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)

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)

Scalable Parallel Nonlinear Optimization with PyNumero and Parapint. - Jose S. Rodriguez; Robert B. Parker; Carl D. Laird; Bethany Nicholson; John D. Siirola; Michael Bynum 001 (INFORMS J. Comput., 2023)

Applications of the Dulmage-Mendelsohn decomposition for debugging nonlinear optimization problems. - Robert B. Parker; Bethany Nicholson; John D. Siirola; Lorenz T. Biegler (Comput. Chem. Eng., 2023)

Managing power balance and reserve feasibility in the AC unit commitment problem. - Robert B. Parker; Carleton Coffrin (CoRR, 2024)

Applications of Lifted Nonlinear Cuts to Convex Relaxations of the AC Power Flow Equations. - Sergio I. Bugosen; Robert B. Parker; Carleton Coffrin (CoRR, 2024)

Formulations and scalability of neural network surrogates in nonlinear optimization problems. - Robert B. Parker; Oscar Dowson; Nicole LoGiudice; Manuel Garcia; Russell Bent (CoRR, 2024)

Variable aggregation for nonlinear optimization problems. - Sakshi Naik; Lorenz T. Biegler; Russell Bent; Robert B. Parker (CoRR, 2025)

Multistage Economic MPC for Systems with a Cyclic Steady State: A Gas Network Case Study. - Sakshi Naik; Lavinia Marina Paola Ghilardi; Robert B. Parker; Lorenz T. Biegler (CoRR, 2025)

MathOptAI.jl: Embed trained machine learning predictors into JuMP models. - Oscar Dowson; Robert B. Parker; Russell Bent (CoRR, 2025)