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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.

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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 5 of 10

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Q41.
Space complexity of an algorithm is the maximum amount of _______ required by it during execution.

a.

Time

b.

Operations

c.

Memory space

d.

None of the above

Discuss
Answer: (c).Memory space
Q42.
Frequently, the memory space required by an algorithm is a multiple of the size of input. State if the statement is True or False or Maybe.

a.

True

b.

False

c.

Maybe

d.

None of the above

Discuss
Answer: (a).True
Q43.
For many problems such as sorting, there are many choices of algorithms to use, some of which are extremely___________.

a.

Space efficient

b.

Time efficient

c.

Both (a) and (b)

d.

None of the above

Discuss
Answer: (c).Both (a) and (b)
Q44.
In the analysis of algorithms, what plays an important role?

a.

Text Analysis

b.

Growth factor

c.

Time

d.

None of the above

Discuss
Answer: (b).Growth factor
Q45.
An algorithm performs lesser number of operations when the size of input is small, but performs more operations when the size of input gets larger. State if the statement is True or False or Maybe.

a.

True

b.

False

c.

Maybe

d.

None of the above

Discuss
Answer: (a).True
Q46.
To verify whether a function grows faster or slower than the other function, we have some asymptotic or mathematical notations, which is_________.

a.

Big Omega โ„ฆ (f)

b.

Big Theta ฮธ (f)

c.

Big Oh O (f)

d.

All of the above

Discuss
Answer: (d).All of the above
Q47.
A function in which f(n) is โ„ฆ(g(n)), if there exist positive values k and c such that f(n)>=c*g(n), for all n>=k. This notation defines a lower bound for a function f(n):

a.

Big Omega โ„ฆ (f)

b.

Big Theta ฮธ (f)

c.

Big Oh O (f)

d.

None of the above

Discuss
Answer: (a).Big Omega โ„ฆ (f)
Q48.
An algorithm that indicates the amount of temporary storage required for running the algorithm, i.e., the amount of memory needed by the algorithm to run to completion is termed as_____.

a.

Big Theta ฮธ (f)

b.

Space complexity

c.

Big Oh O (f)

d.

None of the above

Discuss
Answer: (b).Space complexity
Q49.
The amount of time the computer needs to run to completion is known as_____.

a.

Space complexity

b.

Time complexity

c.

Recursive function

d.

None of the above

Discuss
Answer: (b).Time complexity
Q50.
___________algorithm is one which utilizes minimum processor time and requires minimum memory space during its execution.

a.

Best

b.

Efficient

c.

Both (a) and (b)

d.

None of the above

Discuss
Answer: (c).Both (a) and (b)
Page 5 of 10

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