Question

which sorting algorithm has best asymptotic runtime complexity

Answer 1

Counting and Merge Sort has best asymptotic runtime complexity.

Answer 2

Answer:

"Heap sorting technique" is said to have the "best asymptotic run time complexity". The "run time of the algorithm" is usually denoted by the "number of steps" required to solve defined problem. The "programmer" needs to understand the number of steps the sorting technique will take in order to optimise the program run time. There are three types of performances which represents the running time usage.

i) Best case performance: "best case" represents the "least usage of run time"

ii) Average case performance: "Average case" represents the "average usage of run time"

iii) Worst case performance: "Worst case" represents the "at most usage of run time"

Among all the sorting techniques, "Heap sorting" provides the "best asymptotic run time complexity". Heap sorting technique is a comparison type of sorting technique. It is somewhat similar to selection sorting technique where the maximum number is chosen first from the given elements and placed it at the end. The "best case performance" for Heap Sorting is denoted by "n*log(n)" and the "worst case" is also denoted by the same.