yourtion/LearningMasteringAlgorithms-C
FreeMastering Algorithms with C 《算法精解：C语言描述》源码及Xcode工程、Linux工程
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About yourtion/LearningMasteringAlgorithms-C
This GitHub repository provides complete source code and Xcode/Linux project files for the book 'Mastering Algorithms with C' (《算法精解：C语言描述》). It includes implementations of essential data structures (linked lists, stacks, queues, sets, hash tables, trees, heaps, graphs) and algorithms (sorting, searching, numerical methods, data compression, encryption, graph algorithms, geometric algorithms). The project is designed to help learners understand and experiment with algorithms in C, with easy setup on macOS via Xcode or on Linux via command line.
Key Features
Complete source code for data structures: linked list, stack, queue, set, hash table, tree, heap, graph
Implementation of algorithms: sorting, searching, numerical methods, data compression (Huffman, LZ77), encryption (DES, RSA), graph algorithms (MST, shortest path, TSP), geometric algorithms
Xcode project for macOS development and command-line build for Linux
Example programs for each data structure and algorithm
MIT license for free use and modification
Pros & Cons
Pros
- Covers a wide range of classic data structures and algorithms
- Provides both macOS (Xcode) and Linux build support
- Open source with MIT license, free to use and distribute
- Examples are self-contained and easy to run
- Useful supplement to the 'Mastering Algorithms with C' book
Cons
- Limited to examples from one specific textbook; may not include more recent algorithms
- No active maintenance or updates visible since last commit
- Requires basic knowledge of C and build tools to use effectively
Best For
Learning and teaching algorithms and data structures in CReference implementation for mastering algorithms from the bookHands-on experimentation with algorithm performance and behaviorBuilding foundational knowledge for competitive programming or systems programming
FAQ
How do I run the examples on Mac?
Open MasteringAlgorithms.xcodeproj in Xcode on macOS. The Algorithms.xcodeproj contains the algorithm library, and each Example is a separate runnable file.
How do I run the examples on Linux?
Use a C compiler like cc or gcc. Run the provided './run' script with the example directory name (e.g., './run bfs'), or compile manually using: gcc source/*.c Example/bfs/main.c -I ./include -o bfs && ./bfs
What license is this project under?
The project is licensed under the MIT License, as indicated in the repository.