Python implementation of algorithms presented in the paper with DOI 10.1063/1.4942799
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README.md
main.py
mixer.py

README.md

Algorithms for concatenating templates

Python implementation of algorithms presented in the paper: DOI 10.1063/1.4942799. In this paper we present two algorithms for concatenating two branched manifolds described by a linking matrix. We also present algorithms we use to transform one mathematical description of a branched manifold $A$ using a matrix and an array ($TM(A)$ and $Ar(A)$) to another using a matrix ($T(A)$), and inversely.

How to use it?

Create an environment with dependencies

# Create a virtualenv
virtualenv -p python3 .concatenation_venv

# Activate it
source .concatenation_venv/bin/activate

# Install the dependencies
pip install numpy

# After the use of the program, deactivate the virtualenv
deactivate

Run the application

python main.py