How to implement Quicksort algorithm in JavaScript
In this post we will give you information about How to implement Quicksort algorithm in JavaScript. Hear we will give you detail about How to implement Quicksort algorithm in JavaScriptAnd how to use it also give you demo for it if it is necessary.
we are going to learn about quicksort algorithm and its implementation in JavaScript.
Quicksort
- it is an efficient sorting algorithm for the larger datasets where it
performs faster than the merge sort and heap sort.
- It was Developed by a British computer scientist Tony in 1959 and published in 1961.
How does quicksort works?
Consider an array which has 5 items [3,6,4,1,2]
First, we need to choose the pivot value from the array, we can choose any thing as a pivot value so that we are choosing last item 2 as a pivot.
Next, we need to loop through the array and compare with pivot value 2. If any item which is less than pivot value place that on left-hand side else if any item is greater than the pivot value place that item on the right-hand side.
- We need to run the quickSort recursively on right part and left part to get the sorted array.
Quicksort algorithm implementation
Let’s implement the quicksort algorithm in JavaScript.
First, we are creating a quickSort function with three parameters which are arr, length and start.
arr : unsorted array.
length : How many times we need to loop.
start: loop starting point.
function quickSort(arr<span>,length = arr.length-1,start=0){ if(arr.length < 2){ return arr; // base case } const pivot = arr[arr.length-1]; const left = [ ]; const right = [ ];}
Next, we are using a while loop which helps us to loop over the items in a unsorted array, if any item is less than pivot value push that item into the left array else push into the right array.
function quickSort(arr,length = arr.length-1,start=0){ if(arr.length < 2) { return arr; } const pivot = arr[arr.length-1]; const left = [ ]; const right = [ ]; while (start < length) { if (arr[start] < pivot){ left.push(arr[start]) } else { right.push(arr[start]) } start++ // incrementing start value }}
The final step we need to run the quickSort recursively on both left-hand sideand right-hand side to get the sorted array.
function quickSort(arr, length = arr.length - 1, start = 0) { if (arr.length < 2) return arr // base case const pivot = arr[arr.length - 1]; //pivot value const left = [ ]; // left handside array const right = [ ]; // right handside array while (start < length) { // comparing and pushing if (arr[start] < pivot){ left.push(arr[start]) } else { right.push(arr[start]) } start++ // incrementing start value } // calling quick sort recursively return [...quickSort(left), pivot, ...quickSort(right)];}console.log(quickSort([4, 9, 2, 6, 8, 10, 3, 1, 7, 5]))//output => [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
In the above code we used spread operator to combine the left and right part of the arrays.
Quicksort Time complexity
Average case – O(nlogn)
Best case – O(nlogn)
Tested using Mocha and chai
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