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ORCIDAndrew C. Eberhard
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2020 – today
- 2024
[j31]Thai Doan Chuong
, Xinghuo Yu, Andrew C. Eberhard, Chaojie Li, Chen Liu:
Hierarchy relaxations for robust equilibrium constrained polynomial problems and applications to electric vehicle charging scheduling. J. Glob. Optim. 90(3): 781-811 (2024)- [j30]Thai Doan Chuong, Xinghuo Yu, Chen Liu, Andrew C. Eberhard, Chaojie Li:
Solving Two-stage Quadratic Multiobjective Problems via Optimality and Relaxations. J. Optim. Theory Appl. 203(1): 676-713 (2024) - [j29]Lien Thuy Nguyen, Andrew C. Eberhard, Xinghuo Yu, Alexander Y. Kruger, Chaojie Li:
Finite-Time Nonconvex Optimization Using Time-Varying Dynamical Systems. J. Optim. Theory Appl. 203(1): 844-879 (2024) - [j28]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): 2557-2587 (2024) - [c7]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. ICML 2024 - [i3]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR abs/2405.11198 (2024) - 2023
- [j27]Jeffrey Christiansen, Brian C. Dandurand, Andrew C. Eberhard, Fabricio Oliveira:
A study of progressive hedging for stochastic integer programming. Comput. Optim. Appl. 86(3): 989-1034 (2023) - [j26]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Adaptive solution prediction for combinatorial optimization. Eur. J. Oper. Res. 309(3): 1392-1408 (2023) - [j25]Shuai Liu, Andrew C. Eberhard, Yousong Luo:
A Version of Bundle Trust Region Method with Linear Programming. J. Optim. Theory Appl. 199(2): 639-662 (2023) - [j24]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): 975-1008 (2023) - [j23]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): 4383-4390 (2023) - [c6]Linzhe Cai, Chen Liu, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard:
Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow. ADC 2023: 183-196 - 2022
- [j22]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): 43-76 (2022) - [c5]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. AAAI 2022: 9926-9934 - [c4]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: 131-144 - 2021
- [j21]Ernö Robert Csetnek, Andrew C. Eberhard, Matthew K. Tam:
Convergence rates for boundedly regular systems. Adv. Comput. Math. 47(5): 62 (2021) - [j20]Milad Malekipirbazari, Vural Aksakalli, Waleed Shafqat, Andrew C. Eberhard:
Performance comparison of feature selection and extraction methods with random instance selection. Expert Syst. Appl. 179: 115072 (2021) - [c3]Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. IJCNN 2021: 1-8 - [i2]Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. CoRR abs/2107.00866 (2021) - [i1]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. CoRR abs/2112.04906 (2021) - 2020
- [j19]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): 494-524 (2020) - [j18]Andrew C. Eberhard, Boris S. Mordukhovich, Janosch Rieger:
Explicit Formula for Preimages of Relaxed One-Sided Lipschitz Mappings with Negative Lipschitz Constants: A Geometric Approach. J. Optim. Theory Appl. 185(1): 34-43 (2020)
2010 – 2019
- 2019
- [j17]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): 701-722 (2019) - [j16]Andrew C. Eberhard, Yousong Luo, Shuai Liu:
On partial smoothness, tilt stability and the VU -decomposition. Math. Program. 175(1-2): 155-196 (2019) - [j15]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): 503-536 (2019) - [j14]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): 937-944 (2019) - 2018
- [j13]Nigel M. Clay, Babak Abbasi, Andrew C. Eberhard, John Hearne:
On the volatility of blood inventories. Int. Trans. Oper. Res. 25(1): 215-242 (2018) - [j12]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): 1312-1336 (2018) - 2016
- [j11]Jean-Pierre Crouzeix, Andrew C. Eberhard, Daniel Ralph:
(Convex) Level Sets Integration. J. Optim. Theory Appl. 171(3): 865-886 (2016) - 2015
- [j10]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): 558-584 (2015) - [j9]Natashia L. Boland, Andrew C. Eberhard:
On the augmented Lagrangian dual for integer programming. Math. Program. 150(2): 491-509 (2015) - 2014
- [j8]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): 255-279 (2014) - [c2]Andrew C. Eberhard, Khushbu Tilvawala, Gabrielle Peko, David Sundaram:
Engaging a class of 2200 digital natives a blended approach. RCIS 2014: 1-7 - 2013
- [j7]Didier Aussel, Andrew C. Eberhard:
Maximal quasimonotonicity and dense single-directional properties of quasimonotone operators. Math. Program. 139(1-2): 27-54 (2013) - 2012
- [j6]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): 831-861 (2012) - 2010
- [j5]Jean-Pierre Crouzeix, Andrew C. Eberhard, Daniel Ralph:
A geometrical insight on pseudoconvexity and pseudomonotonicity. Math. Program. 123(1): 61-83 (2010)
2000 – 2009
- 2009
- [j4]Andrew C. Eberhard, Robert Bruno Wenczel:
Some Sufficient Optimality Conditions in Nonsmooth Analysis. SIAM J. Optim. 20(1): 251-296 (2009) - 2006
- [j3]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): 625-636 (2006) - 2005
- [c1]Tapan Sharma, Cees Bil, Andrew C. Eberhard:
Control System for Optimal Flight Trajectories for Terrain Collision Avoidance. KES (2) 2005: 622-627 - 2002
- [j2]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): 1078-1090 (2002) - 2000
- [j1]Robert Bruno Wenczel, Andrew C. Eberhard, Robin D. Hill:
Comments on "Controller design with multiple objectives". IEEE Trans. Autom. Control. 45(11): 2197-2198 (2000)
Coauthor Index
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last updated on 2024-11-08 20:28 CET by the dblp team
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