Is Bubble Sort a stable sorting algorithm?
Yes
Stability is irrelevant for Bubble Sort
No
Only in its optimized version
Which of the following sorting algorithms has the best-case time complexity of O(n)?
Selection Sort
Bubble Sort
Both Bubble Sort and Selection Sort
Neither Bubble Sort nor Selection Sort
What does it mean for a sorting algorithm to be 'in-place'?
It sorts the data in its original location without moving elements.
It is the fastest possible sorting algorithm for a given data set.
It sorts the data without requiring significant additional storage space.
It can sort data of any type, including numbers, text, and images.
Which statement BEST describes the significance of understanding sorting algorithms?
It's primarily a theoretical concept with little practical relevance.
It enables developers to choose the most suitable algorithm for a given task based on efficiency and data characteristics.
It's only essential for software engineers specializing in algorithm development.
All sorting algorithms perform equally well, so understanding them is unnecessary.
Which of the following sorting algorithms is NOT comparison-based?
Merge Sort
Radix Sort
Insertion Sort
In what real-world scenario might you encounter the need for a sorting algorithm?
Encrypting a message for secure communication.
Generating random numbers within a specified range.
Displaying search results in order of relevance.
Compressing an image file to reduce its size.
What is the fundamental difference between comparison-based and non-comparison-based sorting algorithms?
Comparison-based algorithms are used for numerical data, while non-comparison-based algorithms are used for text data.
Comparison-based algorithms sort by comparing elements, while non-comparison-based algorithms exploit data properties for sorting.
Comparison-based algorithms are faster than non-comparison-based algorithms.
Comparison-based algorithms are more memory efficient than non-comparison-based algorithms.
Why is understanding the time and space complexity of sorting algorithms crucial?
To convert between different sorting algorithms.
To determine the exact number of comparisons and swaps performed by an algorithm.
To predict the output of a sorting algorithm without actually executing it.
To estimate the efficiency and resource usage of an algorithm for different input sizes.
Insertion Sort can be considered an incremental algorithm. What does this mean?
It performs better on smaller datasets
It can handle data arriving in a continuous stream
It divides the problem into smaller subproblems
It requires the entire dataset to be present in memory
Sorting algorithms can be broadly classified into two categories. What are they?
Stable and Unstable
Recursive and Iterative
Comparison-based and Non-comparison-based
In-place and Out-of-place