--------------Name-------------------------------
Testing Unconditional Binomiality in Reversible Chemical Reaction Networks using a Linear Algebra and Graph Theoretical approaches


--------------Description of the project---------
The project contains two maple modules:
binomialrcrn.mpl: checks unconditional binomiality using a linear algebra approach

binomialrcrn-graph.mpl: checks unconditional binomiality using a graph theoretical approach


--------------Project URL-----------------------
https://github.com/crisvm30/TestBinomialityRCRN



--------------Authors---------------------------
Cristian Vargas Montero and Hamid Rahkooy
 
 
--------------License---------------------------
The MIT License (MIT)

Copyright (c) 2021 Cristian Vargas Montero and Hamid Rahkooy

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.


--------------Contact & support-----------------
Cristian Vargas Montero - crisvm31@gmail.com
Hamid Rahkooy - hrahkooy@mpi-inf.mpg.de


--------------Build environment-----------------
Maple 2020


--------------How to run the code---------------

Load the desired module in Maple and call the specific function.
To call the linear algebra approach use the function:
To call the graph theoretical approach use the function: binomialViaGraph
The input of the functions is a Reversible Chemical Reaction Network in the following format: a list of lists where each sub list represents a reaction. For example, the network: 2A->B,C->D will have the next representation:[["2A","B"],["C","D"]].
You can check an example in the files:test-binomrcrn.mw and test-binomrcrn-graph.mw present in the repository.