A comprehensive collection of algorithm implementations in Go, based on the CLRS textbook.
algorithms is a repository containing implementations of classic algorithms and data structures from the CLRS (Introduction to Algorithms) textbook, written in the Go programming language. It provides practical code examples for studying and understanding algorithmic concepts, covering areas like graph theory, dynamic programming, sorting, and tree structures.
Computer science students, software engineers, and developers learning algorithms or seeking reference implementations in Go for educational or professional projects.
It offers a comprehensive, well-organized collection of CLRS-based algorithms in a modern, efficient language (Go), with clear implementations that serve as both a learning tool and a code reference.
CLRS study. Codes are written with golang.
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Implements a wide range of algorithms from the CLRS textbook, including niche ones like Fibonacci heaps and RS-vEB trees, providing a thorough study resource.
The code follows clean, idiomatic Go practices as per the project philosophy, making it a reliable reference for Go developers learning algorithm implementation.
Bridges theory and practice with real code for complex algorithms like push-relabel max flow and dynamic programming solutions, which are often only described theoretically.
Badges for build status, maintainability, and test coverage in the README indicate a reliable, tested codebase suitable for learning and experimentation.
The project uses Go 1.11, which is several years behind current releases, missing performance improvements, new standard library features, and security updates.
The README primarily lists file structures without detailed explanations or tutorials, making it less accessible for beginners needing step-by-step guidance.
Focused on educational purposes, it likely lacks optimizations, comprehensive error handling, and API stability required for production-grade software.