Sorting algorithms: Learn the fundamentals of sorting algorithms

Learn the fundamentals of sorting algorithms , such as insertion sort, merge sort and bucket sort, with Python, Java and C++ code examples. Compare the time and space complexity of each algorithm and see how they work. Sorting algorithms are a set of instructions that take an array or list as an input and arrange the items into a particular order. Sorts are most commonly in numerical or a form of alphabetical (called lexicographical) order, and can be in ascending ... Sorting Algorithms Time Complexity This classification provides a foundation for understanding the strengths and weaknesses of different sorting techniques. 3. Basic Sorting Algorithms (O (n²) Time Complexity) The basic sorting algorithms have a time complexity of O (n²) and are generally used for small datasets due to their inefficiency on larger inputs. These include Bubble Sort , Selection Sort , and Insertion Sort . 3. 1. Bubble Sort Concept: Repeatedly compares adjacent elements and ... Counting Sort It is a non-comparison-based sorting algorithm that works efficiently when the range of input values is small relative to the number of elements. It counts the frequency of each distinct element and uses that count to place elements directly into their correct sorted positions. However, if the maximum value is much larger than the array size (especially more than n log n), then standard comparison-based algorithms are usually more efficient. For more details refer here.