Resources#

This section collects tutorials and example models to help you get started with CVXlab. Each tutorial walks you through the steps described in the User Guide for a specific use-case.

Tutorial directories (with supplementary modeling materials such as Jupyter Notebooks, Excel concept files, input-data files and SQLite databases) can be downloaded from the table below, so that you can run them locally on your machine.

Tutorials#

Tutorial	Description	Material
Production planning	Complete workflow for defining and solving a simple production planning under resource constraints. Step by step guide aligned with User Guide. [Ideal for newbies].	`link`
Handling non-linearities	Non-linear production planning under resource constraints. Similar to the previous production planning tutorial, but handling non-linearities explicitly.	`link`
Problem decomposition	Reformulating and decomposing the previous non-linear production planning problem into coupled convex sub-problems solved iteratively (block Gauss–Seidel).	`link`
Sequential problems solution	Sequential solution of the original production planning problem, by first calibrating the model and deriving parameters, then solving the production planning problem with calibrated parameters.	`link`

Models gallery#

A collection of published models built with CVXlab, including links to data repositories where models and input data can be found.

Model	Description	Repository
Parametric LCA model of floating offshore wind farm (Ghezzi D, Rocco MV \| 2025)	Parametric life-cycle assessment of electricity generation from semi-submersible floating offshore wind farms. Covers 192 configurations defined by turbine capacity, platform and mooring material, end-of-life treatment, capacity factor, cable type, and steel origin.	Dataset Related article

Publications#

A collection of published articles that use CVXlab for modeling and solving optimization problems.

Parametric life cycle assessment of carbon footprint of electricity generation from floating offshore wind farms (Ghezzi D, Rocco MV | Sustainable Energy Technology and Assessments | 2025) | Article link

How to cite CVXlab#

If you use CVXlab in your academic work, please cite the software using the following references.

APA

Rocco, M. V. (2026). CVXlab (Version 1.1.0) [Software]. Zenodo.
https://doi.org/10.5281/zenodo.20644006

BibTeX

@software{rocco_cvxlab_2026,
  author    = {Rocco, Matteo V.},
  title     = {{CVXlab}},
  version   = {1.1.0},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.20644006},
  url       = {https://doi.org/10.5281/zenodo.20644006}
}

The Zenodo record for CVXlab is available at https://doi.org/10.5281/zenodo.20644006.