| Pyomo-optimization modeling in python WE Hart, CD Laird, JP Watson, DL Woodruff, GA Hackebeil, BL Nicholson, ... Springer 67, 277, 2017 | 1186 | 2017 |
| Pyomo-optimization modeling in python ML Bynum, GA Hackebeil, WE Hart, CD Laird, BL Nicholson, JD Siirola, ... Springer, 2021 | 144 | 2021 |
| pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations B Nicholson, JD Siirola, JP Watson, VM Zavala, LT Biegler Mathematical Programming Computation 10, 187-223, 2018 | 66 | 2018 |
| On-line state estimation of nonlinear dynamic systems with gross errors B Nicholson, R Lopez-Negrete, LT Biegler Computers & chemical engineering 70, 149-159, 2014 | 57 | 2014 |
| Next generation multi-scale process systems engineering framework DC Miller, JD Siirola, D Agarwal, AP Burgard, A Lee, JC Eslick, ... Computer Aided Chemical Engineering 44, 2209-2214, 2018 | 33 | 2018 |
| Benchmarking ADMM in nonconvex NLPs JS Rodriguez, B Nicholson, C Laird, VM Zavala Computers & Chemical Engineering 119, 315-325, 2018 | 26 | 2018 |
| Scripting custom workflows ML Bynum, GA Hackebeil, WE Hart, CD Laird, BL Nicholson, JD Siirola, ... Pyomo—Optimization Modeling in Python, 67-81, 2021 | 23 | 2021 |
| Parallel cyclic reduction decomposition for dynamic optimization problems W Wan, JP Eason, B Nicholson, LT Biegler Computers & Chemical Engineering 120, 54-69, 2019 | 17 | 2019 |
| Sensor placement optimization using Chama KA Klise, BL Nicholson, CD Laird Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 12 | 2017 |
| Parmest: Parameter Estimation Via Pyomo KA Klise, BL Nicholson, A Staid, DL Woodruff Computer Aided Chemical Engineering 47, 41-46, 2019 | 6 | 2019 |
| Scalable Parallel Nonlinear Optimization with PyNumero and Parapint JS Rodriguez, R Parker, CD Laird, B Nicholson, JD Siirola, M Bynum Optimization Online, 2021 | 5 | 2021 |
| Sensor placement optimization software applied to site-scale methane-emissions monitoring KA Klise, BL Nicholson, CD Laird, AP Ravikumar, AR Brandt Journal of Environmental Engineering 146 (7), 04020054, 2020 | 5 | 2020 |
| Pyomo–optimization Modeling in python, vol. 67 WE Hartand, CD Laird, J Watson, DL Woodruff, GA Hackebei, ... Springer Science & Business Media, 2017 | 5 | 2017 |
| A General Framework for Sensitivity-Based Optimal Control and State Estimation D Thierry, B Nicholson, L Biegler Computer Aided Chemical Engineering 44, 787-792, 2018 | 4 | 2018 |
| Parallel Numerical Algorithms for Structured Problems with PyNumero and Pyomo. CD Laird, BL Nicholson, JS Rodriguez Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | 3 | 2019 |
| Applications, Modeling Tools, and Parallel Solution Algorithms for Dynamic Optimization B Nicholson Carnegie Mellon University, 2016 | 3 | 2016 |
| Pyomo--optimization modeling in python DL Woodruff, JP Watson, JD Siirola, BL Nicholson, CD Laird, WE Hart, ... Springer, 2021 | 2 | 2021 |
| A framework for modeling and optimizing dynamic systems under uncertainty B Nicholson, J Siirola Computers & Chemical Engineering 114, 81-88, 2018 | 2 | 2018 |
| Parallel cyclic reduction strategies for linear systems that arise in dynamic optimization problems BL Nicholson, W Wan, S Kameswaran, LT Biegler Computational Optimization and Applications 70, 321-350, 2018 | 2 | 2018 |
| Uncovering new opportunities from frequency regulation markets with dynamic optimization and Pyomo. DAE AW Dowling, BL Nicholson Computer Aided Chemical Engineering 44, 2509-2514, 2018 | 2 | 2018 |
Jean-Paul WatsonLawrence Livermore National Laboratory, Livermore, California, USAVerified email at llnl.gov
