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[All Quizzes] → [Introduction to Algorithms] → [Sorting and Searching]


1. ► Topological sort requires O(V) space

A.
B.

2. ► Merge sort works on the principle of divide-and-conquer

A.
B.

3. ► Quick sort can be done in-place

A.
B.

4. ► Quick sort works on the principle of divide and conquer

A.
B.

5. ► STL doesn’t have an implementation of quick sort

A.
B.

6. ► A ready list can be obtained through topological sort prior to scheduling

A.
B.

7. ► Binary search only operates on sorted sequence

A.
B.

8. ► Topological ordering in a graph is unique

A.
B.

9. ► Searching is more expensive in sorted sequence

A.
B.

10. ► A simple depth-first walk is enough to give topological ordering

A.
B.

11. ► Topological sort is available in STL

A.
B.

12. ► Merge sort is not a stable sort

A.
B.

13. ► Quick sort guarantees O(nlgn) performance in all the cases

A.
B.

14. ► Heap sort cannot be done in-place

A.
B.

15. ► Binary search on AVL trees can be done at most in O(lgn) steps

A.
B.

16. ► Binary is not a divide and conquer algorithm

A.
B.

17. ► Merge sort can be parallelized

A.
B.

18. ► Heap sort can be parallelized

A.
B.

19. ► Merge sort’s O(nlgn) performance is not guaranteed

A.
B.

20. ► Heap sort doesn’t have an implementation in STL

A.
B.


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