Carl D. Laird

According to our database, Carl D. Laird authored at least 25 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A mixed integer linear programming approach for the design of chemical process families.

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

Comput. Chem. Eng., 2024

Utilizing modern computer architectures to solve mathematical optimization problems: A survey.

David E. Bernal Neira, Carl D. Laird, Laurens Lueg, Stuart M. Harwood, Dimitar Trenev, Davide Venturelli

Comput. Chem. Eng., 2024

2023

Linear model decision trees as surrogates in optimization of engineering applications.

Bashar L. Ammari, Emma S. Johnson, Georgia Stinchfield, Taehun Kim, Michael Bynum, William E. Hart, Joshua Pulsipher, Carl D. Laird

Comput. Chem. Eng., October, 2023

Scalable Parallel Nonlinear Optimization with PyNumero and Parapint.

Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany Nicholson, John D. Siirola, Michael Bynum

INFORMS J. Comput., 2023

Chemical process flowsheet optimization with full space, surrogate, and implicit formulations of a Gibbs reactor.

Sergio I. Bugosen, Carl D. Laird, Robert B. Parker

CoRR, 2023

2022

OMLT: Optimization & Machine Learning Toolkit.

Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener

J. Mach. Learn. Res., 2022

An implicit function formulation for optimization of discretized index-1 differential algebraic systems.

Robert B. Parker, Bethany Nicholson, John D. Siirola, Carl D. Laird, Lorenz T. Biegler

Comput. Chem. Eng., 2022

Perspectives on the integration between first-principles and data-driven modeling.

William Bradley, Jinhyeun Kim, Zachary A. Kilwein, Logan Blakely, Michael Eydenberg, Jordan Jalvin, Carl D. Laird, Fani Boukouvala

Comput. Chem. Eng., 2022

2021

PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets.

Daniel Casas-Orozco, Daniel J. Laky, Vivian Wang, Mesfin Abdi, Xin Feng, Erin Wood, Carl D. Laird, Gintaras V. Reklaitis, Zoltán K. Nagy

Comput. Chem. Eng., 2021

2020

Scalable preconditioning of block-structured linear algebra systems using ADMM.

Jose S. Rodriguez, Carl D. Laird, Victor M. Zavala

Comput. Chem. Eng., 2020

2018

Benchmarking ADMM in nonconvex NLPs.

Jose S. Rodriguez, Bethany Nicholson, Carl D. Laird, Victor M. Zavala

Comput. Chem. Eng., 2018

A multitree approach for global solution of ACOPF problems using piecewise outer approximations.

Jianfeng Liu, Michael Bynum, Anya Castillo, Jean-Paul Watson, Carl D. Laird

Comput. Chem. Eng., 2018

2016

Clustering-based preconditioning for stochastic programs.

Yankai Cao, Carl D. Laird, Victor M. Zavala

Comput. Optim. Appl., 2016

An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units.

Yankai Cao, Arpan Seth, Carl D. Laird

Comput. Chem. Eng., 2016

2015

Nonlinear programming strategies on high-performance computers.

Jia Kang, Naiyuan Chiang, Carl D. Laird, Victor M. Zavala

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Efficient parallel solution of large-scale nonlinear dynamic optimization problems.

Daniel P. Word, Jia Kang, Johan Åkesson, Carl D. Laird

Comput. Optim. Appl., 2014

An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition.

Jia Kang, Yankai Cao, Daniel P. Word, Carl D. Laird

Comput. Chem. Eng., 2014

2013

Sensor location for nonlinear dynamic systems via observability analysis and MAX-DET optimization.

Mitch Serpas, Gabriel Hackebeil, Carl D. Laird, Juergen Hahn

Comput. Chem. Eng., 2013

2012

Real-time inversion in large-scale water networks using discrete measurements.

Angelica V. Mann, Sean A. McKenna, William E. Hart, Carl D. Laird

Comput. Chem. Eng., 2012

A stochastic programming approach for gas detector placement using CFD-based dispersion simulations.

Sean Legg, A. J. Benavides-Serrano, John D. Siirola, Jean-Paul Watson, S. G. Davis, Are Bratteteig, Carl D. Laird

Comput. Chem. Eng., 2012

Determining transcription factor profiles from fluorescent reporter systems involving regularization of inverse problems.

Loveleena Bansal, Yunfei Chu, Carl D. Laird, Juergen Hahn

Proceedings of the American Control Conference, 2012

2010

Optimal design of cryogenic air separation columns under uncertainty.

Yu Zhu, Sean Legg, Carl D. Laird

Comput. Chem. Eng., 2010

Estimating seasonal drivers in childhood infectious diseases with continuous time and discrete-time models.

Daniel P. Word, George Abbott, Derek Cummings, Carl D. Laird

Proceedings of the American Control Conference, 2010

2008

An algorithmic framework for convex mixed integer nonlinear programs.

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

Discret. Optim., 2008

2006

Large-Scale Nonlinear Programming for Multi-scenario Optimization.

Carl D. Laird, Lorenz T. Biegler

Proceedings of the Modeling, 2006