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Quiz No. 2
CS502 Fundamentals of Algorithms Spring 2014
Due Date 29 May 2014
Lecture 9 to 17
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+ Click Here to Search (Looking For something at vustudents.ning.com?)Question # 1
In max heap (for Heap Sort algorithm), when every time maximum element is removed from top we replace it with ___________ leaf in the tree.
Second last
Last
First
Any
Question # 2
The worst case running time of Quick sort algorithm ____________
Cannot be quadratic
Is quadratic
Is always Exponential
Is linear
Question # 3
In Heap Sort algorithm, every time the maximum element is removed ____________
We call Build-Heap procedure
Heap Sort algorithm terminates without result
We call heapify procedure
Nothing happens
Question # 4
In Heap Sort algorithm, the first step is to _________
Select correct option:
Call Build-Heap procedure
Sort the array in descending order
Call Heapify procedure
Find the number of input elements
Question # 5
Quick sort is a recursive algorithm.
Select correct option:
True
False
Question # 6
Radix sort performs sorting the numbers ______ digit(s) at a time.
One
Two
Three
All
Question # 7
Selection sort is not an in-place sorting algorithm.
True
False
Question # 8
In Dynamic Programming approach, solution is modified/changed _________.
Always once
At each stage
Only for specific problems
At 4th stage only
Question # 9
We can make _________ recursive calls in Fibonacci Sequence.
Infinite
Finite
Question # 10
Merge sort is a/an _______ and ________ sorting algorithm.
Not in-place, not stable one
In-place, not stable one
In-place, stable one
Not in-place, stable one
Question # 1 of 10 Total M - 1
Memorization is?
1. To store previous results for future use
2. To avoid this unnecessary repetitions by writing down the results of
recursive calls and looking them up again if we need them later
3. To make the process accurate
4. None of the above
Question # 2 of 10 Total M - 1
Which sorting algorithm is faster
1. O (n log n) quick sort lec 14
2. O n^2
3. O (n+k)
4. O n^3
Question # 3 of 10 Total M - 1
Quick sort is
1. Stable & in place
2. Not stable but in place lec 15
3. Stable but not in place
4. Some time stable & some times in place
Question # 4 of 10 Total M - 1
One example of in place but not stable algorithm is
1. Merger Sort
2. Quick Sort lec 15
3. Continuation Sort
4. Bubble Sort
Question # 5 of 10 Total M - 1
In Quick Sort Constants hidden in T(n log n) are
1. Large
2. Medium
3. Small
4. Not Known
Question # 6 of 10 Total M - 1
Continuation sort is suitable to sort the elements in range 1 to k
1. K is Large
2. K is not known
3. K may be small or large
4. K is small lec 15
Question # 7 of 10 Total M - 1
In stable sorting algorithm.
1. If duplicate elements remain in the same relative position after sorting lec 15
2. One array is used
3. More than one arrays are required
4. Duplicating elements not handled
Question # 8 of 10 Total M - 1
Which may be a stable sort?
1. Merger lec 15
2. Insertion
3. Both above
4. None of the above
Question # 9 of 10 Total M - 1
An in place sorting algorithm is one that uses ___ arrays for storage
1. Two dimensional arrays
2. More than one array
3. No Additional Array lec 15
4. None of the above
Question # 10 of 10 Total M - 1
Continuing sort has time complexity of ?
1. O(n)
2. O(n+k)
3. O(nlogn)
4. O(k)
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