A polynomial algorithm for b-matchings: an alternative approach
Information Processing Letters
A faster strongly polynomial minimum cost flow algorithm
Operations Research
Discrete Optimization
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We consider the 1-median problem in R^d with the Chebyshev norm: given n points with non-negative weights, find a point that minimizes the sum of the weighted distances to the given points. We propose a combinatorial algorithm for this problem by reformulating it as a fractional b-matching problem. This graph-theoretical problem can be solved by a min-cost-flow algorithm. Moreover, we show that there is a 1-median, which is half-integral, provided that the points have integral coordinates.