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Approximations for Maximum Transportation Problem with Permutable Supply Vector and Other Capacitated Star Packing Problems
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Approximations for Maximum Transportation Problem with Permutable Supply Vector and Other Capacitated Star Packing Problems
Esther M. Arkin6 , Refael Hassin7 , Shlomi Rubinstein7 and Maxim Sviridenko8 
| (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, i ∈ V
1, and integer demands
b
j ≥ 0, j ∈ V
2, where w.l.o.g.

. The problem is to compute flows
x
ij
i ∈ V
1, j ∈ V
2 such that

for every i ∈ V
1,

for every j ∈ V
2, and

is maximized (or minimized). The transportation problem is polynomially solvable even when the flows are required to be integers.
Partially supported by NSF (CCR0098172).
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