Sorting Algorithms Challenge

What is the average time complexity of Quick Sort?

• O(n)

• O(n^2)

• O(log n)

• O(n log n)

In Merge Sort, what is the primary operation performed on the subarrays?

• Merging the subarrays

• Reversing the subarrays

• Dividing the subarrays

• Sorting the subarrays

What is the worst-case time complexity of Radix Sort?

• O(n log n) for variable-length integers

• O(n) for fixed-length integers

• O(n^2) for large datasets

• O(log n) for small datasets

Which sorting algorithm is generally faster for small datasets, Quick Sort or Merge Sort?

• Selection Sort

• Insertion Sort

• Bubble Sort

• Quick Sort

What is the main advantage of using Merge Sort over Quick Sort?

• Merge Sort has a guaranteed O(n log n) time complexity in all cases.

• Merge Sort is easier to implement than Quick Sort.

• Quick Sort is always faster than Merge Sort.

• Quick Sort has a guaranteed O(n) time complexity in all cases.

How does the partitioning process work in Quick Sort?

• The partitioning process rearranges the array around a pivot, placing smaller elements before and larger elements after it.

• The partitioning process randomly shuffles the elements in the array.

• The partitioning process sorts the entire array in one pass.

• The partitioning process merges two sorted arrays together.

What is the space complexity of Merge Sort?

• O(n)

• O(n^2)

• O(n log n)

• O(1)

Can Radix Sort be used for sorting negative numbers? Why or why not?

• No, Radix Sort only works for positive integers.

• No, negative numbers cannot be sorted using any algorithm.

• Yes, but it is inefficient for negative numbers.

• Yes, with modifications to handle negative values.

What is the best-case time complexity of Quick Sort?

• O(log n)

• O(n^2)

• O(n log n)

• O(n)

In which scenario would you prefer using Radix Sort over other sorting algorithms?

• When sorting large sets of integers or fixed-length strings with a limited range.

• When sorting small sets of floating-point numbers.

• When the data is already sorted in ascending order.

• When memory usage is not a concern and speed is the priority.