Andrew C. Eberhard

According to our database, Andrew C. Eberhard authored at least 39 papers between 2000 and 2024.

Collaborative distances:

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

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., November, 2024

Hierarchy relaxations for robust equilibrium constrained polynomial problems and applications to electric vehicle charging scheduling.

Thai Doan Chuong, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li, Chen Liu

J. Glob. Optim., November, 2024

Finite-Time Nonconvex Optimization Using Time-Varying Dynamical Systems.

Lien Thuy Nguyen, Andrew C. Eberhard, Xinghuo Yu, Alexander Y. Kruger, Chaojie Li

J. Optim. Theory Appl., October, 2024

Solving Two-stage Quadratic Multiobjective Problems via Optimality and Relaxations.

Thai Doan Chuong, Xinghuo Yu, Chen Liu, Andrew C. Eberhard, Chaojie Li

J. Optim. Theory Appl., October, 2024

Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems.

Lien Thuy Nguyen, Andrew C. Eberhard, Xinghuo Yu, Chaojie Li

SIAM J. Optim., 2024

Adaptive Stabilization Based on Machine Learning for Column Generation.

Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A study of progressive hedging for stochastic integer programming.

Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Fabricio Oliveira

Comput. Optim. Appl., December, 2023

A Version of Bundle Trust Region Method with Linear Programming.

Shuai Liu, Andrew C. Eberhard, Yousong Luo

J. Optim. Theory Appl., November, 2023

Convergences for robust bilevel polynomial programmes with applications.

Thai Doan Chuong, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li, Chen Liu

Optim. Methods Softw., September, 2023

Fixed-Time Gradient Dynamics With Time-Varying Coefficients for Continuous-Time Optimization.

Lien Thuy Nguyen, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li

IEEE Trans. Autom. Control., July, 2023

Adaptive solution prediction for combinatorial optimization.

Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst

Eur. J. Oper. Res., 2023

Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow.

Linzhe Cai, Chen Liu, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard

Proceedings of the Databases Theory and Applications, 2023

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

Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning.

Linzhe Cai, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard, Lien Thuy Nguyen, Thai Doan Chuong

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring.

Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Convergence rates for boundedly regular systems.

Ernö Robert Csetnek, Andrew C. Eberhard, Matthew K. Tam

Adv. Comput. Math., 2021

Learning Primal Heuristics for Mixed Integer Programs.

Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li

Proceedings of the International Joint Conference on Neural Networks, 2021

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

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

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

On partial smoothness, tilt stability and the VU -decomposition.

Andrew C. Eberhard, Yousong Luo, Shuai Liu

Math. Program., 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

Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming.

Tiago Andrade, Fabricio Oliveira, Silvio Hamacher, Andrew C. Eberhard

J. Glob. Optim., 2019

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

On the volatility of blood inventories.

Nigel M. Clay, Babak Abbasi, Andrew C. Eberhard, John Hearne

Int. Trans. Oper. Res., 2018

2016

(Convex) Level Sets Integration.

Jean-Pierre Crouzeix, Andrew C. Eberhard, Daniel Ralph

J. Optim. Theory Appl., 2016

2015

On the augmented Lagrangian dual for integer programming.

Natashia L. Boland, Andrew C. Eberhard

Math. Program., 2015

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

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

Engaging a class of 2200 digital natives a blended approach.

Andrew C. Eberhard, Khushbu Tilvawala, Gabrielle Peko, David Sundaram

Proceedings of the IEEE 8th International Conference on Research Challenges in Information Science, 2014

2013

Maximal quasimonotonicity and dense single-directional properties of quasimonotone operators.

Didier Aussel, Andrew C. Eberhard

Math. Program., 2013

2012

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

2010

A geometrical insight on pseudoconvexity and pseudomonotonicity.

Jean-Pierre Crouzeix, Andrew C. Eberhard, Daniel Ralph

Math. Program., 2010

2009

Some Sufficient Optimality Conditions in Nonsmooth Analysis.

Andrew C. Eberhard, Robert Bruno Wenczel

SIAM J. Optim., 2009

2006

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

2005

Control System for Optimal Flight Trajectories for Terrain Collision Avoidance.

Tapan Sharma, Cees Bil, Andrew C. Eberhard

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2002

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

2000

Comments on "Controller design with multiple objectives".

Robert Bruno Wenczel, Andrew C. Eberhard, Robin D. Hill

IEEE Trans. Autom. Control., 2000