README.md

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WHAT IS C# ALGORITHMS?

A plug-and-play class-library project of standard Data Structures and Algorithms, written in C#. It contains 75+ Data Structures and Algorithms, designed as Object-Oriented isolated components. Even though this project started for educational purposes, the implemented Data Structures[数据结构] and Algorithms[算法] are standard, efficient, stable and tested.

数据结构 https://github.com/riyadparvez/data-structures-csharp

BACK STORY

This project originally started out as an interview preparation project. However, after receiving a great amount of positive responses on reddit, and noticing excitement from a few GitHubers to contribute furthermore to it, the project took on a different meaning. So, I decided to keep maintaining it as a reference for data structures and algorithm implementations in C# as well as my own research side-project under these topics.

DESCRIPTION

Solution Hierarchy:

This is a C#.NET solution-project, and it contains three subprojects:

1. Algorithms: A class library project. Contains the Algorithms implementations
2. Data Structures: A class library project. Contains the Data Structures implementations
3. UnitTest: Unit-testing project for the Algorithms and Data Structures

Requirements:

1. .NET Core >= 2.0
2. XUnit

A Note to Contributors:

If you wish to contribute to C# ALGORITHMS, then please make sure you check out the Contribution Guidelines first.

DATA STRUCTURES

Linear:

• Skip List
• Array List
• Stack
• Queue
• Single-Linked List
• Double-Linked List

Circular:

• Circular Buffer

Heaps:

• Binary-Min Heap
• Binary-Max Heap
• Binomial-Min Heap

Priority Queues:

• Min-Priority Queue
• Key-value Priority Queue

Hashing Functions:

• Prime Hashing Family
• Universal Hashing Family

Hash Tables:

• Chained Hash Table
• Cuckoo Hash Table
• Open-Addressing Hash Table

Sorted Collections (Tree-based):

• Sorted List
• Sorted Dictionary

Trees:

• Basic Search Trees:
  • Binary Search Tree
    • Map version (supports key-value pairing; nodes indexed by keys)
  • (Augmented) Binary Search Tree
  • Ternary Search Tree
• Self-Balancing Trees:
  • AVL Tree
  • B-Tree
  • Red-Black Tree
    • Map version (supports key-value pairing; nodes indexed by keys)
• Prefix Trees:
  • Trie
  • Trie Map (associative prefix tree; complete words are keys to records)

Graphs:

• Undirected Graphs:
  • Clique Graphs
  • Undirected Sparse Graph
  • Undirected Dense Graph
• Undirected Weighted Graphs:
  • Undirected Weighted Sparse Graph
  • Undirected Weighted Dense Graph
• Directed Graphs:
  • Directed Sparse Graph
  • Directed Dense Graph
• Directed Weighted Graphs:
  • Directed Weighted Sparse Graph
  • Directed Weighted Dense Graph

ALGORITHMS

Sorting:

• Bubble Sort
• Bucket Sort
• BST Sort
• Comb Sort
• Counting Sort
• Cycle Sort
• Gnome Sort
• Heap Sort
• Insertion Sort
• LSD Radix Sort
• Merge Sort
• Selection Sort
• Shell Sort
• OddEven Sort
• PigeonHole Sort
• Quick Sort

Searching:

• Binary Search

Graphs:

• Graph Search:
  • Depth-First Searcher
  • Breadth-First Searcher
• Shortest Paths:
  • Breadth-First SPs
  • Bellman-Ford SPs
  • Dijkstra SPs
  • Dijkstra All-Pairs SPs
• DFS Applications:
  • Cycles Detector
  • Topological Sorter
• BFS Applications:
  • Connected Components
  • Bipartite Graphs Coloring

Trees:

• Recursive Binary Tree Walker
  • Methods: PrintAll, ForEach, Contains and BinarySearch. Traversal Modes: Preorder, Inorder & Postorder

Strings:

• Permutations and Anagrams
• Edit Distance
  • Uses a generic custom class for passing costs: EditDistanceCostsMap<T>

Numeric:

• Binomial Coefficients
• Catalan Numbers
• Greatest Common Divisor

Visualization:

• Tree Drawer

CONTRIBUTORS

LICENSE

This project is licensed under the MIT License.