0xAX/go-algorithms
Go Algorithms
This library provides a comprehensive collection of fundamental computer science primitives implemented in Go. It serves as a resource for both educational purposes and production applications, offering standard tools for organizing, searching, and sorting data.
The implementation leverages language-level type parameters to ensure type safety while maintaining flexibility across different data types. It utilizes interface-driven polymorphism and pointer-based memory management to define common behaviors and handle complex structures. To optimize performance, the library employs in-place data mutation to reduce allocation overhead during sorting operations, alongside both iterative and recursive control flow strategies to process information.
The project covers a broad range of computational tasks, including the management of data containers like linked lists, binary trees, stacks, and queues. It also includes a suite of mathematical utility functions for numerical computations, such as calculating factorials, sequences, and greatest common divisors.
Features
- Algorithms and Data Structures - Provides a comprehensive collection of fundamental computer science algorithms and data structures implemented in Go.
- Go Data Structure Implementations - Implements standard containers including linked lists, binary trees, stacks, and queues for Go applications.
- Data Structures - Provides fundamental data structure containers including linked lists, binary trees, stacks, and queues for efficient information management.
- Data Structure Implementations - Provides practical implementations of custom data containers like linked lists and binary trees.
- Algorithmic Efficiency Optimizers - Arranges unordered collections into specific sequences using standard algorithms to optimize data processing.
- Computer Science Education - Serves as a resource for learning and implementing fundamental algorithms and data structures in Go.
- Element Search Algorithms - Provides efficient search algorithms for locating items within data structures using linear, binary, and graph-based traversal.
- Numerical Computation Routines - Implements standard numerical computation routines for calculating factorials, sequences, and greatest common divisors.
- Numerical Computing - Calculates mathematical results and sequences using established reference algorithms for scientific programming.
- Sorting Algorithms - Ships standard sorting algorithms including bubble, merge, quick, and heap sort for organizing data sets.
- Sorting and Searching Implementations - Ships a suite of standard search and sort algorithms for efficiently organizing and retrieving data collections.
- Algorithmic Performance Optimizations - Optimizes search performance by applying standard traversal techniques to complex data sets.
Star history
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