CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

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

2 / 50

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

3 / 50

What is the total time to heapify?

4 / 50

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

5 / 50

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

6 / 50

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

7 / 50

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

8 / 50

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

9 / 50

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

10 / 50

The Knapsack problem belongs to the domain of _______________ problems.

11 / 50

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

12 / 50

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

13 / 50

For the Sieve Technique we take time

14 / 50

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

15 / 50

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

16 / 50

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

17 / 50

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

18 / 50

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

19 / 50

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

20 / 50

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

21 / 50

How much time merge sort takes for an array of numbers?

22 / 50

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

23 / 50

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

24 / 50

The sieve technique works in ___________ as follows

25 / 50

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

26 / 50

Slow sorting algorithms run in,

27 / 50

Analysis of Selection algorithm ends up with,

28 / 50

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

29 / 50

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

30 / 50

Counting sort has time complexity:

31 / 50

Brute-force algorithm uses no intelligence in pruning out decisions.

32 / 50

In RAM model instructions are executed

33 / 50

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

34 / 50

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

35 / 50

In which order we can sort?

36 / 50

Sieve Technique can be applied to selection problem?

37 / 50

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

38 / 50

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

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

Which may be a stable sort?

41 / 50

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

42 / 50

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

43 / 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.

44 / 50

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

45 / 50

Quick sort is

46 / 50

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

47 / 50

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

48 / 50

For the sieve technique we solve the problem,

49 / 50

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

50 / 50

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

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