CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

In which order we can sort?

2 / 50

One Example of in place but not stable sort is

3 / 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.

4 / 50

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

5 / 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.

6 / 50

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

7 / 50

Floor and ceiling are ____________ to calculate while analyzing algorithms.

8 / 50

If we associate (x, y) integers pair to cars where x is the speed of the car and y is the negation of the price. High y value for a car means a ________ car.

9 / 50

Is it possible to sort without making comparisons?

10 / 50

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

11 / 50

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

12 / 50

If there are Θ (n2) entries in edit distance matrix then the total running time is

13 / 50

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

14 / 50

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

15 / 50

What is the total time to heapify?

16 / 50

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

17 / 50

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

18 / 50

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

19 / 50

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

20 / 50

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

21 / 50

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

22 / 50

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

23 / 50

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

24 / 50

Sieve Technique can be applied to selection problem?

25 / 50

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

26 / 50

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

27 / 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.

28 / 50

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

29 / 50

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

30 / 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.

31 / 50

Sorting can be in _________

32 / 50

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

33 / 50

We cannot make any significant improvement in the running time which is better than that of brute-force algorithm.

34 / 50

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

35 / 50

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

36 / 50

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

37 / 50

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

38 / 50

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

39 / 50

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

40 / 50

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

41 / 50

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

42 / 50

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

43 / 50

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

44 / 50

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

45 / 50

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

46 / 50

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

47 / 50

Which sorting algorithm is faster

48 / 50

The Knapsack problem belongs to the domain of _______________ problems.

49 / 50

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

50 / 50

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

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