aalhour/c-sharp-algorithms

Features

• Algorithmic Problem Implementations - Provides practical code implementations of classic algorithmic challenges for sorting, searching, and graph traversal.
• C# Algorithm Implementations - Provides a comprehensive collection of classic computer science algorithms implemented in C#.
• Algorithms and Data Structures - Implements a wide range of fundamental data structures including linked lists, heaps, and hash tables.
• Complex Data Structure Stores - Implements storage engines that natively support complex types like trees, heaps, and graphs.
• Dictionary Implementations - Provides implementations of hash tables and dictionaries to associate keys with values.
• Graph Traversal Strategies - Ships depth-first and breadth-first traversal strategies for analyzing graph connectivity and structure.
• Graph Theory - Provides tools for modeling network relationships and solving complex graph theory problems.
• Graph Cycle Detection - Provides algorithms for detecting cycles and identifying connected components within graph networks.
• Graph Relationship Modeling - Implements nodes and edges to represent network relationships for pathfinding and analysis.
• Hash Table Implementations - Implements hash tables that associate keys with values using integer index mapping and collision resolution.
• Collection Sorting - Provides utilities for ordering elements within various data collections using different sorting criteria.
• String Manipulation Algorithms - Implements a toolkit for analyzing text similarity through edit distances, anagrams, and permutations.
• C Implementations - Serves as a complete library of standard data structures and computational algorithms implemented in C#.
• Linear Collections - Provides implementations of sequential data structures such as stacks, queues, and linked lists.
• Data Structure Implementations - Provides practical implementations of linear and hierarchical collections like stacks, queues, and self-balancing trees.
• Shortest Path Algorithms - Implements multiple algorithms to calculate the most efficient paths between nodes in weighted and unweighted graphs.
• Weighted Graph Representations - Provides weighted graph representations where edges carry numeric costs for pathfinding optimization.
• Generic Data Structures - Provides type-safe generic data structures that operate across different data types using parametric polymorphism.
• Linked List Implementations - Provides implementations of sequential data access via linked lists and other pointer-based linear collections.
• Priority Heaps - Implements binary tree-based priority heaps to maintain and extract elements based on priority.
• Priority Queues - Implements priority queues using various heap structures to manage elements with associated priorities.
• Comparison-Based Sorting Implementations - Implements standard comparison-based sorting algorithms to order elements via pairwise comparisons.
• Binary Search Implementations - Provides efficient lookups within sorted collections using binary search logic.
• Self-Balancing Tree Implementations - Provides binary and self-balancing trees to maintain fast lookup and insertion times for hierarchical data.
• Iterative and Recursive Traversals - Provides methods for visiting all nodes in trees and graphs using recursive and iterative traversal patterns.
• Computer Science Concepts - Acts as a practical reference for foundational computer science concepts through code implementations.
• Edit Distance Calculators - Implements text similarity analysis using edit distance calculators and permutation generation.
• String Processing Toolkits - Provides a dedicated toolkit for analyzing text similarity and managing prefix-based searches.
• Mathematical Sequences - Calculates mathematical sequences including binomial coefficients, Catalan numbers, and primes using sieving techniques.
• Prime Generation Algorithms - Implements prime generation algorithms using sieve-based numeric computation to identify primes up to a limit.
• Binary Tree Traversals - Implements standard preorder, inorder, and postorder visitation patterns for binary trees.
• Algorithm and Coding Practice - Collection of common algorithms implemented in C#.

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