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  • Search: subject:"Convex nonlinear programming"
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Subject
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Convex nonlinear programming 2 descent method 2 gravitational method 2 interior points 2 Benders cut calculation 1 Benders decomposition 1 Computational geometry 1 Cutting stock problem 1 Decomposition method 1 Dekompositionsverfahren 1 Demand 1 Design problem 1 Electric power industry 1 Elektrizitätswirtschaft 1 Global optimization 1 Mathematical programming 1 Mathematische Optimierung 1 Mixed integer programming 1 Nachfrage 1 Nichtlineare Optimierung 1 Non-convex nonlinear programming 1 Non-overlap constraints 1 Nonlinear programming 1 Packing problem 1 Polylithic solution approach 1 Shape constraints 1 Texas power system 1 Theorie 1 Theory 1 convex nonlinear programming 1 power generation planning 1 short-term demand response 1
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Undetermined 4
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Article 4
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 3 English 1
Author
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Eiselt, H. A. 2 Rebennack, Steffen 2 Sandblom, C.-L. 2 Kallrath, Josef 1 Lohmann, Timo 1
Published in...
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Computational Statistics 1 Journal of Global Optimization 1 Management science : journal of the Institute for Operations Research and the Management Sciences 1 Mathematical Methods of Operations Research 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Tailored benders decomposition for a long-term power expansion model with short-term demand response
Lohmann, Timo; Rebennack, Steffen - In: Management science : journal of the Institute for … 63 (2017) 6, pp. 2027-2048
Persistent link: https://www.econbiz.de/10011707394
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Cutting ellipses from area-minimizing rectangles
Kallrath, Josef; Rebennack, Steffen - In: Journal of Global Optimization 59 (2014) 2, pp. 405-437
cutting problem. The key idea in the developed non-convex nonlinear programming models is to use separating hyperlines to …
Persistent link: https://www.econbiz.de/10010994186
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The bounce algorithm for mathematical programming
Eiselt, H. A.; Sandblom, C.-L. - In: Computational Statistics 52 (2000) 2, pp. 173-183
This paper describes a constrained optimization method that was inspired by the physical equivalent of a small ball that, propelled only by gravity, is dropped from an initial point inside a full-dimensional body, represented by the set of feasible solutions. The ball will eventually hit one of...
Persistent link: https://www.econbiz.de/10010847612
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The bounce algorithm for mathematical programming
Eiselt, H. A.; Sandblom, C.-L. - In: Mathematical Methods of Operations Research 52 (2000) 2, pp. 173-183
This paper describes a constrained optimization method that was inspired by the physical equivalent of a small ball that, propelled only by gravity, is dropped from an initial point inside a full-dimensional body, represented by the set of feasible solutions. The ball will eventually hit one of...
Persistent link: https://www.econbiz.de/10010950039
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