CS502 Midterm Online Quiz

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CS502-Midterm

1 / 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.

2 / 50

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

3 / 50

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

4 / 50

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

5 / 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.

6 / 50

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

7 / 50

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

8 / 50

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

9 / 50

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

10 / 50

Which may be a stable sort?

11 / 50

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

12 / 50

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

13 / 50

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

14 / 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.

15 / 50

What is the total time to heapify?

16 / 50

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

17 / 50

_______________ is a graphical representation of an algorithm

18 / 50

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

19 / 50

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

20 / 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.

21 / 50

For the sieve technique we solve the problem,

22 / 50

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

23 / 50

Counting sort has time complexity:

24 / 50

In Heap Sort algorithm, if heap property is violated _________

25 / 50

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

26 / 50

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

27 / 50

In which order we can sort?

28 / 50

The definition of Theta-notation relies on proving ___________asymptotic bound.

29 / 50

Which may be stable sort:

30 / 50

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

31 / 50

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

32 / 50

The Knapsack problem belongs to the domain of _______________ problems.

33 / 50

Random access machine or RAM is a/an

34 / 50

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

35 / 50

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

36 / 50

______________ graphical representation of algorithm.

37 / 50

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

38 / 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.

39 / 50

What is the total time to heapify?

40 / 50

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

41 / 50

In RAM model instructions are executed

42 / 50

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

43 / 50

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

44 / 50

Sieve Technique can be applied to selection problem?

45 / 50

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

46 / 50

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

47 / 50

One example of in place but not stable algorithm is

48 / 50

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

49 / 50

Analysis of Selection algorithm ends up with,

50 / 50

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

from a larger set of _____________

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