alexeygrigorev/codeforces-solutions-java — explained in plain English
Analysis updated 2026-07-14 · repo last pushed 2020-10-03
Study worked examples of competitive programming solutions in Java
Learn algorithm design patterns by browsing solutions to timed coding puzzles
Reference optimization techniques from a discrete optimization course
Practice reading Java code that solves mathematical and logic challenges
| alexeygrigorev/codeforces-solutions-java | alexeygrigorev/rseq | hyperionelectronicsco/jarvis | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | Java | Java | Java |
| Last pushed | 2020-10-03 | 2016-11-25 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | easy | easy | moderate |
| Complexity | 1/5 | 2/5 | 2/5 |
| Audience | developer | developer | general |
Figures from each repo's GitHub metadata at analysis time.
No build setup needed, just open individual Java files in any editor or IDE to read the code.
This repository is a personal collection of Java solutions to competitive programming problems from Codeforces, a popular online platform where programmers solve algorithmic puzzles against the clock. It also includes coursework from a couple of algorithm and optimization classes. The author originally wrote this code around 2012 and 2013, recently found it on an old hard drive, and decided to preserve it online rather than delete it. At its core, the project is essentially a personal code archive. Instead of building a runnable application with an interface, it contains individual Java files that each tackle a specific mathematical or programming challenge. You would look through the code to see how the author approached tricky logic puzzles, implemented data structures, or applied optimization techniques. The README is quite sparse, so it does not go into detail about exactly which algorithms or specific problems are included. The primary audience is people learning or practicing competitive programming and algorithm design. If you are a student taking a data structures course, or a developer preparing for technical coding interviews, browsing these solutions could give you ideas for how to break down complex problems. For example, if you are trying to understand how to optimize a routing problem or sort data efficiently, seeing working examples from a completed Coursera discrete optimization course can be a helpful study aid. What stands out about this project is its nature as a historical snapshot rather than a maintained tool. The code is over a decade old, meaning it reflects Java practices and course materials from that specific era. It is not a framework or an actively updated library, but rather a raw, unpolished look at one developer's learning journey from their early programming days.
A personal archive of Java solutions to Codeforces competitive programming puzzles and university algorithm coursework from 2012-2013. Browse the code to see approaches for solving tricky logic and optimization problems.
Mainly Java. The stack also includes Java.
Dormant — no commits in 2+ years (last push 2020-10-03).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.