TheAlgorithms/Rust

Features

• Algorithmic Reference Implementations - Provides a collection of modular, executable reference implementations of algorithms for educational purposes.
• Algorithm Implementations - Provides practical code implementations of common algorithms and design patterns for educational study.
• Computer Science Education - Serves as an educational resource for learning fundamental computer science principles and algorithmic complexity.
• Rust Resources - Provides a practical codebase for learning memory-safe systems programming through the implementation of algorithms.
• Rust - Demonstrates the use of Rust idioms and type systems through the implementation of standard algorithms.
• Algorithmic Patterns - Provides a library of common computational patterns and data structures implemented in Rust.
• Algorithm Libraries - Implements a comprehensive library of standard data structures and algorithms for general computational reference.
• Competitive Programming Resources - Offers a reference of efficient Rust implementations for solving classic competitive programming challenges.
• Ownership-Based Memory Management - Uses Rust's ownership and borrowing system to manage memory safely without a garbage collector during data structure manipulation.
• Crate-Based Modularization - Organizes the algorithm collection into modular Rust crates to optimize compilation and dependency management.
• Generic Types - Implements algorithms using generic type parameters and trait bounds to support multiple numeric and comparable data types.
• Logic Isolation - Separates different algorithmic categories into a hierarchical module structure to prevent namespace collisions.
• Interface-Based Abstractions - Employs trait-based interfaces to decouple algorithmic logic from specific underlying data structure implementations.
• Unit Testing - Integrates unit tests directly within source files to validate the correctness of algorithmic implementations.

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