CS502 Midterm Online Quiz

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CS502-Midterm

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For the Sieve Technique we take time

2 / 50

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

3 / 50

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

4 / 50

One Example of in place but not stable sort is

5 / 50

Floor and ceiling are ____________ to calculate while analyzing algorithms.

6 / 50

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

7 / 50

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.

8 / 50

______________ graphical representation of algorithm.

9 / 50

What is the solution to the recurrence T(n) = T(n/2)+n .

10 / 50

For the sieve technique we solve the problem,

11 / 50

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

12 / 50

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

13 / 50

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

14 / 50

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

15 / 50

Sorting can be in _________

16 / 50

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

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Which may be stable sort:

18 / 50

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

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Efficient algorithm requires less computational…….

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

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

22 / 50

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

23 / 50

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

24 / 50

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

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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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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.

27 / 50

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

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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 Sieve Technique we do not know which item is of interest

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

31 / 50

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

from a larger set of _____________

32 / 50

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

33 / 50

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

34 / 50

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

35 / 50

For the heap sort we store the tree nodes in

36 / 50

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

37 / 50

Slow sorting algorithms run in,

38 / 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.

39 / 50

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

40 / 50

Which may be a stable sort?

41 / 50

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

42 / 50

Which sorting algorithm is faster

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_______________ is a graphical representation of an algorithm

44 / 50

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

45 / 50

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

46 / 50

In RAM model instructions are executed

47 / 50

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

48 / 50

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

49 / 50

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

50 / 50

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

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