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Matthew D. Stuber
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2020 – today
- 2023
- [j8]Matthew E. Wilhelm, Chenyu Wang, Matthew D. Stuber:
Convex and concave envelopes of artificial neural network activation functions for deterministic global optimization. J. Glob. Optim. 85(3): 569-594 (2023) - [j7]Matthew E. Wilhelm, Matthew D. Stuber:
Improved Convex and Concave Relaxations of Composite Bilinear Forms. J. Optim. Theory Appl. 197(1): 174-204 (2023) - 2022
- [j6]Matthew E. Wilhelm, Matthew D. Stuber:
EAGO.jl: easy advanced global optimization in Julia. Optim. Methods Softw. 37(2): 425-450 (2022) - [i1]Mikhail A. Bragin, Matthew E. Wilhelm, Matthew D. Stuber:
Toward Agile and Robust Supply Chains: A Lesson from Stochastic Job-Shop Scheduling. CoRR abs/2206.09326 (2022) - 2021
- [j5]Shaylin A. Cetegen, Matthew D. Stuber:
Optimal design of controlled environment agricultural systems under market uncertainty. Comput. Chem. Eng. 149: 107285 (2021)
2010 – 2019
- 2019
- [j4]William T. Hale, Matthew Wilhelm, Kyle A. Palmer, Matthew D. Stuber, George M. Bollas:
Semi-infinite programming for global guarantees of robust fault detection and isolation in safety-critical systems. Comput. Chem. Eng. 126: 218-230 (2019) - 2018
- [j3]Kamil A. Khan, Matthew Wilhelm, Matthew D. Stuber, Huiyi Cao, Harry A. J. Watson, Paul I. Barton:
Corrections to: Differentiable McCormick relaxations. J. Glob. Optim. 70(3): 705-706 (2018) - [c1]William T. Hale, Kyle A. Palmer, Matthew D. Stuber, George M. Bollas:
Design of Built-In Tests for Robust Active Fault Detection and Isolation of Discrete Faults in Uncertain Systems. ACC 2018: 4989-4994 - 2015
- [j2]Matthew D. Stuber, Joseph K. Scott, Paul I. Barton:
Convex and concave relaxations of implicit functions. Optim. Methods Softw. 30(3): 424-460 (2015) - 2011
- [j1]Joseph K. Scott, Matthew D. Stuber, Paul I. Barton:
Generalized McCormick relaxations. J. Glob. Optim. 51(4): 569-606 (2011)
Coauthor Index
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