Which of the following is NOT an example of an operation with O(1) time complexity?

Loop iterations with a fixed number of iterations

What does "running time analysis" refer to in algorithm analysis?

Evaluating the number of primitive steps executed by an algorithm.

Which of the following is NOT true about analysis of algorithm

Techniques that drastically maximize the running time of an algo.

Which of the following operations is considered to have a constant time complexity O(1) ?

Retrieving a variable from memory

What is the primary goal of the analysis of algorithms?

To compare algo. mainly in terms of running time & other factors.

What type of operation typically has O(1) time complexity in algorithm analysis?

Memory allocation and deallocation

Which statement accurately describes the time complexity of a loop that runs a constant number of times.

Such a loop has O(1) time complexity.

Why is Analysis of Algorithm important?

It determines the fastest algorithm in terms of time and space.

What is the purpose of algorithm analysis in computer science?

To estimate the computing time and space needed by an algorithm.

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BSCS 3B QUIZ CHAPTER 3

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Answers

1
Which of the following is NOT an example of an operation with O(1) time complexity?
Integer arithmetic operations
Logical operations
Variable assignment
Loop iterations with a fixed number of iterations
2
What does "running time analysis" refer to in algorithm analysis?
Determining the number of programming languages used in an algorithm.
Evaluating the number of primitive steps executed by an algorithm.
Measuring the number of memory units consumed by an algorithm.
Assessing the accuracy of an algorithm's output.
3
Which of the following is NOT true about analysis of algorithm
How to estimate the time required for an algorithm
Process of deriving estimates for the time & space needed to execute algo.
Process of det. how much computing time & storage an algo will require
Techniques that drastically maximize the running time of an algo.
4
Which term describes the mathematical framework for describing the running time of an algorithm?
Algorithmic efficiency
Computational shortcuts
Space analysis
Time complexity
5
Which of the following operations is considered to have a constant time complexity O(1) ?
Implementing a recursive function
Sorting a list of integers
Retrieving a variable from memory
Searching for an element in a sorted array
6
What is the primary goal of the analysis of algorithms?
To study the history of algorithm development.
To develop new algorithms for solving complex problems.
To optimize algorithms for specific hardware configurations.
To compare algo. mainly in terms of running time & other factors.
7
What type of operation typically has O(1) time complexity in algorithm analysis?
Memory allocation and deallocation
Sorting algorithms
Nested loop iterations
Recursive function calls
8
Which statement accurately describes the time complexity of a loop that runs a constant number of times.
Such a loop has O(1) time complexity.
The time complexity depends on the content of the loop.
It is not possible to determine the time complexity of such a loop.
Such a loop has O(n) time complexity.
9
Can be used to describe how fast an algorithm will run.
Frequency Count
Time complexity
Big-O notation
Running Time
10
What is the time complexity of a statement sum= 0; ?
O(lon g)
O(n)
O(1)
O(nlogn)
11
It is the number of elements in the input.
Big-O notation
Input size
Worst case
Running Time
12
If 2 algo. performing the same task have diff. complexities, algo. w/ lower order computing time is usually preferred
False
True
13
Why is Analysis of Algorithm important?
It helps us choose the most common algorithm
It prevents bugs in algorithm implementations.
It determines the fastest algorithm in terms of time and space.
It always yields the same result for all inputs.
14
What is the purpose of algorithm analysis in computer science?
To learn different programming languages.
To reduce the number of available algorithms.
To estimate the computing time and space needed by an algorithm.
To determine the best algorithm in terms of code complexity.
15
What does O(1) represent in the context of time complexity?
Linear time complexity
Exponential time complexity
Quadratic time complexity
Constant time complexity

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