Robert Bosch Searching and Sorting Quiz 2

Quick sort is known for its in-place sorting, where the sorting is done within the given array without requiring extra space.

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

Quick sort is based on the concept of partitioning the array into two parts.

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

Linear search is most suitable for searching in a linked list.

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

Binary search is based on the principle of repeatedly dividing the search interval in half.

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

Merge sort is known for its stability, where the relative order of equal elements is preserved.

The time complexity of counting sort algorithm in the worst case scenario is O(n+k), where k is the range of the input elements.