Comments on "Controller design with multiple objectives". - Robert Bruno Wenczel; Andrew C. Eberhard; Robin D. Hill (IEEE Trans. Autom. Control., 2000)

Fundamental limitations on the time-domain shaping of response to a fixed input. - Robin D. Hill; Andrew C. Eberhard; Robert Bruno Wenczel; Mark E. Halpern (IEEE Trans. Autom. Control., 2002)

Control System for Optimal Flight Trajectories for Terrain Collision Avoidance. - Tapan Sharma; Cees Bil; Andrew C. Eberhard (KES (2), 2005)

A Numerical Method for a Class of Mixed Switching and Impulsive Optimal Control Problems. - Yanqun Liu; Andrew C. Eberhard; Kok Lay Teo (Comput. Math. Appl., 2006)

Some Sufficient Optimality Conditions in Nonsmooth Analysis. - Andrew C. Eberhard; Robert Bruno Wenczel (SIAM J. Optim., 2009)

A geometrical insight on pseudoconvexity and pseudomonotonicity. - Jean-Pierre Crouzeix; Andrew C. Eberhard; Daniel Ralph (Math. Program., 2010)

A New Approach to the Feasibility Pump in Mixed Integer Programming. - Natashia L. Boland; Andrew C. Eberhard; Faramroze G. Engineer; Angelos Tsoukalas (SIAM J. Optim., 2012)

Maximal quasimonotonicity and dense single-directional properties of quasimonotone operators. - Didier Aussel; Andrew C. Eberhard (Math. Program., 2013)

Engaging a class of 2200 digital natives a blended approach. - Andrew C. Eberhard; Khushbu Tilvawala; Gabrielle Peko; David Sundaram (RCIS, 2014)

Boosting the feasibility pump. - Natashia L. Boland; Andrew C. Eberhard; Faramroze G. Engineer; Matteo Fischetti; Martin W. P. Savelsbergh; Angelos Tsoukalas (Math. Program. Comput., 2014)

A Trust Region Method for the Solution of the Surrogate Dual in Integer Programming. - Natashia Boland; Andrew C. Eberhard; Angelos Tsoukalas (J. Optim. Theory Appl., 2015)

On the augmented Lagrangian dual for integer programming. - Natashia L. Boland; Andrew C. Eberhard (Math. Program., 2015)

(Convex) Level Sets Integration. - Jean-Pierre Crouzeix; Andrew C. Eberhard; Daniel Ralph (J. Optim. Theory Appl., 2016)

On the volatility of blood inventories. - Nigel M. Clay; Babak Abbasi; Andrew C. Eberhard; John Hearne (Int. Trans. Oper. Res., 2018)

Combining Progressive Hedging with a Frank-Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming. - Natashia Boland; Jeffrey Christiansen; Brian C. Dandurand; Andrew C. Eberhard; Jeff T. Linderoth; James R. Luedtke; Fabricio Oliveira (SIAM J. Optim., 2018)

Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming. - Tiago Andrade; Fabricio Oliveira; Silvio Hamacher; Andrew C. Eberhard (J. Glob. Optim., 2019)

A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems. - Natashia Boland; Jeffrey Christiansen; Brian C. Dandurand; Andrew C. Eberhard; Fabricio Oliveira (Math. Program., 2019)

On partial smoothness, tilt stability and the VU -decomposition. - Andrew C. Eberhard; Yousong Luo; Shuai Liu 004 (Math. Program., 2019)

Bi-objective integer programming analysis based on the characteristic equation. - Masar Al-Rabeeah; Santosh Kumar; Ali Al-Hasani; Elias Munapo; Andrew C. Eberhard (Int. J. Syst. Assur. Eng. Manag., 2019)

Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems. - Fabricio Oliveira; Jeffrey Christiansen; Brian C. Dandurand; Andrew C. Eberhard (Int. Trans. Oper. Res., 2020)

Explicit Formula for Preimages of Relaxed One-Sided Lipschitz Mappings with Negative Lipschitz Constants: A Geometric Approach. - Andrew C. Eberhard; Boris S. Mordukhovich; Janosch Rieger (J. Optim. Theory Appl., 2020)

Learning Primal Heuristics for Mixed Integer Programs. - Yunzhuang Shen; Yuan Sun 003; Andrew C. Eberhard; Xiaodong Li 001 (IJCNN, 2021)

Convergence rates for boundedly regular systems. - Ernö Robert Csetnek; Andrew C. Eberhard; Matthew K. Tam (Adv. Comput. Math., 2021)

Performance comparison of feature selection and extraction methods with random instance selection. - Milad Malekipirbazari; Vural Aksakalli; Waleed Shafqat; Andrew C. Eberhard (Expert Syst. Appl., 2021)

Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. - Yunzhuang Shen; Yuan Sun 003; Xiaodong Li 001; Andrew C. Eberhard; Andreas T. Ernst (AAAI, 2022)

Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning. - Linzhe Cai; Xinghuo Yu 001; Chaojie Li; Andrew C. Eberhard; Lien Thuy Nguyen; Thai Doan Chuong (AI, 2022)

The p-Lagrangian relaxation for separable nonconvex MIQCQP problems. - Tiago Andrade; Nikita Belyak; Andrew C. Eberhard; Silvio Hamacher; Fabricio Oliveira (J. Glob. Optim., 2022)

Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow. - Linzhe Cai; Chen Liu 022; Xinghuo Yu 001; Chaojie Li; Andrew C. Eberhard (ADC, 2023)

Adaptive solution prediction for combinatorial optimization. - Yunzhuang Shen; Yuan Sun 003; Xiaodong Li 001; Andrew C. Eberhard; Andreas T. Ernst (Eur. J. Oper. Res., 2023)

Fixed-Time Gradient Dynamics With Time-Varying Coefficients for Continuous-Time Optimization. - Lien Thuy Nguyen; Xinghuo Yu 001; Andrew C. Eberhard; Chaojie Li (IEEE Trans. Autom. Control., 2023)

Convergences for robust bilevel polynomial programmes with applications. - Thai Doan Chuong; Xinghuo Yu 001; Andrew C. Eberhard; Chaojie Li; Chen Liu 022 (Optim. Methods Softw., 2023)

A Version of Bundle Trust Region Method with Linear Programming. - Shuai Liu 004; Andrew C. Eberhard; Yousong Luo (J. Optim. Theory Appl., 2023)

A study of progressive hedging for stochastic integer programming. - Jeffrey Christiansen; Brian C. Dandurand; Andrew C. Eberhard; Fabricio Oliveira (Comput. Optim. Appl., 2023)

Adaptive Stabilization Based on Machine Learning for Column Generation. - Yunzhuang Shen; Yuan Sun 003; Xiaodong Li 001; Zhiguang Cao; Andrew C. Eberhard; Guangquan Zhang 001 (ICML, 2024)

Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems. - Lien Thuy Nguyen; Andrew C. Eberhard; Xinghuo Yu 001; Chaojie Li (SIAM J. Optim., 2024)

Solving Two-stage Quadratic Multiobjective Problems via Optimality and Relaxations. - Thai Doan Chuong; Xinghuo Yu 001; Chen Liu 022; Andrew C. Eberhard; Chaojie Li (J. Optim. Theory Appl., 2024)

Finite-Time Nonconvex Optimization Using Time-Varying Dynamical Systems. - Lien Thuy Nguyen; Andrew C. Eberhard; Xinghuo Yu 001; Alexander Y. Kruger; Chaojie Li (J. Optim. Theory Appl., 2024)

Hierarchy relaxations for robust equilibrium constrained polynomial problems and applications to electric vehicle charging scheduling. - Thai Doan Chuong; Xinghuo Yu 001; Andrew C. Eberhard; Chaojie Li; Chen Liu 022 (J. Glob. Optim., 2024)

Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions. - Tan Nhat Pham; Minh N. Dao; Andrew C. Eberhard; Nargiz Sultanova (J. Optim. Theory Appl., 2024)