53 citations · 61 across the 4 of their papers we have counts for
4 papers
OMLT: Optimization & Machine Learning Toolkit
Francesco Ceccon, Jordan Jalving, Joshua Haddad +4
The optimization and machine learning toolkit (OMLT) is an open-source software package incorporating neural network and gradient-boosted tree surrogate models, which have been tra…
Exploring Benefits of Linear Solver Parallelism on Modern Nonlinear Optimization Applications
Byron Tasseff, Carleton Coffrin, Andreas Wächter +1
The advent of efficient interior point optimization methods has enabled the tractable solution of large-scale linear and nonlinear programming (NLP) problems. A prominent example o…
Scalable Preconditioning of Block-Structured Linear Algebra Systems using ADMM
Jose S. Rodriguez, Carl D. Laird, Victor M. Zavala
We study the solution of block-structured linear algebra systems arising in optimization by using iterative solution techniques. These systems are the core computational bottleneck…
Global Solution Strategies for the Network-Constrained Unit Commitment Problem with AC Transmission Constraints
Jianfeng Liu, Anya Castillo, Jean-Paul Watson +1
We propose a novel global solution algorithm for the network-constrained unit commitment problem incorporating a nonlinear alternating current model of the transmission network, wh…