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[Algorithms] Merge Sort - TypeScript Implementation
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/** | |
* @file algorithm-mergeSort.ts - A TypeScript implementation of the Merge Sort algorithm using recursion | |
* @author Avana Vana | |
* @desc Algorithmic complexity: | |
* - Time complexity: Ω(n log(n)), Θ(n log(n)), O(n log(n)) | |
* - Space complexity: O(n) | |
*/ | |
/** | |
* @function mergeSort | |
* @desc Sorts an input array according to the Merge Sort algorithm with recursion and returns the sorted array | |
* @template T | |
* @param {T[]} arr - input array of type T | |
* @returns {T[]} Sorted input array | |
*/ | |
function mergeSort<T>(arr: T[]): T[] { | |
if (arr.length === 1) return arr; | |
let mid = Math.floor(arr.length / 2) | |
return merge(mergeSort(arr.slice(0, mid), mergeSort(arr.slice(mid)); | |
} | |
/** | |
* @function merge | |
* @desc Helper function to combine arrays split by the recursive function {@link mergeSort} | |
* @template T | |
* @param {T[]} left - the left-hand half of an input array of type T | |
* @param {T[]} right - the right-hand half of an input array of type T | |
* @returns {T[]} a merged and sorted array of type T | |
*/ | |
function merge<T>(left: T[], right: T[]): T[] { | |
let sorted: T[] = []; | |
while (left.length && right.length) { | |
if (left[0] < right[0]) sorted.push(left.shift() as T); | |
else sorted.push(right.shift() as T); | |
} | |
return [ ...sorted, ...left, ...right ]; | |
} | |
mergeSort([ 3, 7, 5, 2, 6, 1, 0, 4 ]); | |
// > [ 0, 1, 2, 3, 4, 5, 6, 7 ] |
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