aalhour/c-sharp-algorithms
C Sharp Algorithms
Este proyecto es una biblioteca de algoritmos en C# y una colección de estructuras de datos. Sirve como referencia de ciencias de la computación proporcionando implementaciones prácticas de patrones clásicos de ordenamiento, búsqueda y recorrido de grafos.
La biblioteca incluye un kit de herramientas de procesamiento de cadenas dedicado para analizar la similitud de texto, calcular distancias de edición y gestionar búsquedas basadas en prefijos. También cuenta con una implementación de teoría de grafos para modelar relaciones de red y calcular caminos más cortos.
El código base cubre una amplia gama de capacidades, incluyendo la gestión de colecciones lineales y jerárquicas, manipulación y visualización de estructuras de datos de árbol, y el cálculo de secuencias numéricas matemáticas.
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#.
