Carl D. Laird

32 papers C 2Misc 1Journal 28Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Simultaneous Approach for Training Neural Differential-Algebraic Systems of Equations.
CoRR
Laurens R. Lueg, Victor Alves, Daniel Schicksnus, John R. Kitchin, Carl D. Laird, Lorenz T. Biegler
2025 J jnl
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees.
CoRR
Daniel Ovalle, Lorenz T. Biegler, Ignacio E. Grossmann, Carl D. Laird, Mateo Dulce Rubio
2025 J jnl
Event Constrained Programming.
CoRR
Daniel Ovalle, Stefan Mazzadi, Carl D. Laird, Ignacio E. Grossmann, Joshua L. Pulsipher
2025 J jnl
Event constrained programming.
Comput. Chem. Eng.
Daniel Ovalle, Stefan Mazzadi, Carl D. Laird, Ignacio E. Grossmann, Joshua L. Pulsipher
2025 J jnl
Hyperplane decision trees as piecewise linear surrogate models for chemical process design.
Comput. Chem. Eng.
Ethan M. Sunshine, Carolina Colombo Tedesco, Sneha A. Akhade, Matthew J. McNenly, John R. Kitchin, Carl D. Laird
2025 J jnl
Multiscale optimization of formic acid dehydrogenation process via linear model decision tree surrogates.
Comput. Chem. Eng.
Ethan M. Sunshine, Giovanna Bucci, Tanusree Chatterjee, Shyam Deo, Victoria M. Ehlinger, Wenqin Li, Thomas Moore, Corey Myers, Wenyu Sun, Bo-Xun Wang, Mengyao Yuan, John R. Kitchin, Carl D. Laird, Matthew J. McNenly, Sneha A. Akhade
2024 J jnl
A mixed integer linear programming approach for the design of chemical process families.
Comput. Chem. Eng.
Georgia Stinchfield, Joshua C. Morgan, Sakshi Naik, Lorenz T. Biegler, John C. Eslick, Clas Jacobson, David C. Miller, John D. Siirola, Miguel A. Zamarripa, Chen Zhang, Qi Zhang, Carl D. Laird
2024 J jnl
Utilizing modern computer architectures to solve mathematical optimization problems: A survey.
Comput. Chem. Eng.
David E. Bernal Neira, Carl D. Laird, Laurens Lueg, Stuart M. Harwood, Dimitar Trenev, Davide Venturelli
2023 J jnl
Chemical process flowsheet optimization with full space, surrogate, and implicit formulations of a Gibbs reactor.
CoRR
Sergio I. Bugosen, Carl D. Laird, Robert B. Parker
2023 J jnl
Linear model decision trees as surrogates in optimization of engineering applications.
Comput. Chem. Eng.
Bashar L. Ammari, Emma S. Johnson, Georgia Stinchfield, Taehun Kim, Michael Bynum, William E. Hart, Joshua Pulsipher, Carl D. Laird
2023 J jnl
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint.
INFORMS J. Comput.
Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany Nicholson, John D. Siirola, Michael Bynum
2022 J jnl
An implicit function formulation for optimization of discretized index-1 differential algebraic systems.
Comput. Chem. Eng.
Robert B. Parker, Bethany Nicholson, John D. Siirola, Carl D. Laird, Lorenz T. Biegler
2022 J jnl
OMLT: Optimization & Machine Learning Toolkit.
CoRR
Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener
2022 J jnl
OMLT: Optimization & Machine Learning Toolkit.
J. Mach. Learn. Res.
Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener
2022 J jnl
Perspectives on the integration between first-principles and data-driven modeling.
Comput. Chem. Eng.
William Bradley, Jinhyeun Kim, Zachary A. Kilwein, Logan Blakely, Michael Eydenberg, Jordan Jalvin, Carl D. Laird, Fani Boukouvala
2021 J jnl
PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets.
Comput. Chem. Eng.
Daniel Casas-Orozco, Daniel J. Laky, Vivian Wang, Mesfin Abdi, Xin Feng, Erin Wood, Carl D. Laird, Gintaras V. Reklaitis, Zoltán K. Nagy
2020 J jnl
Scalable preconditioning of block-structured linear algebra systems using ADMM.
Comput. Chem. Eng.
Jose S. Rodriguez, Carl D. Laird, Victor M. Zavala
2018 J jnl
A multitree approach for global solution of ACOPF problems using piecewise outer approximations.
Comput. Chem. Eng.
Jianfeng Liu, Michael Bynum, Anya Castillo, Jean-Paul Watson, Carl D. Laird
2018 J jnl
Benchmarking ADMM in nonconvex NLPs.
Comput. Chem. Eng.
Jose S. Rodriguez, Bethany Nicholson, Carl D. Laird, Victor M. Zavala
2016 J jnl
An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units.
Comput. Chem. Eng.
Yankai Cao, Arpan Seth, Carl D. Laird
2016 J jnl
Clustering-based preconditioning for stochastic programs.
Comput. Optim. Appl.
Yankai Cao, Carl D. Laird, Victor M. Zavala
2015 — conf
Nonlinear programming strategies on high-performance computers.
CDC
Jia Kang, Naiyuan Chiang, Carl D. Laird, Victor M. Zavala
2014 J jnl
An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition.
Comput. Chem. Eng.
Jia Kang, Yankai Cao, Daniel P. Word, Carl D. Laird
2014 J jnl
Efficient parallel solution of large-scale nonlinear dynamic optimization problems.
Comput. Optim. Appl.
Daniel P. Word, Jia Kang, Johan Åkesson, Carl D. Laird
2013 J jnl
Sensor location for nonlinear dynamic systems via observability analysis and MAX-DET optimization.
Comput. Chem. Eng.
Mitch Serpas, Gabriel Hackebeil, Carl D. Laird, Juergen Hahn
2012 J jnl
A stochastic programming approach for gas detector placement using CFD-based dispersion simulations.
Comput. Chem. Eng.
Sean Legg, A. J. Benavides-Serrano, John D. Siirola, Jean-Paul Watson, S. G. Davis, Are Bratteteig, Carl D. Laird
2012 C conf
Determining transcription factor profiles from fluorescent reporter systems involving regularization of inverse problems.
ACC
Loveleena Bansal, Yunfei Chu, Carl D. Laird, Juergen Hahn
2012 J jnl
Real-time inversion in large-scale water networks using discrete measurements.
Comput. Chem. Eng.
Angelica V. Mann, Sean A. McKenna, William E. Hart, Carl D. Laird
2010 C conf
Estimating seasonal drivers in childhood infectious diseases with continuous time and discrete-time models.
ACC
Daniel P. Word, George Abbott, Derek Cummings, Carl D. Laird
2010 J jnl
Optimal design of cryogenic air separation columns under uncertainty.
Comput. Chem. Eng.
Yu Zhu, Sean Legg, Carl D. Laird
2008 J jnl
An algorithmic framework for convex mixed integer nonlinear programs.
Discret. Optim.
Pierre Bonami, Lorenz T. Biegler, Andrew R. Conn, Gérard Cornuéjols, Ignacio E. Grossmann, Carl D. Laird, Jon Lee, Andrea Lodi, François Margot, Nicolas W. Sawaya, Andreas Wächter
2006 Misc conf
Large-Scale Nonlinear Programming for Multi-scenario Optimization.
HPSC
Carl D. Laird, Lorenz T. Biegler