Q. Pancake Sorting appears in which of the following?

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Q. In addition to the pancake sorting problem, there is the case of the burnt pancake problem in which we are dealing with pancakes (discs) that are burnt on one side only. In this case it is taken that the burnt side must always end up _______

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Q. In a computational complexity theory, a problem with decision making is said to be NP-complete when it is both in NP and NP-hard. What does NP mean?

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Q. When we realize a specific implementation of a pancake algorithm, every move when we find the greatest of the sized array and flipping can be modeled through __________

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Q. The Pancake Problems (1975, 1979, 1973) did NOT involve which of the following people?

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Q. Topological sort can be applied to which of the following graphs?

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Q. Most Efficient Time Complexity of Topological Sorting is? (V – number of vertices, E – number of edges)

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Q. Topological sort starts from a node which has?

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Q. What can be the applications of topological sorting?

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Q. Topological sort of a Directed Acyclic graph is?

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Q. Topological sort can be implemented by?

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Q. Topological sort is equivalent to which of the traversals in trees?

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Q. A man wants to go different places in the world. He has listed them down all. But there are some places where he wants to visit before some other places. What application of graph can he use to determine that?

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Q. When the topological sort of a graph is unique?

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Q. What is recurrence for worst case of QuickSort and what is the time complexity in Worst case?

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Q. Which of the following is not a stable sorting algorithm?

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Q. If the number of records to be sorted is small, then sorting can be efficient.

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Q. Suppose we have a O(n) time algorithm that finds median of an unsorted array. Now consider a QuickSort implementation where we first find median using the above algorithm, then use median as pivot. What will be the worst case time complexity of this modified QuickSort.

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Q. Which of the following is not an in-place sorting algorithm?

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Q. The complexity of sorting algorithm measures the as a function of the number n of items to be sorter.

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