Robert Bosch Searching and Sorting Quiz 3

Radix sort is most suitable for sorting elements in a small range.

The time complexity of radix sort algorithm in the worst case scenario is O(kn), where k is the number of digits in the maximum element.

Interpolation search is based on the principle of comparing the target value with elements at positions that are multiples of a probe value.

The time complexity of jump search algorithm in the worst case scenario is O(√n).

Insertion sort is known for its adaptability, where it performs better on partially sorted or nearly sorted arrays.

The time complexity of shell sort algorithm in the worst case scenario is O(n^2).

External sort is known for its efficiency in sorting large datasets or external data.

The time complexity of external sort algorithm in the worst case scenario is O(n log n).

Fibonacci search is based on the principle of comparing the target value with elements at positions that are multiples of the Fibonacci numbers.

The time complexity of Fibonacci search algorithm in the worst case scenario is O(log n).