

20. In strong components algorithm, first of all DFS is run for getting ________ times of vertices.

    1. Start
    2. Finish
    3. Both start & finish
    4. None of the given

21. In kruskal's algorithm, the next edge is added to viable set A, if its adding does not induce a cycle.

    1. True
    2. False

22. By breaking any edge on cycle created in free tree, the free ________ is restored.

    1. Edge
    2. Tree
    3. Cycle
    4. Vertex

23. The greedy part of the Huffman encoding algorithm is to first find two nodes with larger frequency.

    1. True
    2. False

24. A free tree with n vertices have exactly n+1 edges.

    1. True
    2. False

25. The Huffman algorithm finds a(n) ________ solution.

    1. Optimal
    2. Non-optimal
    3. Exponential
    4. Polynomial

26. The ________ given by DFS allow us to determine whether the graph contains any cycles.

    1. Order
    2. Time stamps
    3. BFS traversing
    4. Topological sort

27. Although it requires more complicated data structures, Prim's algorithm for a minimum spanning tree is better than Kruskal's when the graph has a large number of vertices.

    1. True
    2. False

28. Adding an edge to a free tree creates.

    1. A cycle
    2. A complete MST
    3. A partial MST
    4. A shortest path

29. Networks are ________ in the sense that is possible from any location in the network to reach any other location in the digraph.

    1. Complete
    2. Incomplete
    3. Not graphs
    4. Transportation

30. Dijkstra’s algorithm is operated by maintaining a subset of vertices.

    1. True
    2. False

31. According to parenthesis lemma. vertex u is a descendent of v vertex if and only if,

    1. [d[u], f[u]] ⊆ [d[v], f[v]]
    2. [d[u], f[u]] ⊇ [d[v], f[v]]
    3. Unrelated
    4. Disjoint

32. The difference between Prim’s algorithm and Dijkstra’s algorithm is that Dijkstra’s algorithm uses a different key.

    1. True
    2. False

33. In ________ algorithm, at any time, the subset of edges A forms a single tree.

    1. Kruskal's
    2. Prim's
    3. Both Kruskal's and Prim's
    4. None of the given

34. If there are Θ (n²) entries in edit distance matrix then each entry E (i, j) takes ________ time to compute.

    1. Θ (n)
    2. Θ (n²)
    3. Θ (1)
    4. Θ (n log n)

35. In Dynamic Programming approach, we do not store the solution to each sub-problem in case if it reappears.

    1. True
    2. False

36. We say that two vertices u and v are mutually not reachable if u can reach v and vice versa.

    1. True
    2. False

37. A graph may contain ________.

    1. Exactly one MST
    2. Maximum one MST
    3. NO MST
    4. More than one MST

38. The term “coloring” came form the original application which was in architectural design.

    1. True
    2. False

39. Dynamic Programming is a problem-solving approach in which ________.

    1. Problem is solved in Zero time
    2. Solution is developed only at final stage
    3. Both are correct
    4. Both are incorrect

40. Bellman-Ford allows negative weights edges and negative cost cycles.

    1. True
    2. False

41. In Dynamic Programming, our approach is to ________.

    1. Develop the solution in a top-down fashion
    2. Express the problem non-recursively
    3. Build the solution in a bottom-up fashion
    4. Input several sub-problems simultaneously

42. Counting sort assumes that the numbers to be sorted are in the range ________.

    1. k to n where n is large
    2. 1 to k where k is small
    3. k to n where k is small
    4. k to n where n is small

43. Consider the following adjacency list:
    
    Which of the following graph(s) describe(s) the above adjacency list?

    1. 
    2. 
    3. 
    4. 

44. Dijkestra’s single source shortest path algorithm works if all edges weights are non-negative and there are negative cost cycles.

    1. True
    2. False

45. If a graph has v vertices and e edges then to obtain a spanning tree we have to delete

    1. v edges.
    2. v – e + 5 edges
    3. v + e edges.
    4. None of the given

46. Maximum number of vertices in a Directed Graph may be |V2|

    1. True
    2. False

47. The Huffman algorithm finds a polynomial solution.

    1. True
    2. False

48. Which is true statement.

    1. Breadth first search is shortest path algorithm that works on un-weighted graphs
    2. Depth first search is shortest path algorithm that works on un-weighted graphs.
    3. Both of above are true.
    4. None of the given

49. Heap sort is a/an ________ and ________ sorting algorithm.

    1. Not in-place, not stable one
    2. In-place, stable one
    3. In-place, not stable one
    4. Not in-place, stable one

50. You have an adjacency list for G, what is the time compexity to compute Graph transpose G^T.?

    1. ? (V + E)
    2. ? (V E)
    3. ?(V)
    4. ?(v^2)

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