CS502 Midterm Online Quiz

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CS502-Midterm

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

2 / 50

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

3 / 50

For the Sieve Technique we take time

4 / 50

Sorting can be in _________

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

6 / 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.

7 / 50

Random access machine or RAM is a/an

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Which may be a stable sort?

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

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Sieve Technique can be applied to selection problem?

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One example of in place but not stable algorithm is

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In which order we can sort?

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_______________ is a graphical representation of an algorithm

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

15 / 50

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

16 / 50

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

17 / 50

Counting sort has time complexity:

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

19 / 50

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

20 / 50

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

21 / 50

In RAM model instructions are executed

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

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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.

24 / 50

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

25 / 50

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

26 / 50

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

27 / 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.

28 / 50

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

29 / 50

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

30 / 50

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

31 / 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.

32 / 50

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

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

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

35 / 50

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

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______________ graphical representation of algorithm.

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

38 / 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

39 / 50

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

40 / 50

The sieve technique works in ___________ as follows

41 / 50

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

42 / 50

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

43 / 50

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

44 / 50

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

45 / 50

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

46 / 50

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

47 / 50

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

48 / 50

Which may be stable sort:

49 / 50

Efficient algorithm requires less computational…….

50 / 50

One Example of in place but not stable sort is

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