Skip to content

The repository has provided a summary of sorting algorithms. In this summary, the repository explains that sorting involves arranging a collection of elements or data in a specific order, typically in ascending or descending order based on the values of the elements. The repository also discusses the key features and real-life examples of sorting.

Notifications You must be signed in to change notification settings

Krishnamurtyp/Java-Sorting-Algorithms-v1.0

Β 
Β 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Sorting-Algorithms


Sorting is arranging a collection of elements or data in a specific order, typically in ascending or descending order based on the elements' values. Sorting is a fundamental operation in programming used to organize data for various purposes, such as searching, reporting, and data analysis. Sorting can be applied to various data structures, including arrays and lists, and can be performed using built-in methods or custom sorting logic. Sorting ensures that data is ordered and accessible in a structured manner, making it easier to work with and process.


πŸ‘‰πŸ» Features:

a) Ordering: Sorting organizes items in a structured way, facilitating quick access and retrieval.

b) Stability: Some sorting methods maintain the original order of items with the same value, ensuring consistency.

c) Customization: You can sort items based on various criteria, allowing customization to suit specific needs.

d) Applicability: Sorting is used in various real-life scenarios, from managing phone contacts to organizing tasks in a to-do list.


πŸ‘‰πŸ» Daily Life Examples:

a) Phone Contacts: Arranging your contacts in alphabetical order by their last names for easy access.

b) Library Catalog: Sorting books on library shelves by title or author's last name for efficient book retrieval.

c) To-Do List: Ordering tasks by priority or due date to ensure the most critical tasks are addressed first.

d) Spreadsheets: Sorting data in columns for effective data analysis and comparison.

e) Online Shopping: Displaying search results based on price, rating, or relevance to aid decision-making.

f) Music Playlist: Rearranging songs in a playlist by an artist or album to create a personalized listening experience.


πŸ‘‰πŸ» Sorting Algorithms:

Below are the top 30 sorting algorithms that can be used to efficiently organize and arrange data. These algorithms are valuable tools for developers and data scientists, offering a diverse range of approaches to sorting, each with its unique characteristics and performance advantages. Whether it's a simple list of names or complex data structures, these sorting methods empower us to streamline data and access it with ease.

  1. Selection Sort

  2. Bubble Sort

  3. Insertion Sort

  4. Merge Sort

  5. Quick Sort

  6. Heap Sort

  7. Counting Sort

  8. Radix Sort

  9. Bucket Sort

  10. Shell Sort

  11. Cycle Sort

  12. Bogo Sort

  13. Gnome Sort

  14. Strand Sort

  15. Bitonic Sort

  16. Pancake Sort

  17. Sleep Sort

  18. Tree Sort

  19. Odd-Even Sort

  20. 3-Way Merge Sort

  21. Stooge Sort

  22. Tim Sort

  23. Comb Sort

  24. Pigeonhole Sort

  25. Cocktail Shaker Sort

  26. Selection Tree Sort

  27. Smooth Sort

  28. Funnel Sort

  29. Flash Sort

  30. Block Sort


About

The repository has provided a summary of sorting algorithms. In this summary, the repository explains that sorting involves arranging a collection of elements or data in a specific order, typically in ascending or descending order based on the values of the elements. The repository also discusses the key features and real-life examples of sorting.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Java 100.0%