Introduction tutorial

#artificialintelligence 

Before starting this tutorial we suggest you to read documentation#getstarted which will provide an example of data communication between your client code and Indie Solver. You should have a registered account to communicate with the solver. If you are a student or a researcher, don't forget to contact us at contact@indiesolver.com after registering your account to upgrade it to the standard subscription plan which is free for academic researchers. It will allow you to deal with more challenging optimization problems. The source code of this tutorial is available for download and includes two Python files: Rosenbrock10D.py and IndieSolver.py. The former is specific to this tutorial while the latter is our thin wrapper code to communicate with Indie Solver.