Issue |
RAIRO-Oper. Res.
Volume 40, Number 1, January-March 2006
|
|
---|---|---|
Page(s) | 1 - 17 | |
DOI | https://doi.org/10.1051/ro:2006011 | |
Published online | 01 July 2006 |
Numerical solutions of the mass transfer problem
1
Département de mathématiques et de statistique,
Université de Montréal, C.P. 6128, Succ. Centre-Ville, Montréal,
H3C 3J7, Canada; dubucs@dms.umontreal.ca
2
Department of Mathematics, Columbia Union
College, 7600 Flower Avenue, Takoma Park, MD, 20912, USA; ikagabo@cuc.edu
Received:
10
December
2003
Accepted:
7
November
2005
Let μ and ν be two probability measures on the real line and let c be a lower semicontinuous function on the plane. The mass transfer problem consists in determining a measure ξ whose marginals coincide with μ and ν, and whose total cost ∫∫ c(x,y)dξ(x,y) is minimum. In this paper we present three algorithms to solve numerically this Monge-Kantorovitch problem when the commodity being shipped is one-dimensional and not necessarily confined to a bounded interval. We illustrate these numerical methods and determine the convergence rate.
Key words: Continuous programming / transportation / mass transfer / optimization.
© EDP Sciences, 2006
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