CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

One Example of in place but not stable sort is

2 / 50

The Knapsack problem belongs to the domain of _______________ problems.

3 / 50

In the analysis of Selection algorithm, we make a number of passes, in fact it could be as many as,

4 / 50

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

5 / 50

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

6 / 50

The array to be sorted is not passed as argument to the merge sort algorithm.

7 / 50

The sieve technique works in ___________ as follows

8 / 50

For Chain Matrix Multiplication we can not use divide and conquer approach because,

9 / 50

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

10 / 50

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

11 / 50

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

12 / 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.

13 / 50

Brute-force algorithm for 2D-Maxima is operated by comparing ________ pairs of points.

14 / 50

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

15 / 50

The number of nodes in a complete binary tree of height h is

16 / 50

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

17 / 50

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

18 / 50

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

from a larger set of _____________

19 / 50

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

20 / 50

Analysis of Selection algorithm ends up with,

21 / 50

In Quick sort, we don’t have the control over the sizes of recursive calls

22 / 50

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

23 / 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.

24 / 50

Which may be stable sort:

25 / 50

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

26 / 50

Which may be a stable sort?

27 / 50

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

28 / 50

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

29 / 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,

30 / 50

What is the total time to heapify?

31 / 50

Sorting can be in _________

32 / 50

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

33 / 50

In Heap Sort algorithm, the maximum levels an element can move upward is _________

34 / 50

The function f(n)=n(logn+1)/2 is asymptotically equivalent to nlog n. Here Lower Bound means function f(n) grows asymptotically at ____________ as fast as nlog n.

35 / 50

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

36 / 50

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

37 / 50

In analysis, the Lower Bound means the function grows asymptotically at least as fast as its largest term.

38 / 50

Divide-and-conquer as breaking the problem into a small number of

39 / 50

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

40 / 50

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

41 / 50

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

42 / 50

Is it possible to sort without making comparisons?

43 / 50

Quick sort is

44 / 50

In simple brute-force algorithm, we give no thought to efficiency.

45 / 50

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

46 / 50

Random access machine or RAM is a/an

47 / 50

In which order we can sort?

48 / 50

In pseudo code, the level of details depends on intended audience of the algorithm.w

49 / 50

Due to left complete nature of binary tree, the heap can be stored in

50 / 50

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

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