CS502 Midterm Online Quiz

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CS502-Midterm

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

2 / 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.

3 / 50

Slow sorting algorithms run in,

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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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Asymptotic growth rate of the function is taken over_________ case running time.

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

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

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

9 / 50

A RAM is an idealized algorithm with takes an infinitely large random-access memory.

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

11 / 50

While solving Selection problem, in Sieve technique we partition input data __________w

12 / 50

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

13 / 50

Sieve Technique can be applied to selection problem?

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

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

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

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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.

18 / 50

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

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For the sieve technique we solve the problem,

20 / 50

The time assumed for each basic operation to execute on RAM model of computation is-----

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

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In RAM model instructions are executed

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______________ graphical representation of algorithm.

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

25 / 50

Quick sort is

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

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

28 / 50

Counting sort has time complexity:

29 / 50

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

30 / 50

Sorting can be in _________

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

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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 addition to passing in the array itself to Merge Sort algorithm, we will pass in _________other arguments which are indices.

34 / 50

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

35 / 50

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

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

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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.

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

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

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

41 / 50

Which sorting algorithm is faster

42 / 50

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

43 / 50

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

44 / 50

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

45 / 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.

46 / 50

What is the total time to heapify?

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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.

48 / 50

Which may be a stable sort?

49 / 50

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

50 / 50

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

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