In the name of ALLAH, the most beneficient, the most merciful

Fundamentals of Algorithms (CS502)

Multiple Choice Questions (MCQs)

Objective Questions

  1. 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
  2. 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
  3. Adding an edge to a free tree creates.

    1. A cycle
    2. A complete MST
    3. A partial MST
    4. A shortest path
  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. ?(v^2)
  5. 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
  6. In Dynamic Programming approach, we do not store the solution to each sub-problem in case if it reappears.

    1. True
    2. False
  7. 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
  8. The Huffman algorithm finds an exponential solution

    1. True
    2. False
  9. Radix sort is not a non-comparative integer sorting algorithm.

    1. True
    2. False
  10. 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
  11. A free tree with n vertices have exactly n+1 edges.

    1. True
    2. False
  12. Diagraphs are not used in communication and transportation networks.

    1. True
    2. False
  13. We can use the optimal substructure property to devise a ________ formulation of the edit distance problem.

    1. Selective
    2. Optimum
    3. Iterative
    4. Recursive
  14. 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
  15. Shortest path problems can be solved efficiently by modeling the road map as a graph.

    1. True
    2. False
  16. 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
  17. The Huffman algorithm finds a(n) ________ solution.

    1. Optimal
    2. Non-optimal
    3. Exponential
    4. Polynomial
  18. In Prim's algorithm, we start with the root vertex r; it can be any vertex.

    1. True
    2. False
  19. Dijkstra’s algorithm is operated by maintaining a subset of vertices.

    1. True
    2. False
  20. 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
  21. The greedy part of the Huffman encoding algorithm is to first find two nodes with larger frequency.

    1. True
    2. False
  22. We say that two vertices u and v are mutually not reachable if u can reach v and vice versa.

    1. True
    2. False
  23. 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
  24. Strongly connected components are not affected by reversal of all edges in terms of vertices reachability.

    1. True
    2. False
  25. 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)
  26. 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
  27. Maximum number of vertices in a Directed Graph may be |V2|

    1. True
    2. False
  28. In strong components algorithm, first of all DFS is run for computing finish times of vertices.

    1. True
    2. False
  29. 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
  30. The term “coloring” came form the original application which was in architectural design.

    1. True
    2. False
  31. 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
  32. 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
  33. Consider the following adjacency list:
    CS502_0001
    Which of the following graph(s) describe(s) the above adjacency list?

    1. CS502_0002
    2. CS502_0003
    3. CS502_0004
    4. CS502_0005
  34. 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
  35. If a problem is in NP, it must also be in P.

    1. True
    2. False
    3. Unknown
  36. 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
  37. 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)
  38. 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
  39. By breaking any edge on cycle created in free tree, the free ________ is restored.

    1. Edge
    2. Tree
    3. Cycle
    4. Vertex
  40. 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
  41. 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
  42. Bellman-Ford allows negative weights edges and negative cost cycles.

    1. True
    2. False
  43. 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
  44. 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
  45. Chain matrix multiplication problem can be solved through ________ strategy.

    1. Dynamic programming
    2. Greedy
    3. Divide and conquer
    4. Sorting
  46. 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
  47. The Huffman algorithm finds a polynomial solution.

    1. True
    2. False
  48. 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
  49. The difference between Prim’s algorithm and Dijkstra’s algorithm is that Dijkstra’s algorithm uses a different key.

    1. True
    2. False
  50. A graph may contain ________.

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