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https://dx.doi.org/10.4230/dag...
Article . 2009
License: CC BY
Data sources: Datacite
DBLP
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Data sources: DBLP
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The Transport PDE and Mixed-Integer Linear Programming

Authors: Fügenschuh, Armin; Geißler, Björn; Martin, Alexander; Morsi, Antonio;

The Transport PDE and Mixed-Integer Linear Programming

Abstract

Discrete, nonlinear and PDE constrained optimization are mostly considered as different fields of mathematical research. Nevertheless many real-life problems are most naturally modeled as PDE constrained mixed integer nonlinear programs. For example, nonlinear network flow problems where the flow dynamics are governed by a transport equation are of this type. We present four different applications together with the derivation of the associated transport equations and we show how to model these problems in terms of mixed integer linear constraints.

Country
Germany
Keywords

Mixed-Integer Linear Programming, Partial Differential Equation, 000, Modeling, Transport Equation, Nonlinear Constraints, 510, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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