CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

Random access machine or RAM is a/an

2 / 50

In which order we can sort?

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In Heap Sort algorithm, if heap property is violated _________

4 / 50

What type of instructions Random Access Machine (RAM) can execute? Choose best answer

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Floor and ceiling are ____________ to calculate while analyzing algorithms.

6 / 50

An algorithm is a mathematical entity that is dependent on a specific programming language.

7 / 50

In Heap Sort algorithm, the total running time for Heapify procedure is ____________

8 / 50

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

9 / 50

Brute-force algorithm uses no intelligence in pruning out decisions.

10 / 50

One Example of in place but not stable sort is

11 / 50

Asymptotic growth rate of the function is taken over_________ case running time.

12 / 50

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

13 / 50

What is the solution to the recurrence T(n) = T(n/2)+n .

14 / 50

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

15 / 50

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

16 / 50

In Quick Sort Constants hidden in T(n log n) are

17 / 50

Sieve Technique applies to problems where we are interested in finding a single item from a larger set of _____________

18 / 50

The Knapsack problem belongs to the domain of _______________ problems.

19 / 50

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

20 / 50

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

21 / 50

Is it possible to sort without making comparisons?

22 / 50

Sorting is one of the few problems where provable ________ bonds exits on how fast we can sort,

23 / 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,

24 / 50

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

25 / 50

One of the clever aspects of heaps is that they can be stored in arrays without using any _______________.

26 / 50

Cont sort is suitable to sort the elements in range 1 to k

27 / 50

Counting sort has time complexity:

28 / 50

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

29 / 50

A heap is a left-complete binary tree that conforms to the ___________

30 / 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.

31 / 50

In Sieve Technique we do not know which item is of interest

32 / 50

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

33 / 50

Sieve Technique applies to problems where we are interested in finding a single item

from a larger set of _____________

34 / 50

Efficient algorithm requires less computational…….

35 / 50

In Sieve Technique we do not know which item is of interest

36 / 50

In plane sweep approach, a vertical line is swept across the 2d-plane and _______structure is used for holding the maximal points lying to the left of the sweep line.

37 / 50

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

38 / 50

While Sorting, the ordered domain means for any two input elements x and y _________ satisfies only.

39 / 50

______________ graphical representation of algorithm.

40 / 50

Quick sort is

41 / 50

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

42 / 50

The sieve technique works where we have to find _________ item(s) from a large input.

43 / 50

The time assumed for each basic operation to execute on RAM model of computation is-----

44 / 50

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

45 / 50

Which may be stable sort:

46 / 50

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

47 / 50

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

48 / 50

For the Sieve Technique we take time

49 / 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.

50 / 50

In ____________ we have to find rank of an element from given input.

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