List of Sorting Algorithms
There are many algorithms for sorting data, and the best choice depends on the specific requirements of your application. Some common sorting algorithms include:
Here is a brief description of each:
- Bubble sort: This is a simple sorting algorithm that repeatedly iterates through the list, compares adjacent elements, and swaps them if they are in the wrong order.
- Insertion sort: This algorithm works by iterating through the input list and placing each element in the correct position relative to the elements that come before it.
- Selection sort: This algorithm repeatedly selects the smallest element from the unsorted portion of the list and places it at the end of the sorted portion.
- Merge sort: This algorithm divides the input list into smaller sublists, sorts these sublists, and then merges them back together to form the final sorted list.
- Quick sort: This algorithm uses a divide-and-conquer approach to sort the list. It selects a “pivot” element, partitions the list around the pivot, and then recursively sorts the sublists on either side of the pivot.
- Heap sort: This algorithm builds a binary heap from the input list, then repeatedly extracts the root (maximum) element from the heap and re-heapifies the remaining data.
- Counting sort: This algorithm works by creating an auxiliary array of the same size as the input list, and then counting the number of occurrences of each value in the input list. It then uses this count to determine the correct position of each value in the sorted list.
- Radix sort: This algorithm sorts the input list by comparing the digits (least significant to most significant) of the numbers. It can be used to sort both integers and strings.
I hope this helps! Let me know if you have any questions.