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zbMATH Open
Article . 1979
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Mathematics of Operations Research
Article . 1979 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2017
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Computing Economic Equilibria on Affine Networks with Lemke's Algorithm

Computing economic equilibria on affine networks with Lemke's algorithm
Authors: Richard Asmuth; B. Curtis Eaves; Elmor L. Peterson;

Computing Economic Equilibria on Affine Networks with Lemke's Algorithm

Abstract

Consider a multicommodity transhipment problem where the prices at each location are an affine function of the supplies and demands at that location and the shipping costs are an affine function of the quantities shipped. A system of prices, supplies, demands, and shipments is defined to be an equilibrium, if there is a balance in the shipments, supplies, and demands of goods at each location, if local prices do not exceed the cost of importing, and if shipments are price efficient. Lemke’s algorithm is used to compute an equilibrium.

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Keywords

multicommodity transhipment problem, Applications of mathematical programming, Mathematical economics, logistics, Lemke's algorithm, supply and demand of goods, Inventory, storage, reservoirs, equilibrium computation, resource distribution

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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!
47
Average
Top 1%
Average
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