Types of Sorting Algorithms 📊💻 Sorting algorithms are essential in computer science, and there are several types to choose from. Here's a breakdown of some popular ones: 1. Bubble Sort 🫧 - Compares adjacent elements and swaps them if they're in the wrong order - Largest (or smallest) element "bubbles" up to its correct position in each iteration - Time Complexity: O(n^2) ⏱ 2. Selection Sort 🔍 - Repeatedly selects the minimum (or maximum) element from the unsorted part - Places it at the beginning (or end) of the sorted portion - Time Complexity: O(n^2) ⏱ 3. Insertion Sort 📈 - Builds the final sorted array one element at a time - Scans the array, comparing each element with previous ones and inserting it at the correct position - Time Complexity: O(n^2) ⏱ 4. Merge Sort 🔄 - Divide-and-conquer algorithm that divides the array into two halves - Recursively sorts them and then merges them to obtain a sorted array - Time Complexity: O(n log n) ⏱ 5. Quick Sort ⚡ - Selects a pivot element and partitions the array around it - Recursively sorts the sub-arrays on either side of the pivot - Time Complexity: O(n log n) on average, O(n^2) in the worst case ⏱ 6. Heap Sort 🌟 - Uses a binary heap data structure to sort elements - Builds a max (or min) heap from the array and then repeatedly extracts the maximum (or minimum) element - Time Complexity: O(n log n) ⏱ 7. Radix Sort 🔢 - Sorts elements by processing them digit by digit - Performs sorting based on the values of individual digits, from least significant to most significant - Time Complexity: O(nk), where k is the number of digits in the largest element ⏱ Each sorting algorithm has its strengths and weaknesses, and the choice of algorithm depends on the specific use case and requirements.