To define the architecture and structure for a personal C++ GitHub repository focused on learning, practicing, and organizing solutions for algorithms and data structures.
I'd like to set up a new GitHub repository to serve as a personal collection for learning and practicing various algorithms and data structures. The main intent is to implement and organize solutions to common algorithmic problems, similar to what one might encounter in an algorithms course or competitive programming context.
The primary technology stack for all implementations should be C++. I've chosen C++ because it's a highly performant language widely used in competitive programming and academic algorithm studies, allowing for efficient solutions to complex problems. The focus isn't on a specific end-user application, but rather on building a robust, well-structured, and easily navigable set of algorithm implementations.
Could you help me define an architecture and structure for this repository? I envision distinct directories for different categories of algorithms, such as 'Dynamic Programming', 'Graph Algorithms', 'Greedy Algorithms', and 'Backtracking'. Additionally, I'd like to include more fundamental algorithm types like 'Sorting' and 'Searching', possibly starting as standalone files. It would also be beneficial to have flexible folders to house solutions for specific assignments, lab exercises, or quizzes, allowing me to track progress and keep assignment-related work organized.
The overall goal is a clear, modular, and maintainable structure that makes it simple to find and review specific algorithm implementations in C++. Each implementation should be self-contained within its relevant category, focusing on correctness and demonstrating efficient problem-solving techniques.