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  • Search: subject:"Mathematical program with complementarity constraints"
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Mathematical program with complementarity constraints 6 Mathematical programming 4 Mathematische Optimierung 4 Theorie 3 Theory 3 M-stationarity 2 mathematical program with complementarity constraints 2 Adaptive convexification 1 Algorithm 1 Algorithmus 1 BD-regularity 1 Convergence to global solution 1 Deregulated electricity market 1 Deregulation 1 Deregulierung 1 Electric power industry 1 Electricity price 1 Elektrizitätswirtschaft 1 Epanet 1 Estimation theory 1 Ganzzahlige Optimierung 1 Global optimization algorithm 1 Integer programming 1 Leakage reduction 1 Lifting approach 1 Lower level duality 1 Machine regression 1 Merit function 1 Mixed integer bilevel program 1 Mixed integer nonlinear optimization 1 Mixed integer program 1 Modified augmented Lagrangian methods 1 Mustererkennung 1 Nonconvex constrained optimization 1 Parameter selection 1 Pattern recognition 1 Pressure management 1 Regression analysis 1 Regressionsanalyse 1 Schätztheorie 1
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Article 9
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Article in journal 4 Aufsatz in Zeitschrift 4
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Undetermined 5 English 4
Author
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Guo, Lei 2 Aussel, Didier 1 Dai, Pham 1 Deng, Zhibin 1 Diehl, M. 1 Houska, B. 1 Izmailov, A. 1 LIN, GUI-HUA 1 LIU, YONGCHAO 1 Lee, Yu-Ching 1 Li, Chuanjia 1 Li, Pu 1 Luo, H. 1 Marechal, Matthieu 1 Mitchell, John E. 1 Pang, Jong-Shi 1 Pogosyan, A. 1 Solodov, M. 1 Stein, O. 1 Steuermann, P. 1 Sun, X. 1 Wu, H. 1 Xu, Y. 1 Červinka, Michal 1
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Computational Optimization and Applications 2 Asia-Pacific Journal of Operational Research (APJOR) 1 EURO journal on computational optimization 1 Journal of Global Optimization 1 Mathematics of operations research 1 Operations research letters 1 RAIRO / Operations research 1 Water Resources Management 1
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RePEc 5 ECONIS (ZBW) 4
Showing 1 - 9 of 9
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A new augmented lagrangian method for MPCCs-theoretical and numerical comparison with existing augmented Lagrangian methods
Guo, Lei; Deng, Zhibin - In: Mathematics of operations research 47 (2022) 2, pp. 1229-1246
Persistent link: https://www.econbiz.de/10013365285
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A single-level reformulation of mixed integer bilevel programming problems
Li, Chuanjia; Guo, Lei - In: Operations research letters 45 (2017) 1, pp. 1-5
Persistent link: https://www.econbiz.de/10011687042
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Deregulated electricity markets with thermal losses and production bounds : models and optimality conditions
Aussel, Didier; Červinka, Michal; Marechal, Matthieu - In: RAIRO / Operations research 50 (2016) 1, pp. 19-38
Persistent link: https://www.econbiz.de/10011641347
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Global resolution of the support vector machine regression parameters selection problem with LPCC
Lee, Yu-Ching; Pang, Jong-Shi; Mitchell, John E. - In: EURO journal on computational optimization 3 (2015) 3, pp. 197-261
Persistent link: https://www.econbiz.de/10011379670
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Optimal Localization of Pressure Reducing Valves in Water Distribution Systems by a Reformulation Approach
Dai, Pham; Li, Pu - In: Water Resources Management 28 (2014) 10, pp. 3057-3074
, instead of directly solving the MINLP problem, we reformulate it to a mathematical program with complementarity constraints …
Persistent link: https://www.econbiz.de/10010794291
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A lifting method for generalized semi-infinite programs based on lower level Wolfe duality
Diehl, M.; Houska, B.; Stein, O.; Steuermann, P. - In: Computational Optimization and Applications 54 (2013) 1, pp. 189-210
This paper introduces novel numerical solution strategies for generalized semi-infinite optimization problems (GSIP), a class of mathematical optimization problems which occur naturally in the context of design centering problems, robust optimization problems, and many fields of engineering...
Persistent link: https://www.econbiz.de/10010896529
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Semismooth Newton method for the lifted reformulation of mathematical programs with complementarity constraints
Izmailov, A.; Pogosyan, A.; Solodov, M. - In: Computational Optimization and Applications 51 (2012) 1, pp. 199-221
Persistent link: https://www.econbiz.de/10010998333
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CONVERGENCE ANALYSIS OF A REGULARIZED SAMPLE AVERAGE APPROXIMATION METHOD FOR STOCHASTIC MATHEMATICAL PROGRAMS WITH COMPLEMENTARITY CONSTRAINTS
LIU, YONGCHAO; LIN, GUI-HUA - In: Asia-Pacific Journal of Operational Research (APJOR) 28 (2011) 06, pp. 755-771
Regularization method proposed by Scholtes (2011) has been a recognized approach for deterministic mathematical programs with complementarity constraints (MPCC). Meng and Xu (2006) applied the approach coupled with Monte Carlo techniques to solve a class of one stage stochastic MPCC and...
Persistent link: https://www.econbiz.de/10009395540
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On the convergence properties of modified augmented Lagrangian methods for mathematical programming with complementarity constraints
Luo, H.; Sun, X.; Xu, Y.; Wu, H. - In: Journal of Global Optimization 46 (2010) 2, pp. 217-232
Persistent link: https://www.econbiz.de/10008591050
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