CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

Sorting can be in _________

2 / 50

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

3 / 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.

4 / 50

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

5 / 50

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

from a larger set of _____________

6 / 50

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

7 / 50

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

8 / 50

Floor and ceiling are ____________ to calculate while analyzing algorithms.

9 / 50

For the Sieve Technique we take time

10 / 50

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

11 / 50

A RAM is an idealized machine with ______________ random-access memory.

12 / 50

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

13 / 50

Sieve Technique can be applied to selection problem?

14 / 50

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

15 / 50

Analysis of Selection algorithm ends up with,

16 / 50

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

17 / 50

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

18 / 50

In Heap Sort algorithm, if heap property is violated _________

19 / 50

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

20 / 50

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

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

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

23 / 50

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

24 / 50

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

25 / 50

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

26 / 50

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

27 / 50

In which order we can sort?

28 / 50

Which may be a stable sort?

29 / 50

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

30 / 50

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

31 / 50

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

32 / 50

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

33 / 50

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

34 / 50

Algorithm analysts know for sure about efficient solutions for NP-complete problems.

35 / 50

Upper bound requires that there exist positive constants c2 and n0 such that f(n) ____ c2n for all n <= n0(ye question ghalat lag raha hai mujhae

36 / 50

One example of in place but not stable algorithm is

37 / 50

Counting sort has time complexity:

38 / 50

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

39 / 50

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

40 / 50

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

41 / 50

The Knapsack problem belongs to the domain of _______________ problems.

42 / 50

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

43 / 50

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

44 / 50

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

45 / 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.

46 / 50

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

47 / 50

_______________ is a graphical representation of an algorithm

48 / 50

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

49 / 50

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

50 / 50

______________ graphical representation of algorithm.

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