Carl D. Laird

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 15

Top Topics

Chemical Process

Optimization Problems

Nonlinear Programming

Graphics Processing Units

Top Venues

Comput. Chem. Eng.

Comput. Optim. Appl.

Publications

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
A mixed integer linear programming approach for the design of chemical process families. Comput. Chem. Eng. 183 (2024)
David E. Bernal Neira, Carl D. Laird, Laurens Lueg, Stuart M. Harwood, Dimitar Trenev, Davide Venturelli
Utilizing modern computer architectures to solve mathematical optimization problems: A survey. Comput. Chem. Eng. 184 (2024)
Sergio Bugosen, Carl D. Laird, Robert Parker
Chemical process flowsheet optimization with full space, surrogate, and implicit formulations of a Gibbs reactor. CoRR (2023)
Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany Nicholson, John D. Siirola, Michael Bynum
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint. INFORMS J. Comput. 35 (2) (2023)
Bashar L. Ammari, Emma S. Johnson, Georgia Stinchfield, Taehun Kim, Michael Bynum, William E. Hart, Joshua Pulsipher, Carl D. Laird
Linear model decision trees as surrogates in optimization of engineering applications. Comput. Chem. Eng. 178 (2023)
Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener
OMLT: Optimization & Machine Learning Toolkit. CoRR (2022)
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 (2022)
Robert Parker, Bethany Nicholson, John D. Siirola, Carl D. Laird, Lorenz T. Biegler
An implicit function formulation for optimization of discretized index-1 differential algebraic systems. Comput. Chem. Eng. 168 (2022)
William Bradley, Jinhyeun Kim, Zachary Kilwein, Logan Blakely, Michael Eydenberg, Jordan Jalvin, Carl D. Laird, Fani Boukouvala
Perspectives on the integration between first-principles and data-driven modeling. Comput. Chem. Eng. 166 (2022)
Daniel Casas-Orozco, Daniel Laky, Vivian Wang, Mesfin Abdi, Xin Feng, Erin Wood, Carl D. Laird, Gintaras V. Reklaitis, Zoltan K. Nagy
PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets. Comput. Chem. Eng. 153 (2021)
Jose S. Rodriguez, Carl D. Laird, Victor M. Zavala
Scalable preconditioning of block-structured linear algebra systems using ADMM. Comput. Chem. Eng. 133 (2020)
Jose S. Rodriguez, Bethany Nicholson, Carl D. Laird, Victor M. Zavala
Benchmarking ADMM in nonconvex NLPs. Comput. Chem. Eng. 119 (2018)
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 (2018)
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 (2016)
Yankai Cao, Carl D. Laird, Victor M. Zavala
Clustering-based preconditioning for stochastic programs. Comput. Optim. Appl. 64 (2) (2016)
Jia Kang, Naiyuan Chiang, Carl D. Laird, Victor M. Zavala
Nonlinear programming strategies on high-performance computers. CDC (2015)
Jia Kang, Yankai Cao, Daniel P. Word, Carl D. Laird
An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition. Comput. Chem. Eng. 71 (2014)
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) (2014)
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 (2013)
Loveleena Bansal, Yunfei Chu, Carl D. Laird, Juergen Hahn
Determining transcription factor profiles from fluorescent reporter systems involving regularization of inverse problems. ACC (2012)
Sean Legg, A. J. Benavides-Serrano, John D. Siirola, Jean-Paul Watson, S. G. Davis, A. Bratteteig, Carl D. Laird
A stochastic programming approach for gas detector placement using CFD-based dispersion simulations. Comput. Chem. Eng. 47 (2012)
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 (2012)
Yu Zhu, Sean Legg, Carl D. Laird
Optimal design of cryogenic air separation columns under uncertainty. Comput. Chem. Eng. 34 (9) (2010)
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)
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
An algorithmic framework for convex mixed integer nonlinear programs. Discret. Optim. 5 (2) (2008)
Carl D. Laird, Lorenz T. Biegler
Large-Scale Nonlinear Programming for Multi-scenario Optimization. HPSC (2006)