Bibliography

[AMPL]R. Fourer, D. M. Gay, and B. W. Kernighan. AMPL: A Modeling Language for Mathematical Programming, 2nd Edition. Duxbury Press, 2002.
[AIMMS]http://www.aimms.com/
[BirgeLouveauxBook]J.R. Birge and F. Louveaux. Introduction to Stochastic Programming. Springer Series in Operations Research. New York. Springer, 1997
[GAMS]http://www.gams.com
[PyomoBookI]William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff. Pyomo – Optimization Modeling in Python, Springer, 2012.
[PyomoBookII]W. E. Hart, C. D. Laird, J.-P. Watson, D. L. Woodruff, G. A. Hackebeil, B. L. Nicholson, J. D. Siirola. Pyomo - Optimization Modeling in Python, 2nd Edition. Springer Optimization and Its Applications, Vol 67. Springer, 2017.
[PyomoJournal]William E. Hart, Jean-Paul Watson, David L. Woodruff. “Pyomo: modeling and solving mathematical programs in Python,” Mathematical Programming Computation, Volume 3, Number 3, August 2011
[PyomoDAE]Bethany Nicholson, 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.
[PySPJournal]Jean-Paul Watson, David L. Woodruff, William E. Hart. “Pyomo: modeling and solving mathematical programs in Python,” Mathematical Programming Computation, Volume 4, Number 2, June 2012, Pages 109-142
[RooneyBiegler]W.C. Rooney, L.T. Biegler, “Design for model parameter uncertainty using nonlinear confidence regions”, AIChE Journal, 47(8), 2001
[SemiBatch]O. Abel, W. Marquardt, “Scenario-integrated modeling and optimization of dynamic systems”, AIChE Journal, 46(4), 2000
[Vielma_et_al]J. P. Vielma, S. Ahmed, G. Nemhauser. “Mixed-Integer Models for Non-separable Piecewise Linear Optimization: Unifying framework and Extensions”, Operations Research 58, 2010. pp. 303-315.