## Which of the sorting technique has its best case performance?

Ques-3: Which of the following sorting algorithms has the highest best case time complexity using array data structure? Best case time complexity of selection sort is O(n2). So, option (D) is correct.

**How do you do a best case analysis?**

Writing a Case Study Analysis

- Read and Examine the Case Thoroughly. Take notes, highlight relevant facts, underline key problems.
- Focus Your Analysis. Identify two to five key problems.
- Uncover Possible Solutions/Changes Needed.
- Select the Best Solution.

**Which sorting technique has highest best case runtime?**

Discussion Forum

Que. | Which of the below given sorting techniques has highest best-case runtime complexity |
---|---|

b. | selection sort |

c. | insertion sort |

d. | bubble sort |

Answer:selection sort |

### Which of the following sorting algorithm guarantees the best performance in the worst case?

Quicksort is usually the fastest, but if you want good worst-case time, try Heapsort or Mergesort.

**Which sorting algorithm is best in worst case?**

**Which sorting algorithm has the least best case complexity?**

ANSWER: Merge sort The merge sort uses the weak complexity their complexity is shown as O(n log n).

#### Which sorting algorithm is faster in worst case?

If you’ve observed, the time complexity of Quicksort is O(n logn) in the best and average case scenarios and O(n^2) in the worst case. But since it has the upper hand in the average cases for most inputs, Quicksort is generally considered the “fastest” sorting algorithm.

**What makes a strong case study?**

Good case studies include key details that show how the customer got from A to B using the product—something you don’t get with customer reviews. Don’t make your reader work too hard to visualize the story. If you can use images and videos, use them!

**What is the best case for heap sort?**

n*log(n)Heapsort / Best complexity

## What is the best case and worst-case time complexity of merge sort algorithm?

Merge Sort is an efficient, stable sorting algorithm with an average, best-case, and worst-case time complexity of O(n log n). Merge Sort has an additional space complexity of O(n) in its standard implementation.

**Which sorting algorithm is fastest in worst case?**