CS502 Midterm Online Quiz

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CS502-Midterm

1 / 50

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

2 / 50

Which may be a stable sort?

3 / 50

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

4 / 50

One example of in place but not stable algorithm is

5 / 50

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

6 / 50

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

7 / 50

In Heap Sort algorithm, if heap property is violated _________

8 / 50

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

9 / 50

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

10 / 50

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

11 / 50

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

12 / 50

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

13 / 50

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

14 / 50

_______________ is a graphical representation of an algorithm

15 / 50

Sorting can be in _________

16 / 50

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

17 / 50

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

18 / 50

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

19 / 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,

20 / 50

What is the total time to heapify?

21 / 50

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

22 / 50

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

23 / 50

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

24 / 50

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

25 / 50

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

26 / 50

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

27 / 50

In RAM model instructions are executed

28 / 50

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

29 / 50

Counting sort has time complexity:

30 / 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.

31 / 50

For the heap sort we store the tree nodes in

32 / 50

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

33 / 50

______________ graphical representation of algorithm.

34 / 50

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

35 / 50

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

36 / 50

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

37 / 50

The Knapsack problem belongs to the domain of _______________ problems.

38 / 50

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

39 / 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.

40 / 50

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

41 / 50

Sieve Technique applies to problems where we are interested in finding a single item from a larger set of _____________

42 / 50

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

43 / 50

What is the total time to heapify?

44 / 50

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

45 / 50

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

46 / 50

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

47 / 50

The sieve technique works in ___________ as follows

48 / 50

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

49 / 50

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

50 / 50

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

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