CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

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

2 / 50

In Heap Sort algorithm, if heap property is violated _________

3 / 50

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

4 / 50

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

5 / 50

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

6 / 50

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

7 / 50

The sieve technique works in ___________ as follows

8 / 50

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

9 / 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.

10 / 50

If there are Θ (n2) entries in edit distance matrix then the total running time is

11 / 50

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

12 / 50

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

13 / 50

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

14 / 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.

15 / 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.

16 / 50

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

17 / 50

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

18 / 50

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

19 / 50

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

20 / 50

Slow sorting algorithms run in,

21 / 50

One Example of in place but not stable sort is

22 / 50

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

23 / 50

One example of in place but not stable algorithm is

24 / 50

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

25 / 50

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

from a larger set of _____________

26 / 50

Floor and ceiling are ____________ to calculate while analyzing algorithms.

27 / 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.

28 / 50

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

29 / 50

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

30 / 50

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

31 / 50

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

32 / 50

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

33 / 50

Efficient algorithm requires less computational…….

34 / 50

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

35 / 50

For the heap sort we store the tree nodes in

36 / 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.

37 / 50

The Knapsack problem belongs to the domain of _______________ problems.

38 / 50

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

39 / 50

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

40 / 50

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

41 / 50

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.

42 / 50

Which may be a stable sort?

43 / 50

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

44 / 50

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

45 / 50

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

46 / 50

In RAM model instructions are executed

47 / 50

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

48 / 50

In which order we can sort?

49 / 50

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

50 / 50

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

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