CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

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

2 / 50

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

3 / 50

______________ graphical representation of algorithm.

4 / 50

Which may be a stable sort?

5 / 50

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

6 / 50

In RAM model instructions are executed

7 / 50

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

8 / 50

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

9 / 50

In the analysis of Selection algorithm, we eliminate a constant fraction of the array with each phase; we get the convergent _______________ series in the analysis,

10 / 50

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

11 / 50

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

12 / 50

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

13 / 50

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

14 / 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.

15 / 50

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

16 / 50

In Heap Sort algorithm, if heap property is violated _________

17 / 50

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

18 / 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.

19 / 50

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

20 / 50

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

21 / 50

For the Sieve Technique we take time

22 / 50

Sorting can be in _________

23 / 50

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

from a larger set of _____________

24 / 50

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.

25 / 50

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

26 / 50

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

27 / 50

Random access machine or RAM is a/an

28 / 50

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

29 / 50

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

30 / 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.

31 / 50

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

32 / 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.

33 / 50

The Knapsack problem belongs to the domain of _______________ problems.

34 / 50

One Example of in place but not stable sort is

35 / 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.

36 / 50

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

37 / 50

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

38 / 50

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

39 / 50

Efficient algorithm requires less computational…….

40 / 50

Counting sort has time complexity:

41 / 50

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

42 / 50

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

43 / 50

Analysis of Selection algorithm ends up with,

44 / 50

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

45 / 50

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

46 / 50

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

47 / 50

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

48 / 50

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

49 / 50

The sieve technique works in ___________ as follows

50 / 50

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

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