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Carl D. Laird
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2020 – today
- 2025
- [j21]Ethan M. Sunshine
, Giovanna Bucci
Multiscale optimization of formic acid dehydrogenation process via linear model decision tree surrogates. Comput. Chem. Eng. 194: 108921 (2025) - [i3]Daniel Ovalle, Stefan Mazzadi, Carl D. Laird, Ignacio E. Grossmann, Joshua L. Pulsipher:
Event Constrained Programming. CoRR abs/2501.06353 (2025) - 2024
- [j20]Georgia Stinchfield
A mixed integer linear programming approach for the design of chemical process families. Comput. Chem. Eng. 183: 108620 (2024) - [j19]David E. Bernal Neira, Carl D. Laird, Laurens Lueg
Utilizing modern computer architectures to solve mathematical optimization problems: A survey. Comput. Chem. Eng. 184: 108627 (2024) - 2023
- [j18]Bashar L. Ammari, Emma S. Johnson, Georgia Stinchfield
Linear model decision trees as surrogates in optimization of engineering applications. Comput. Chem. Eng. 178: 108347 (2023) - [j17]Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany Nicholson
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint. INFORMS J. Comput. 35(2): 509-517 (2023) - [i2]Sergio I. Bugosen, Carl D. Laird, Robert B. Parker:
Chemical process flowsheet optimization with full space, surrogate, and implicit formulations of a Gibbs reactor. CoRR abs/2310.09307 (2023) - 2022
- [j16]William Bradley
Perspectives on the integration between first-principles and data-driven modeling. Comput. Chem. Eng. 166: 107898 (2022) - [j15]Robert B. Parker
An implicit function formulation for optimization of discretized index-1 differential algebraic systems. Comput. Chem. Eng. 168: 108042 (2022) - [j14]Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener:
OMLT: Optimization & Machine Learning Toolkit. J. Mach. Learn. Res. 23: 349:1-349:8 (2022) - [i1]Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener:
OMLT: Optimization & Machine Learning Toolkit. CoRR abs/2202.02414 (2022) - 2021
- [j13]Daniel Casas-Orozco
PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets. Comput. Chem. Eng. 153: 107408 (2021) - 2020
- [j12]Jose S. Rodriguez, Carl D. Laird, Victor M. Zavala:
Scalable preconditioning of block-structured linear algebra systems using ADMM. Comput. Chem. Eng. 133 (2020)
2010 – 2019
- 2018
- [j11]Jianfeng Liu, Michael Bynum, Anya Castillo, Jean-Paul Watson, Carl D. Laird:
A multitree approach for global solution of ACOPF problems using piecewise outer approximations. Comput. Chem. Eng. 114: 145-157 (2018) - [j10]Jose S. Rodriguez, Bethany Nicholson
Benchmarking ADMM in nonconvex NLPs. Comput. Chem. Eng. 119: 315-325 (2018) - 2016
- [j9]Yankai Cao, Arpan Seth, Carl D. Laird:
An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units. Comput. Chem. Eng. 85: 76-83 (2016) - [j8]Yankai Cao, Carl D. Laird, Victor M. Zavala:
Clustering-based preconditioning for stochastic programs. Comput. Optim. Appl. 64(2): 379-406 (2016) - 2015
- [c4]Jia Kang, Naiyuan Chiang
Nonlinear programming strategies on high-performance computers. CDC 2015: 4612-4620 - 2014
- [j7]Jia Kang, Yankai Cao
An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition. Comput. Chem. Eng. 71: 563-573 (2014) - [j6]Daniel P. Word, Jia Kang, Johan Åkesson, Carl D. Laird:
Efficient parallel solution of large-scale nonlinear dynamic optimization problems. Comput. Optim. Appl. 59(3): 667-688 (2014) - 2013
- [j5]Mitch Serpas, Gabriel Hackebeil, Carl D. Laird, Juergen Hahn
Sensor location for nonlinear dynamic systems via observability analysis and MAX-DET optimization. Comput. Chem. Eng. 48: 105-112 (2013) - 2012
- [j4]Angelica V. Mann, Sean A. McKenna, William E. Hart, Carl D. Laird:
Real-time inversion in large-scale water networks using discrete measurements. Comput. Chem. Eng. 37: 143-151 (2012) - [j3]Sean Legg, A. J. Benavides-Serrano, John D. Siirola, Jean-Paul Watson, S. G. Davis, Are Bratteteig, Carl D. Laird:
A stochastic programming approach for gas detector placement using CFD-based dispersion simulations. Comput. Chem. Eng. 47: 194-201 (2012) - [c3]Loveleena Bansal, Yunfei Chu, Carl D. Laird, Juergen Hahn:
Determining transcription factor profiles from fluorescent reporter systems involving regularization of inverse problems. ACC 2012: 2725-2730 - 2010
- [j2]Yu Zhu, Sean Legg, Carl D. Laird:
Optimal design of cryogenic air separation columns under uncertainty. Comput. Chem. Eng. 34(9): 1377-1384 (2010) - [c2]Daniel P. Word, George Abbott, Derek Cummings, Carl D. Laird:
Estimating seasonal drivers in childhood infectious diseases with continuous time and discrete-time models. ACC 2010: 5137-5142
2000 – 2009
- 2008
- [j1]Pierre Bonami, Lorenz T. Biegler
An algorithmic framework for convex mixed integer nonlinear programs. Discret. Optim. 5(2): 186-204 (2008) - 2006
- [c1]Carl D. Laird, Lorenz T. Biegler
Large-Scale Nonlinear Programming for Multi-scenario Optimization. HPSC 2006: 323-336
Coauthor Index
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