CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

Quick sort is best from the perspective of Locality of reference.

2 / 50

In selection algorithm, because we eliminate a constant fraction of the array with each phase, we get the

3 / 50

The sieve technique is a special case, where the number of sub problems is just

4 / 50

If the indices passed to merge sort algorithm are ________,then this means that there is only one element to sort.

5 / 50

For the heap sort we store the tree nodes in

6 / 50

Efficient algorithm requires less computational…….

7 / 50

A point p in 2-dimensional space is usually given by its integer coordinate(s)____________

8 / 50

The running time of quick sort depends heavily on the selection of

9 / 50

An in place sorting algorithm is one that uses ___ arrays for storage

10 / 50

The sieve technique works in ___________ as follows

11 / 50

The reason for introducing Sieve Technique algorithm is that it illustrates a very important special case of,

12 / 50

Quick sort is based on divide and conquer paradigm; we divide the problem on base of pivot element and:

13 / 50

A (an) _________ is a left-complete binary tree that conforms to the heap order

14 / 50

Counting sort has time complexity:

15 / 50

Random access machine or RAM is a/an

16 / 50

In Heap Sort algorithm, we build _______ for ascending sort.

17 / 50

In analysis, the Upper Bound means the function grows asymptotically no faster than its largest term.

18 / 50

F (n) and g (n) are asymptotically equivalent. This means that they have essentially the same __________ for large n.

19 / 50

Which may be stable sort:

20 / 50

In the analysis of Selection algorithm, we eliminate a constant fraction of the array with each phase; we get the convergent _______________ series in the analysis,

21 / 50

Before sweeping a vertical line in plane sweep approach, in start sorting of the points is done in increasing order of their _______coordinates.

22 / 50

For the heap sort, access to nodes involves simple _______________ operations.

23 / 50

_________ is one of the few problems, where provable lower bounds exist on how fast we can sort.

24 / 50

How many elements do we eliminate in each time for the Analysis of Selection algorithm?

25 / 50

The function f(n)= n(logn+1)/2 is asymptotically equivalent to n log n. Here Upper Bound means the function f(n) grows asymptotically ____________ faster than n log n.

26 / 50

Algorithm is a mathematical entity, which is independent of a specific machine and operating system.

27 / 50

What is the total time to heapify?

28 / 50

What is the total time to heapify?

29 / 50

For the worst-case running time analysis, the nested loop structure containing one “for” and one “while” loop, might be expressed as a pair of _________nested summations.

30 / 50

When we call heapify then at each level the comparison performed takes time

31 / 50

The analysis of Selection algorithm shows the total running time is indeed ________in n,

32 / 50

For the Sieve Technique we take time

33 / 50

The ancient Roman politicians understood an important principle of good algorithm design that is plan-sweep algorithm.

34 / 50

The O-notation is used to state only the asymptotic ________bounds.

35 / 50

44.The running time of an algorithm would not depend upon the optimization by the compiler but that of an implementation of the algorithm would depend on it.

36 / 50

One example of in place but not stable algorithm is

37 / 50

Heaps can be stored in arrays without using any pointers; this is due to the ____________ nature of the binary tree,

38 / 50

In analysis of f (n) =n (n/5) +n-10 log n, f (n) is asymptotically equivalent to ________.

39 / 50

A RAM is an idealized algorithm with takes an infinitely large random-access memory.

40 / 50

After sorting in merge sort algorithm, merging process is invoked.

41 / 50

Algorithm is concerned with.......issues.

42 / 50

Quick sort is

43 / 50

In Heap Sort algorithm, we build _______ for ascending sort.

44 / 50

Is it possible to sort without making comparisons?

45 / 50

For small values of n, any algorithm is fast enough. Running time does become an issue when n gets large.

46 / 50

_______________ is a graphical representation of an algorithm

47 / 50

How much time merge sort takes for an array of numbers?

48 / 50

Consider the following code:

For(j=1; j

For(k=1; k<15;k++)

For(l=5; l

{

Do_something_constant();

}

What is the order of execution for this code.

49 / 50

Which may be a stable sort?

50 / 50

In 2d-space a point is said to be ________if it is not dominated by any other point in that space.

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