Robert Bosch Searching and Sorting Quiz 4

Counting sort is known for its efficiency in sorting partially sorted arrays or arrays with few unique elements.

Hash search is based on the principle of hashing the elements into a hash table for efficient retrieval.

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

The time complexity of hash search algorithm in the worst case scenario is O(n), but it can be O(1) on average.

Radix sort is known for its efficiency in sorting elements with integer keys.

The time complexity of topological sort algorithm in the worst case scenario is O(V + E), where V is the number of vertices and E is the number of edges in the graph.

Insertion search is based on the principle of maintaining a sorted subarray and inserting the target value at its appropriate position.

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

Radix sort is known for its efficiency in sorting elements with floating-point keys.

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