CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

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

2 / 50

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

3 / 50

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

4 / 50

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

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

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Which may be a stable sort?

7 / 50

Algorithm analysts know for sure about efficient solutions for NP-complete problems.

8 / 50

Sorting can be in _________

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

10 / 50

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

11 / 50

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

12 / 50

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

13 / 50

The Knapsack problem belongs to the domain of _______________ problems.

14 / 50

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

15 / 50

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

16 / 50

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

17 / 50

For the Sieve Technique we take time

18 / 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.

19 / 50

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

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

21 / 50

Analysis of Selection algorithm ends up with,

22 / 50

Is it possible to sort without making comparisons?

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Floor and ceiling are ____________ to calculate while analyzing algorithms.

24 / 50

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

25 / 50

Efficient algorithm requires less computational…….

26 / 50

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

27 / 50

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

28 / 50

For the Sieve Technique we take time

29 / 50

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

30 / 50

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

31 / 50

What is the total time to heapify?

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Quick sort is

33 / 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

34 / 50

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

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

37 / 50

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

38 / 50

Due to left complete nature of binary tree, the heap can be stored in

39 / 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.

40 / 50

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

41 / 50

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

42 / 50

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

43 / 50

In which order we can sort?

44 / 50

_______________ is a graphical representation of an algorithm

45 / 50

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

46 / 50

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

47 / 50

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

48 / 50

Sieve Technique can be applied to selection problem?

49 / 50

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

50 / 50

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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