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Sahil Bondre
Sahil Bondre

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🌈 Merge Sort & Quick Sort in 5 Languages

I am starting this new series wherein I analyse the code for algorithms in 5 languages: C++, Dart, Go, JavaScript and TypeScript. For this post, I'll be comparing two of the most popular sorting algorithms: Quick Sort and Merge Sort.

Merge Sort

Merge sort is a divide and conquer algorithm. We divide the array into two sub-parts. Then we call mergeSort on both these sub-parts. This is the recursive step of merge sort. After this, we have two sorted arrays. We call the merge algorithm which converts these two sorted arrays into a single combined sorted array.

Time Complexity: O(nlogn)
Space Complexity: O(n)

Code is in this repo.

C++

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If you find foo[i++] = bar weird, it's equivalent to foo[i] = bar followed by i++.

Dart

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a ~/ b returns and int on division (and not double).

Go

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JavaScript

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TypeScript

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Quick Sort

Quick Sort is also a divide and conquer algorithm. We first choose a pivot element. Then we divide the array in such a way that, elements smaller than pivot come before pivot and elements larger than pivot come later. Then we recursively call quickSort on each of the smaller sub-arrays.

Time Complexity: O(nlogn)
Space Complexity: O(logn) [Due to recursive calls]

All the code in this repo.

C++

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Dart

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Go

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JavaScript

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TypeScript

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🌈 Code for this series is in this repo (Star it!)
🌟 I made some Cheat-Sheets
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πŸ˜„ Have a wonderful day!

Top comments (2)

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bosley profile image
Bosley

I'd be interested to see the difference in execution time on large data sets in the different languages.

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godcrampy profile image
Sahil Bondre

Woah! How on earth did I forget that. Will do this soon. Thanks πŸ˜„