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LogicStack-LeetCode is a curated repository of solved algorithm problems and data structure implementations, primarily drawn from the LeetCode platform. Its core identity is a structured collection of solutions designed to support technical interview preparation and competitive programming practice, with each solution accompanied by complexity analyses to help engineers understand performance trade-offs. The repository distinguishes itself through its breadth of coverage across fundamental algorithmic patterns and data structures. It includes implementations for array manipulation, string pro

Acest proiect este o colecție cuprinzătoare de biblioteci și toolkit-uri C++ care oferă implementări de referință pentru structuri de date, algoritmi pe grafuri și logică pe biți. Acesta servește drept referință de algoritmi C++ conținând peste 180 de probleme de programare rezolvate și un toolkit specializat pentru programarea competitivă. Repository-ul se distinge prin biblioteci extinse de manipulare a biților la nivel scăzut pentru verificări de paritate, detectarea endianness-ului și logică bazată pe XOR. De asemenea, oferă o gamă largă de soluții de referință pentru provocări algoritmice complexe care implică backtracking, teoria grafurilor și programare dinamică. Suprafața de capabilități acoperă organizatori de date liniari și ierarhici fundamentali, inclusiv liste înlănțuite, stive, cozi și arbori binari de căutare. Include o suită completă de algoritmi pe grafuri pentru pathfinding și arbori de acoperire minimă, diverse metode de sortare și căutare, transformări de matrice și utilitare pentru procesarea șirurilor de caractere. În plus, acoperă funcții matematice computaționale, compresia datelor fără pierderi și cifruri criptografice de bază.

This is a collection of classical algorithms and data structures implemented as a header-only C++ library. It provides a suite of tools for general algorithm implementation, including data structure management, graph theory analysis, and string processing. The library is distinguished by its specialized toolkits for cryptographic hashing and encoding, featuring implementations of MD5, SHA-1, and Base64. It also includes advanced capabilities for high-performance string processing via suffix trees and arrays, as well as computational number theory for primality testing and arbitrary-precision

LeetCode-Swift is a collection of algorithm solutions written in Swift, designed for coding interview preparation. Each solution is implemented as a self-contained function with no external dependencies, making it easy to run and test. The repository organizes solutions by topic and company, and every file includes time and space complexity annotations, allowing quick evaluation of algorithmic efficiency. What sets this repository apart is its flat file structure and the way solutions are tagged with the companies that asked them in interviews, enabling targeted practice. All code resides in

This repository is a curated guide and implementation library of coding patterns used to solve data structures and algorithms problems. It serves as a technical interview study resource, providing a comprehensive set of strategies and computational logic examples for optimizing time and space complexity. The project focuses on standardized algorithmic patterns, including sliding windows, two pointers, and dynamic programming. It features specific implementations for a wide range of challenges, such as LeetCode problem solutions and specialized techniques like cyclic sort and bitwise XOR opera

This project is a Go algorithm implementation library and a reference for data structures. It serves as a collection of solved coding interview problems and an algorithmic pattern collection, providing a reference of over 100 common challenges implemented in Go. The library focuses on specific problem-solving strategies, including sliding windows, two pointers, and dynamic programming. It provides coded examples of standard sorting, searching, and graph traversal techniques to facilitate the study of algorithmic patterns. The repository covers a broad range of capabilities, including array a

This project is a collection of optimized computational routines and standardized implementations of fundamental computer science algorithms. It serves as an educational library for studying and applying core algorithmic patterns, including dynamic programming, greedy strategies, and recursive decomposition, within a TypeScript environment. The library distinguishes itself by providing generalized solvers for complex optimization and analysis tasks. It includes specific implementations for resource allocation, such as rod cutting, interval scheduling, and change-making problems, alongside seq

This repository serves as a comprehensive resource for competitive programming and technical interview preparation. It provides a structured collection of source code implementations for fundamental data structures and classic algorithmic problems, designed to help developers master core computer science concepts and efficient coding strategies. Beyond standard problem-solving, the project distinguishes itself by integrating software design patterns into its algorithmic implementations. It demonstrates how to apply structural and behavioral patterns—such as decorators, observers, and singleto