CS502 Midterm Online Quiz

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CS502-Midterm

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

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

3 / 50

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

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

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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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The sieve technique works in ___________ as follows

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Sieve Technique can be applied to selection problem?

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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.

9 / 50

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

10 / 50

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

11 / 50

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

12 / 50

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

13 / 50

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

14 / 50

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

15 / 50

Which sorting algorithm is faster

16 / 50

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

17 / 50

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

18 / 50

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

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

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

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______________ graphical representation of algorithm.

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

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

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The Knapsack problem belongs to the domain of _______________ problems.

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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.

26 / 50

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

27 / 50

Random access machine or RAM is a/an

28 / 50

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

29 / 50

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

30 / 50

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

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

32 / 50

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

33 / 50

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

34 / 50

Is it possible to sort without making comparisons?

35 / 50

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

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For the Sieve Technique we take time

37 / 50

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

38 / 50

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

39 / 50

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

40 / 50

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

41 / 50

One Example of in place but not stable sort is

42 / 50

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

43 / 50

For the heap sort we store the tree nodes in

44 / 50

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

45 / 50

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

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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.

47 / 50

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

48 / 50

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

49 / 50

In selection algorithm, because we eliminate a constant fraction of the array with each phase, we get the

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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