Category: 2018 Publications

Biegler, L. T., & Thierry, D. M. (2018). Large-scale optimization formulations and strategies for nonlinear model predictive control. IFAC-Papers OnLine, 51(20), 1–15.

Rodriguez, J.S., Nicholson, B., Laird, C.D., & Zavala, V.M. (2018). Benchmarking ADMM in nonconvex NLPs. Computers & Chemical Engineering, 119, 315-325.

Sauk, B., Ploskas, N., & Sahinidis, N. (2018). GPU parameter tuning for tall and skinny dense linear least squares problems. Optimization Methods and Software, 35(3), 638-660.

Lara, C.L., Mallapragada, D., Papageorgiou D., Venkatesh, A., & Grossmann, I. E. (2018). Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm. European Journal of Operational Research, 271(3), 1037-1054.

Nicholson, B.L., & Siirola, J. D. (2018). A framework for modeling and optimizing dynamic systems under uncertainty. Computers & Chemical Engineering, 114, 81-88.

Chen, Q., & Grossmann, I.E. (2018). Effective GDP optimization models for modular process synthesis. Current Opinion in Chemical Engineering.

Nicholson, B.L., Siirola, J. D., Watson, J.-P., Zavala, V. M., & Biegler, L.T. (2018). Pyomo.dae: A modeling and automatic discretization framework for optimization with differential and algebraic equations. Math Programming Computation, 10, 187-223.

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