This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples. The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to
algorithm-base is an educational library and study guide designed for simulating algorithms and studying data structures. It functions as an execution visualizer that renders step-by-step state changes and pointer updates through animated simulations to illustrate how data movement works. The project distinguishes itself by mapping conceptual logic directly to multi-language source code implementations. It utilizes a comparative analysis framework to evaluate different algorithmic strategies based on stability, time complexity, and space complexity, while organizing problems by underlying mec
algs4 is a Java data structures library and algorithm reference collection designed as the source code for a standard computer science textbook curriculum. It provides a comprehensive suite of fundamental implementations for sorting, searching, and core data organization. The project serves as a graph theory framework, offering tools for representing directed and undirected graphs and performing complex traversals and pathfinding. It also includes a broad sorting algorithm suite and a specialized library of Java data structures, including stacks, queues, priority queues, and symbol tables. I
This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin
该项目是一个 JavaScript 排序算法库和教育性编程资源。它提供了一系列经典的排序实现，旨在教授常见数据排序技术背后的逻辑。
The main features of hustcc/js-sorting-algorithm are: Educational Programming Resources, Classic Array Sorting Algorithms, Sorting Algorithms, JavaScript Implementations, Bubble Sorts, Bucket Sorts, Counting Sorts, Heap Sorts.
Open-source alternatives to hustcc/js-sorting-algorithm include: kodecocodes/swift-algorithm-club — This project is a comprehensive collection of common computer science algorithms and data structures implemented in… chefyuan/algorithm-base — algorithm-base is an educational library and study guide designed for simulating algorithms and studying data… kevin-wayne/algs4 — algs4 is a Java data structures library and algorithm reference collection designed as the source code for a standard… oi-wiki/oi-wiki — This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming.… humanwhocodes/computer-science-in-javascript — This is a collection of classic computer science algorithms and data structures implemented from scratch in… teivah/algodeck — Algodeck is an open-source collection of flash cards designed for reviewing algorithms, data structures, and system…