# Why quick sort is named as quick?

Table of Contents

## Why quick sort is named as quick?

The algorithm was developed by a British computer scientist Tony Hoare in 1959. The name “Quick Sort” comes from the fact that, quick sort is capable of sorting a list of data elements significantly faster (twice or thrice faster) than any of the common sorting algorithms.

## Is selection sort and quicksort same?

selection sort is slightly better than quicksort for huge data structures ! Where did you get this from? The algorithm takes quadratic time so it’s obviously much worse than quicksort. Actually, how are you going to fit 10GB in RAM, you can’t use any algorithm on your array if it’s not in RAM.

## Does quicksort complexity depends on what pivot element we choose like middle one rightmost one or leftmost one?

The answer depends on the strategy for choosing pivot. In early versions of Quick Sort where the leftmost (or rightmost) element is chosen as a pivot, the worst occurs in the following cases. 1) Array is already sorted in the same order. 2) Array is already sorted in reverse order.

## How you can make a quick sort is best algorithm?

Shuffling the items of the non-sorted list can give a better guarantee that the list is not nearly or already sorted which make the worst-case performance of the quicksort. Shuffling the item gives better randomness in elements position thereby helping the quicksort to perform better. Median-of-three partitioning.

## Which pivot is best for Quicksort?

A quicksort algorithm should always aim to choose the middle-most element as its pivot. Some algorithms will literally select the center-most item as the pivot, while others will select the first or the last element.

## What is the advantage of Quicksort?

Advantages. It is in-place since it uses only a small auxiliary stack. It requires only n (log n) time to sort n items. It has an extremely short inner loop.

## Which is faster N or Nlogn?

No matter how two functions behave on small value of n , they are compared against each other when n is large enough. Theoretically, there is an N such that for each given n > N , then nlogn >= n . If you choose N=10 , nlogn is always greater than n .