Home Backend Development C++ What are the methods of sorting algorithms? Share the top ten classic sorting algorithms in 2025

What are the methods of sorting algorithms? Share the top ten classic sorting algorithms in 2025

Apr 04, 2025 am 07:06 AM
bubble sort algorithm Sorting Algorithm insertion sort algorithm counting sort algorithm selection sort algorithm Bubble Sort 2025

Sorting algorithms are an indispensable part of computer science and are used to effectively and efficiently organize data items. This article intends to introduce ten classic sorting algorithms to provide readers with a comprehensive overview of sorting algorithms. These algorithms include bubble sort, selection sort, insert sort, merge sort, quick sort, heap sort, cardinal sort, bucket sort, count sort, and cardinal heap sort. This article will discuss the principles, complexity, advantages and disadvantages of each algorithm one by one, and help readers choose the most suitable sorting algorithm according to specific needs.

What are the methods of sorting algorithms? Share the top ten classic sorting algorithms in 2025

Types of sorting algorithms

A sorting algorithm is an algorithm that sorts a set of data to conform to a certain specific order (such as ascending or descending). There are many different sorting algorithms, each with its own unique advantages and disadvantages.

Top 10 Classic Sorting Algorithms

In 2025, the following ten classic sorting algorithms are still widely used:

  1. Bubble sort
  2. Select Sort
  3. Insert sort
  4. Quick sort
  5. Merge sort
  6. Heap sorting
  7. Count sorting
  8. Bucket sorting
  9. Cardinality sorting
  10. Radiation sorting

Algorithm type

The sorting algorithm can be classified according to its time and space complexity:

  • Time complexity : Measures the time it takes for an algorithm to process data.
  • Space complexity : Measures the amount of storage space required by the algorithm at runtime.

Selection Algorithm

Choosing the appropriate sorting algorithm depends on the type, size, and sorting order of the data. Some algorithms are more efficient for small data sets, while others are more efficient for large data sets. Some algorithms are suitable for specific types of data, while others are more general.

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