该项目是一套全面的 Java 实现集合，涵盖了标准计算机科学算法、数据结构、图分析和数学计算。它提供了基本数据容器（包括树、堆、映射、Trie 和列表）的参考实现，以及常见的排序和搜索例程。
The main features of phishman3579/java-algorithms-implementation are: Data Structure Implementations, Graph Theory, Custom Data Structure Implementations, Java Implementation References, Algorithm Libraries, Element Search Algorithms, Graph Analysis Algorithms, Sorting Algorithms.
Open-source alternatives to phishman3579/java-algorithms-implementation include: amejiarosario/dsa.js-data-structures-algorithms-javascript — This project is a computer science educational resource and library providing implementations of data structures and… loiane/javascript-datastructures-algorithms — This project is a library and educational resource providing implementations of foundational computer science data… xtaci/algorithms — This is a collection of classical algorithms and data structures implemented as a header-only C++ library. It provides… humanwhocodes/computer-science-in-javascript — This is a collection of classic computer science algorithms and data structures implemented from scratch in… jack-lee-hiter/algorithmsbypython — AlgorithmsByPython is a reference library and educational repository providing runnable Python implementations of… kelvins/algorithms-and-data-structures — This repository is a collection of fundamental computer science algorithms and data structures designed for…
This project is a computer science educational resource and library providing implementations of data structures and algorithms in JavaScript. It serves as an algorithm implementation reference and a toolkit for building foundational data containers, including a collection of sorting algorithms and a guide for learning time and space complexity. The project differentiates itself by pairing class-based implementations with Big O analysis to illustrate asymptotic complexity. It includes a non-linear data structure toolkit featuring self-balancing trees, hash maps, and graphs, alongside comparis
This project is a library and educational resource providing implementations of foundational computer science data structures and algorithms written in JavaScript and TypeScript. It serves as a reference for executing standard sorting, searching, and recursive patterns using modern web technologies. The collection includes typed implementations for both basic containers, such as stacks, queues, and linked lists, and advanced organizational patterns, including trees, heaps, tries, and graphs. The material covers algorithmic analysis and problem solving through the use of Big O notation to eva
This is a collection of classical algorithms and data structures implemented as a header-only C++ library. It provides a suite of tools for general algorithm implementation, including data structure management, graph theory analysis, and string processing. The library is distinguished by its specialized toolkits for cryptographic hashing and encoding, featuring implementations of MD5, SHA-1, and Base64. It also includes advanced capabilities for high-performance string processing via suffix trees and arrays, as well as computational number theory for primality testing and arbitrary-precision
This is a collection of classic computer science algorithms and data structures implemented from scratch in JavaScript. The project provides reference implementations of fundamental concepts including sorting algorithms, binary search, linked lists, and binary search trees, all built as standalone pure functions with no external dependencies. The implementations cover a range of data structures, including singly-linked, doubly-linked, and circular linked lists with full traversal and mutation operations, as well as binary search trees supporting insertion, deletion, and search. Sorting algori