explaingit

phishman3579/java-algorithms-implementation

4,532JavaAudience · developerComplexity · 2/5Setup · easy

TLDR

A readable collection of classic algorithms and data structures in Java, covering sorting, graphs, trees, and more, designed for learning computer science fundamentals and interview prep.

Mindmap

mindmap
  root((java-algorithms))
    Data Structures
      Trees AVL B-Tree
      Hash maps queues
      Graphs directed
      KD-Tree Fenwick
    Algorithms
      Sorting
      Graph shortest path
      String functions
      Math operations
    Use Cases
      Interview prep
      CS fundamentals
      Reference code
    Tech Stack
      Java
      Readable code
      Tested
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Things people build with this

USE CASE 1

Study classic data structures like AVL trees, Red-Black trees, and KD-Trees by reading clean, tested Java code.

USE CASE 2

Prepare for technical interviews by reviewing implementations of sorting, graph shortest-path, and dynamic programming algorithms.

USE CASE 3

Look up how a specific algorithm works, such as Dijkstra or Kruskal, before adapting it to your own project.

USE CASE 4

Refresh your understanding of mathematical algorithms like GCD, modular arithmetic, and the knapsack problem.

Tech stack

Java

Getting it running

Difficulty · easy Time to first run · 30min

No build tooling or packaging system described, clone the repo and run individual Java files directly for reference.

No license information was mentioned in the explanation.

In plain English

java-algorithms-implementation is a collection of classic algorithms and data structures written in Java by Justin Wetherell. The author describes it as material he has implemented over his academic and professional career. The code is written to be correct and readable rather than optimized for maximum performance, and all implementations are tested. The data structures covered include a wide range of tree types (AVL, B-Tree, Red-Black, Splay, Treap, Patricia Trie, Suffix Tree, and others), along with standard structures like hash maps, queues, stacks, lists, and matrices, plus more specialized ones like KD-Trees, Interval Trees, and Fenwick Trees. Both directed and undirected graph types are included. Algorithm categories include: sorting, graph algorithms (shortest path via Dijkstra and Bellman-Ford, minimum spanning tree via Prim and Kruskal, cycle detection, topological sort, connected components), search algorithms, string functions, and mathematical operations such as prime testing, greatest common divisor, permutations, modular arithmetic, and the knapsack problem. This kind of reference collection is useful as a study aid for people learning computer science fundamentals, as a refresher for developers preparing for technical interviews, or as readable source code to consult when you need to understand how a specific algorithm works before adapting it. The README does not describe a library packaging system or build tooling, it is primarily a source code reference organized by category. The project was created and is maintained by Justin Wetherell.

Copy-paste prompts

Prompt 1
Show me the Java implementation of Dijkstra's shortest path algorithm from java-algorithms-implementation and explain each step in plain English.
Prompt 2
I need to understand AVL tree rotations. Walk me through the AVL tree code in java-algorithms-implementation and explain when left vs right rotation happens.
Prompt 3
How does the Red-Black tree insertion work in java-algorithms-implementation? Explain the rebalancing logic step by step.
Prompt 4
I'm preparing for a coding interview. Generate 5 practice problems based on the data structures in java-algorithms-implementation (heap, trie, graph) and show the solution approach using the code in this repo.
Prompt 5
Explain the difference between Prim's and Kruskal's minimum spanning tree algorithms using the Java code in java-algorithms-implementation as reference.
Open on GitHub → Explain another repo

← phishman3579 on gitmyhub — every repo by this author, as a profile.

Verify against the repo before relying on details.