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  • Search: subject:"Linear and Nonlinear Programming"
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Subject
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Entropy Optimization Principles 2 Linear and Nonlinear Programming 2 Min-Max Problem 2 Freight transport 1 Güterverkehr 1 Mathematical programming 1 Mathematische Optimierung 1 Progress 1 Rail freight transport 1 Railway transport 1 Schienengüterverkehr 1 Schienenverkehr 1 Tourenplanung 1 Traffic congestion 1 Vehicle routing problem 1 Verkehrsstau 1 business cycle 1 capacity restraint functions 1 dynamic input-output models 1 freight train routing 1 linear and nonlinear programming 1 mixed-integer linear and nonlinear programming 1 multicommodity flows 1
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Undetermined 4
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Article 4
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Article in journal 1 Aufsatz in Zeitschrift 1
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Undetermined 3 English 1
Author
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Fang, Shu-Cherng 2 Li, Xing-Si 2 Borndörfer, Ralf 1 Fügenschuh, Armin 1 Klug, Torsten 1 Ryaboshlyk, Volodymyr 1 Schang, Thilo 1 Schlechte, Thomas 1 Schülldorf, Hanno 1
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Computational Statistics 1 Economic Systems Research 1 Mathematical Methods of Operations Research 1 Transportation science : a journal of the Institute for Operations Research and the Management Sciences 1
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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The freight train routing problem for congested railway networks with mixed traffic
Borndörfer, Ralf; Klug, Torsten; Schlechte, Thomas; … - In: Transportation science : a journal of the Institute for … 50 (2016) 2, pp. 408-423
Persistent link: https://www.econbiz.de/10011490960
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A dynamic input-output model with explicit new and old technologies: an application to the UK
Ryaboshlyk, Volodymyr - In: Economic Systems Research 18 (2006) 2, pp. 183-203
Progress is traditionally measured by the improvement of an economy's average characteristics from year to year. Some deeper insight might be gained by splitting the averages into explicit parameters for the new and old technologies at work within the same year, and recognising that innovative...
Persistent link: https://www.econbiz.de/10005451721
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On the entropic regularization method for solving min-max problems with applications
Li, Xing-Si; Fang, Shu-Cherng - In: Mathematical Methods of Operations Research 46 (1997) 1, pp. 119-130
Consider a min-max problem in the form of min<Subscript> xεX </Subscript>max<Subscript>1≤i≤m </Subscript>{f <Subscript> i </Subscript>(x)}. It is well-known that the non-differentiability of the max functionF(x) ≡ max<Subscript>1≤i≤m </Subscript>{f <Subscript> i </Subscript>(x)} presents difficulty in finding an optimal solution. An entropic regularization procedure provides a smooth...</subscript></subscript></subscript></subscript></subscript>
Persistent link: https://www.econbiz.de/10010999852
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On the entropic regularization method for solving min-max problems with applications
Li, Xing-Si; Fang, Shu-Cherng - In: Computational Statistics 46 (1997) 1, pp. 119-130
Consider a min-max problem in the form of min xεX max 1≤i≤m {f i (x)}. It is well-known that the non-differentiability of the max functionF(x) ≡ max 1≤i≤m {f i (x)} presents difficulty in finding an optimal solution. An entropic regularization procedure provides a smooth...
Persistent link: https://www.econbiz.de/10010759440
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