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Approximations for Maximum Transportation Problem with Permutable Supply Vector and Other Capacitated Star Packing Problems

Esther M. ArkinContact Information, Refael HassinContact Information, Shlomi RubinsteinContact Information and Maxim SviridenkoContact Information

(6)  Department of Applied Mathematics and Statistics, SUNY Stony Brook, Stony Brook, NY, 11794-3600
(7)  Department of Statistics and Operations Research, Tel-Aviv University, Tel-Aviv, 69978, Israel
(8)  IBM T. J. Watson Research Center, Yorktown Heights, P.O. Box 218, NY 10598, USA
Abstract
The input to the transportation problem consists of a complete weighted bipartite graph G = (V 1,V 2,w), integer supplies a i ≥ 0, iV 1, and integer demands b j ≥ 0, jV 2, where w.l.o.g. $$
\sum\nolimits_{i \in V_1 } {a_i }  = \sum\nolimits_{j \in V_2 } {b_j } 
$$ . The problem is to compute flows x ij iV 1, jV 2 such that $$
\sum\nolimits_j {x_{ij}  = a_i } 
$$ for every iV 1, $$
\sum\nolimits_j {x_{ij}  = b_j } 
$$ for every jV 2, and $$
\sum\nolimits_E {w_{ij} x_{ij} } 
$$ is maximized (or minimized). The transportation problem is polynomially solvable even when the flows are required to be integers.
Partially supported by NSF (CCR0098172).

Contact Information Esther M. Arkin
Email: estie@ams.sunysb.edu

Contact Information Refael Hassin
Email: hassin@post.tau.ac.il

Contact Information Shlomi Rubinstein
Email: shlomiru@post.tau.ac.il

Contact Information Maxim Sviridenko
Email: sviri@us.ibm.com
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