Author name: Edward Stephen Jr.

Heap Sort is a comparison-based sorting algorithm that leverages a binary heap data structure to sort elements. It first builds a max heap from the input array, then repeatedly extracts the maximum element and places it at the end of the array. Heap Sort has a time complexity of O(n log n) and sorts in-place, […]

Quick Sort is a highly efficient, comparison-based, divide-and-conquer sorting algorithm. It works by selecting a pivot element, partitioning the array around the pivot so that smaller elements go to the left and larger elements go to the right, and then recursively sorting the sub-arrays. Quick Sort has an average time complexity of O(n log n)

Merge Sort is a highly efficient, comparison-based, divide-and-conquer sorting algorithm. It divides the array into two halves, recursively sorts each half, and then merges the sorted halves. Merge Sort has a time complexity of O(n log n), making it suitable for large datasets, and it is a stable sorting algorithm, preserving the relative order of

Insertion Sort is a simple and intuitive sorting algorithm that builds the sorted array one element at a time. It works similarly to how people often sort playing cards in their hands: by taking one element at a time and inserting it at the correct position. Insertion Sort is efficient for small or nearly sorted

Selection Sort is a simple comparison-based sorting algorithm that divides the array into a sorted and an unsorted part. It repeatedly selects the smallest (or largest) element from the unsorted part and swaps it with the first element of the unsorted portion. While easy to implement, Selection Sort is not efficient for large datasets, with

Bubble Sort is one of the simplest sorting algorithms, which repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. Despite its simplicity, it is inefficient for large datasets because of its O(n²) time complexity. Bubble Sort is often used for educational purposes to understand sorting concepts

Merging two arrays is a common task in C programming. It allows you to combine elements from separate arrays into a single array, which is useful for managing datasets, sorting, or performing further operations. Understanding how to merge arrays teaches important concepts such as array indexing, memory allocation, and loops. In this tutorial, we will

Deleting an element from an array is a fundamental operation in C programming. It allows you to remove unwanted data and maintain the integrity of your dataset. Understanding how to delete elements is crucial for beginners because it teaches array indexing, shifting elements, and managing memory efficiently. In this tutorial, we will learn how to

Inserting an element into an array is a common task in C programming. It allows you to add new data at a specific position without overwriting existing elements. Understanding how to insert elements helps beginners grasp array indexing, memory management, and shifting elements, which are fundamental skills for building more complex programs. In this tutorial,

Reversing an array is a common task in C programming. It can be useful in many situations such as processing sequences, rearranging data, or applying algorithms. Learning different methods of reversal strengthens your understanding of loops, pointers, recursion, and memory management. In this tutorial, we will explore five approaches to reverse an array: Reversing an