This repo stores Python Notebooks containing tutorials and demonstrations that we will see in class during the 2020 Spring version of ESE 605: Modern Convex Optimization. Much, but not all, of the material here is adapted from the CVXPY tutorials and examples.
To get started, you will want to make sure that you have a working distribution of the latest Python 3 version (currently version 3.7) running, as well as Jupyter Notebooks. For new users, the simplest and easiest way to get going is to install Anaconda. Once Anaconda is installed, please follow the CVXPY installation instructions to complete your setup.
For those of you who prefer to work in Matlab, please refer to CVX, and in particular the Documentation and Examples pages for comparable material.
For those of you who prefer to work in Julia, please refer to Convex.jl, and in particular the Tutorial and extensive examples (listed in the left hand menu) for comparable material.