HTTPS clone URL
Subversion checkout URL
The repository for my project for Experimental Verification of the Lonely Runner Conjecture
C++ C Python Java
Fetching latest commit...
Cannot retrieve the latest commit at this time.
|Failed to load latest commit information.|
Table of Content: Overview The Objective of the Project The Lonely Runner Conjecture Repository Content ==== Overview: ==== This repository contains both the Source Code and report for my "Experimental Verification of the Lonely Runner Conjecture" project that I did as a part of my Master in Copenhagen University in the interval of September - November 2010. ==== The Objective of the Project: ==== The objective of the project was to create a practical tool that should be able to verify whether or not a given set of pairwise distinct Integers (commonly reffered to as Runner Speeds) would violate the Lonely Runner conjecture (see next section). I have in this project tested all combinations with 20 Runners (i.e. 20 integers) with a max runner speed of 39. ==== The Lonely Runner Conjecture: ==== Imagine n runners at a circular, unit length track (i.e. the track has a circumference of 1), where every runner runs with constant, pairwise different speeds, there will then exist a time t where all runners will be at least 1/(n + 1) units away from their common start-point. The Lonely Runner Conjecture has only been proved for up to n = 6. ==== Repository Content: ==== Source Code: My Lonely Runner Conjecture verfier ended up being written in C++, and can be found in the src/C++ directory. There you will also find a README file listing the source codes dependencies. The Source code is released under the GPLv3 Report: The report I made to document my work was written in Latex and can be found in the report directoy. It should contain everything that is needed to compile it. Data: You can find the machine-readable data I used for the report in src/data/ in the JSON file format. Tables/Graphs: You can find the tables/graphs I used in my report in the report/data/(tables/graphs) directories. If you re-run my tests yourself, and you want to update my tables/graphs, please run the formatData.py script found in the src/ directory, which will format the data for you.