## Which of the following covers the worst case scenario?

Big-O Notation (Ο) Big O notation specifically describes worst case scenario. It represents the upper bound running time complexity of an algorithm.

### What would be the worst case time complexity?

Worst-case time complexity denotes the longest running time W(n) of an algorithm given any input of size n. It gives an upper bound on time requirements and is often easy to compute. The drawback is that it can be overly pessimistic.

**What is the best case and worst case complexity?**

Usually the resource being considered is running time, i.e. time complexity, but could also be memory or other resource. Best case is the function which performs the minimum number of steps on input data of n elements. Worst case is the function which performs the maximum number of steps on input data of size n.

**What is worst case time complexity of quick sort?**

The worst case time complexity of a typical implementation of QuickSort is O(n2). The worst case occurs when the picked pivot is always an extreme (smallest or largest) element. This happens when input array is sorted or reverse sorted and either first or last element is picked as pivot.

## What is QuickSort worst case?

n^2Quicksort / Worst complexity

Answer: The worst case of quicksort O(N^2) can be easily avoided with a high probability by choosing the right pivot. Obtaining an average-case behavior by choosing the right pivot element makes the performance better and as efficient as merge sort.

### Is Big O notation the worst case?

Worst case — represented as Big O Notation or O(n) Big-O, commonly written as O, is an Asymptotic Notation for the worst case, or ceiling of growth for a given function. It provides us with an asymptotic upper bound for the growth rate of the runtime of an algorithm.

**How do you find the worst case and best case of an algorithm?**

In the simplest terms, for a problem where the input size is n:

- Best case = fastest time to complete, with optimal inputs chosen. For example, the best case for a sorting algorithm would be data that’s already sorted.
- Worst case = slowest time to complete, with pessimal inputs chosen.
- Average case = arithmetic mean.

**What is worst case for bubble sort?**

n^2Bubble sort / Worst complexity

## Is Theta The average case?

Theta notation is used to describe the asymptotic behavior of a class of functions. It can be used for many things including time complexity and memory complexity. It can be used for average case complexity just like for worst case complexity.

### Is Theta The best case?

So, asymptotic notations are used to describe the best, average, or worst case (types of analysis) of an algorithm. In short, there is no kind of relationship of the type “big O is used for worst case, Theta for average case”.

**What is the best example of best worst most likely case?**

common thread of conversation. John considers the worst, best and most likely outcome to a scenario that is worrisome to him. John stands in line at the grocery and decides what the best worst and most likely reason is that the woman in front of him. is yelling at her child.

**What is best worst and average case complexity explain with example?**

Best case = fastest time to complete, with optimal inputs chosen. For example, the best case for a sorting algorithm would be data that’s already sorted. Worst case = slowest time to complete, with pessimal inputs chosen.