Welcome to the Algorithm Complexity MCQs Page

Dive deep into the fascinating world of Algorithm Complexity with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Algorithm Complexity, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Algorithm Complexity, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Structures and Algorithms.

Check out the MCQs below to embark on an enriching journey through Algorithm Complexity. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Structures and Algorithms.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Algorithm Complexity. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Algorithm Complexity MCQs | Page 3 of 10

Explore more Topics under Data Structures and Algorithms

01

Data Structures Basics

02

Data Types and Abstraction

03

Arrays and Pointers

04

Linked Lists

05

Stacks and Queues

06

Recursion

07

Trees

08

Graphs

09

String Operations

10

Sorting and Searching

11

Object Oriented Programming

12

Dynamic Programming

Q21.

The space factor when determining the efficiency of algorithm is measured by

Counting the maximum memory needed by the algorithm

Counting the minimum memory needed by the algorithm

Counting the average memory needed by the algorithm

Counting the maximum disk space needed by the algorithm

Discuss

Answer: (a).Counting the maximum memory needed by the algorithm

Q22.

Which of the following case does not exist in complexity theory

Best case

Worst case

Average case

Null case

Discuss

Answer: (d).Null case

Q23.

The complexity of the average case of an algorithm is

Much more complicated to analyze than that of worst case

Much more simpler to analyze than that of worst case

Sometimes more complicated and some other times simpler than that of worst case

None of the above

Discuss

Answer: (a).Much more complicated to analyze than that of worst case

Q24.

The complexity of linear search algorithm is

O(n)

O(log n)

O(n2)

O(n log n)

Discuss

Answer: (a).O(n)

Q25.

The complexity of Binary search algorithm is

O(n)

O(log n)

O(n2)

O(n log n)

Discuss

Answer: (b).O(log n)

Q26.

The complexity of Bubble sort algorithm is

O(n)

O(log n)

O(n2)

O(n log n)

Discuss

Answer: (c).O(n2)

Q27.

The complexity of merge sort algorithm is

O(n)

O(log n)

O(n2)

O(n log n)

Discuss

Answer: (d).O(n log n)

Q28.

Let A be an array of 31 numbers consisting of a sequence of 0’s followed by a sequence of 1’s. The problem is to find the smallest index i such that A[i] is 1 by probing the minimum number of locations in A. The worst case number of probes performed by an optimal algorithm is________.

Discuss

Answer: (d).5

Q29.

The complexity of multiplying two matrices of order m*n and n*p is

mnp

Discuss

Answer: (a).mnp

Q30.

Merging 4 sorted files containing 50, 10, 25 and 15 records will take____time.

O (100)

O (200)

O (175)

O (125)

Discuss

Answer: (a).O (100)

Page 3 of 10

Welcome to the Algorithm Complexity MCQs Page

Algorithm Complexity MCQs | Page 3 of 10

Explore more Topics under Data Structures and Algorithms

Data Structures Basics

Data Types and Abstraction

Arrays and Pointers

Linked Lists

Stacks and Queues

Recursion

Trees

Graphs

String Operations

Sorting and Searching

Object Oriented Programming

Dynamic Programming

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