 # Question: What Is Best Worst And Average Case Of An Algorithm?

## What is big O runtime?

Big O Notation is the language we use to describe the complexity of an algorithm.

In other words, Big O Notation is the language we use for talking about how long an algorithm takes to run.

With Big O Notation we express the runtime in terms of — how quickly it grows relative to the input, as the input gets larger ..

## What is the big O notation for the worst case runtime?

But Big O notation focuses on the worst-case scenario, which is 0(n) for simple search. It’s a reassurance that simple search will never be slower than O(n) time.

## What is worst case of an algorithm?

In computer science, the worst-case complexity (usually denoted in asymptotic notation) measures the resources (e.g. running time, memory) that an algorithm requires given an input of arbitrary size (commonly denoted as n or N). It gives an upper bound on the resources required by the algorithm.

## What is average case in algorithm?

In computational complexity theory, the average-case complexity of an algorithm is the amount of some computational resource (typically time) used by the algorithm, averaged over all possible inputs.

## What is best case of an algorithm?

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. Average case is the function which performs an average number of steps on input data of n elements.

## Which is the slowest sorting procedure?

HeapSort: It is the slowest of the sorting algorithms but unlike merge and quick sort it does not require massive recursion or multiple arrays to work.

## What is Big O complexity?

Big O notation is used in Computer Science to describe the performance or complexity of an algorithm. Big O specifically describes the worst-case scenario, and can be used to describe the execution time required or the space used (e.g. in memory or on disk) by an algorithm.

## How do you calculate best worst and average cases?

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 the best worst and average case for binary search algorithm?

Binary search algorithmVisualization of the binary search algorithm where 7 is the target valueClassSearch algorithmWorst-case performanceO(log n)Best-case performanceO(1)Average performanceO(log n)2 more rows

## Is Big O the worst case?

Although big o notation has nothing to do with the worst case analysis, we usually represent the worst case by big o notation. … So, In binary search, the best case is O(1), average and worst case is O(logn). 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 complexity for the best case in linear search?

Linear searchClassSearch algorithmWorst-case performanceO(n)Best-case performanceO(1)Average performanceO(n)Worst-case space complexityO(1) iterative