Andrew C. Eberhard

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 18

Top Topics

Lagrangian Dual

Integer Programming

Optimization Problems

Top Venues

J. Optim. Theory Appl.

J. Glob. Optim.

Publications

Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR (2024)
Lien Thuy Nguyen, Andrew C. Eberhard, Xinghuo Yu, Chaojie Li
Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems. SIAM J. Optim. 34 (3) (2024)
Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Fabricio Oliveira
A study of progressive hedging for stochastic integer programming. Comput. Optim. Appl. 86 (3) (2023)
Lien Thuy Nguyen, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li
Fixed-Time Gradient Dynamics With Time-Varying Coefficients for Continuous-Time Optimization. IEEE Trans. Autom. Control. 68 (7) (2023)
Linzhe Cai, Chen Liu, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard
Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow. ADC (2023)
Thai Doan Chuong, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li, Chen Liu
Convergences for robust bilevel polynomial programmes with applications. Optim. Methods Softw. 38 (5) (2023)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
Adaptive solution prediction for combinatorial optimization. Eur. J. Oper. Res. 309 (3) (2023)
Shuai Liu, Andrew C. Eberhard, Yousong Luo
A Version of Bundle Trust Region Method with Linear Programming. J. Optim. Theory Appl. 199 (2) (2023)
Tiago Andrade, Nikita Belyak, Andrew C. Eberhard, Silvio Hamacher, Fabricio Oliveira
The p-Lagrangian relaxation for separable nonconvex MIQCQP problems. J. Glob. Optim. 84 (1) (2022)
Linzhe Cai, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard, Lien Thuy Nguyen, Thai Doan Chuong
Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning. AI (2022)
Fabricio Oliveira, Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard
Combining penalty-based and Gauss-Seidel methods for solving stochastic mixed-integer problems. Int. Trans. Oper. Res. 27 (1) (2020)
Andrew C. Eberhard, Yousong Luo, Shuai Liu
On partial smoothness, tilt stability and the VU -decomposition. Math. Program. 175 (1-2) (2019)
Natashia Boland, Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Fabricio Oliveira
A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems. Math. Program. 175 (1-2) (2019)
Tiago Andrade, Fabricio Oliveira, Silvio Hamacher, Andrew C. Eberhard
Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming. J. Glob. Optim. 73 (4) (2019)
Masar Al-Rabeeah, Santosh Kumar, Ali Al-Hasani, Elias Munapo, Andrew C. Eberhard
Bi-objective integer programming analysis based on the characteristic equation. Int. J. Syst. Assur. Eng. Manag. 10 (5) (2019)
Nigel M. Clay, Babak Abbasi, Andrew C. Eberhard, John Hearne
On the volatility of blood inventories. Int. Trans. Oper. Res. 25 (1) (2018)
Natashia Boland, Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Jeff T. Linderoth, James R. Luedtke, Fabricio Oliveira
Combining Progressive Hedging with a Frank-Wolfe Method to Compute Lagrangian Dual Bounds in Stochastic Mixed-Integer Programming. SIAM J. Optim. 28 (2) (2018)
Jean-Pierre Crouzeix, Andrew C. Eberhard, Daniel Ralph
(Convex) Level Sets Integration. J. Optim. Theory Appl. 171 (3) (2016)
Natashia Boland, Andrew C. Eberhard, Angelos Tsoukalas
A Trust Region Method for the Solution of the Surrogate Dual in Integer Programming. J. Optim. Theory Appl. 167 (2) (2015)
Natashia L. Boland, Andrew C. Eberhard
On the augmented Lagrangian dual for integer programming. Math. Program. 150 (2) (2015)
Natashia L. Boland, Andrew C. Eberhard, Faramroze G. Engineer, Matteo Fischetti, Martin W. P. Savelsbergh, Angelos Tsoukalas
Boosting the feasibility pump. Math. Program. Comput. 6 (3) (2014)
Didier Aussel, Andrew C. Eberhard
Maximal quasimonotonicity and dense single-directional properties of quasimonotone operators. Math. Program. 139 (1-2) (2013)
Natashia L. Boland, Andrew C. Eberhard, Faramroze G. Engineer, Angelos Tsoukalas
A New Approach to the Feasibility Pump in Mixed Integer Programming. SIAM J. Optim. 22 (3) (2012)
Jean-Pierre Crouzeix, Andrew C. Eberhard, Daniel Ralph
A geometrical insight on pseudoconvexity and pseudomonotonicity. Math. Program. 123 (1) (2010)
Andrew C. Eberhard, Robert Bruno Wenczel
Some Sufficient Optimality Conditions in Nonsmooth Analysis. SIAM J. Optim. 20 (1) (2009)
Yanqun Liu, Andrew C. Eberhard, Kok Lay Teo
A Numerical Method for a Class of Mixed Switching and Impulsive Optimal Control Problems. Comput. Math. Appl. 52 (5) (2006)
Robin D. Hill, Andrew C. Eberhard, Robert Bruno Wenczel, Mark E. Halpern
Fundamental limitations on the time-domain shaping of response to a fixed input. IEEE Trans. Autom. Control. 47 (7) (2002)
Robert Bruno Wenczel, Andrew C. Eberhard, Robin D. Hill
Comments on "Controller design with multiple objectives". IEEE Trans. Autom. Control. 45 (11) (2000)