Quick Sort is one of the most popular and efficient sorting algorithms used in programming today. It works using a smart idea called divide and conquer, where a large problem is broken into smaller parts, solved individually, and then combined. In simple terms, Quick Sort picks a value called a pivot, places it in the […]
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Merge Sort is a powerful and efficient sorting algorithm that is widely used in real-world software. Unlike simple sorting methods, Merge Sort uses a smart idea called divide and conquer. This means it breaks a large problem into smaller parts, solves them one by one, and then joins the results together. In JavaScript, Merge Sort
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Selection Sort is another simple and beginner-friendly sorting algorithm that helps new learners understand how sorting works in JavaScript. The main idea of Selection Sort is very easy to follow. It works by finding the smallest value in an array and placing it at the correct position, then repeating the same process for the remaining
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Insertion Sort is a simple and friendly sorting algorithm that feels very natural to understand. It works the same way people often sort playing cards in their hands. You pick one card at a time and place it in the correct position among the already sorted cards. In JavaScript, Insertion Sort follows this same idea
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Bubble Sort is one of the oldest and simplest sorting algorithms, and that is why it is often the first one beginners learn when studying JavaScript or any other programming language. The idea behind Bubble Sort is very easy to understand. It works by comparing two neighboring values and swapping them if they are in
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Counting Sort is a simple and efficient sorting algorithm, especially useful for sorting integers within a known range. Unlike comparison-based sorting algorithms such as quicksort or mergesort, Counting Sort counts the occurrence of each element and then calculates the position of each element in the sorted output. This makes it extremely fast for datasets where
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Tree Sort is a fascinating and intuitive sorting algorithm that uses the concept of binary search trees (BST) to sort elements efficiently. By inserting elements into a BST, the algorithm organizes data in such a way that an in-order traversal produces a sorted sequence. This makes Tree Sort both elegant and easy to understand for
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Tim Sort is a highly efficient sorting algorithm that combines ideas from merge sort and insertion sort. It was originally designed to handle real-world data efficiently, taking advantage of already-sorted sequences in arrays. The main concept is to divide the array into small segments called “runs,” sort each run using insertion sort, and then merge
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Shell Sort is an efficient sorting algorithm that improves upon simple insertion sort by allowing exchanges of elements that are far apart. The main idea is to first sort elements far apart from each other and gradually reduce the gap between elements to be compared. This approach makes Shell Sort faster than insertion sort for
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Bucket Sort is a simple and intuitive sorting algorithm that works by dividing an array into several “buckets,” sorting each bucket individually, and then combining them. This approach is especially efficient when the input is uniformly distributed across a known range. Rust programmers benefit from learning Bucket Sort because it introduces practical ways to handle
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