Documentation
Online Documentation
Pyomo Online Documentation is at pyomo.readthedocs.org
Other documentation:
Pyomo Wikipedia Page (html)
Pyomo Workshops & Tutorials
Pyomo Workshop Slides (pdf)
Examples
Citation
If you use Pyomo for your work, please cite the Pyomo book (bibtex) and the Pyomo paper (bibtex).
If you use PySP for your work, please cite the PySP paper (bibtex).
If you use Pyomo.DAE for your work, please cite the Pyomo.DAE paper (bibtex).
The Pyomo Book
Bynum, M.L., Hackebeil, G.A., Hart, W.E., Laird, C.D., Nicholson, B., Siirola, J.D., Watson, J.-P., Woodruff, D.L.. Pyomo – Optimization Modeling in Python. Third Edition. Springer, 2021.
The Third Edition of the book describes capabilities of the Pyomo 6.x series.
Other Publications
Hart, William E., Jean-Paul Watson, and David L. Woodruff. "Pyomo: modeling and solving mathematical programs in Python." Mathematical Programming Computation 3(3) (2011): 219-260.
Watson, Jean-Paul, David L. Woodruff, and William E. Hart. "PySP: modeling and solving stochastic programs in Python." Mathematical Programming Computation 4(2) (2012): 109-149.
Nicholson, Bethany, John D. Siirola, Jean-Paul Watson, Victor M. Zavala, and Lorenz T. Biegler. "pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations." Mathematical Programming Computation 10(2) (2018): 187-223.
Watson, Jean-Paul, and David L. Woodruff. "Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems." Computational Management Science 8(4) (2011): 355-370.
Hart, William E. "Python optimization modeling objects (Pyomo)." In Operations Research and Cyber-Infrastructure, pp. 3-19. Springer, 2009.