CS502 Midterm Online Quiz

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CS502-Midterm

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Which may be stable sort:

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

3 / 50

Slow sorting algorithms run in,

4 / 50

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

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

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For the Sieve Technique we take time

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

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

9 / 50

Efficient algorithm requires less computational…….

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

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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.

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In Heap Sort algorithm, if heap property is violated _________

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

14 / 50

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

15 / 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.

16 / 50

In RAM model instructions are executed

17 / 50

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

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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.

19 / 50

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

20 / 50

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

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

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

23 / 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

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

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Floor and ceiling are ____________ to calculate while analyzing algorithms.

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

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

28 / 50

Which may be a stable sort?

29 / 50

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

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

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

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

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

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

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

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

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

38 / 50

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

39 / 50

One example of in place but not stable algorithm is

40 / 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.

41 / 50

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

42 / 50

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

43 / 50

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

44 / 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.

45 / 50

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

46 / 50

Counting sort has time complexity:

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

48 / 50

______________ graphical representation of algorithm.

49 / 50

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

50 / 50

Which sorting algorithm is faster

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