https://github.com/arnoudvanderleer/strong-approximation-sage

Accompanying sage code for the thesis "Strong Approximation for a Family of Quadratic Surfaces"

https://github.com/arnoudvanderleer/strong-approximation-sage

Science Score: 13.0%

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Repository

Accompanying sage code for the thesis "Strong Approximation for a Family of Quadratic Surfaces"

Basic Info
  • Host: GitHub
  • Owner: arnoudvanderleer
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 29.3 KB
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Created over 3 years ago · Last pushed over 3 years ago
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Readme

README.md

Accompanying Sage Code for My Master's Thesis

This repository contains sage versions for the algorithms contained in the Master's Thesis "Strong Approximation for a Family of Quadratic Surfaces".

Layout of the repository

First of all, the repository contains sage code in files called Lemma x.y.ipynb and Theorem x.y.ipynb. Furthermore, reusable library versions of these are contained in the file algorithms.ipynb (to use it, first convert it to a python file using the script compile.sh). Lastly, there is some common library code in the files common.ipynb and algorithm_states.ipynb.

Running the code

To run the code, you will at least need a local install of sagemath. I believe this will also install jupyter.

The following instructions have been tested on Ubuntu 20.04.

Then, you will need to compile the pieces of sage code that are used as a library in the other sage scripts. To that end, execute

./compile.sh common.ipynb ./compile.sh algorithm_states.ipynb ./compile.sh algorithms.ipynb

Then, start a jupyter notebook environment using

sage -n jupyter

This will bring up a new tab in your browser with the jupyter environment, in which you can now execute the various notebooks.

Owner

  • Name: Arnoud van der Leer
  • Login: arnoudvanderleer
  • Kind: user

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