A strongly polynomial minimum cost circulation algorithm
Combinatorica
Mathematical Programming: Series A and B
Algorithms in combinatorial geometry
Algorithms in combinatorial geometry
A faster strongly polynomial minimum cost flow algorithm
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Splitting a configuration in a simplex
SIGAL '90 Proceedings of the international symposium on Algorithms
Geometric algorithms for a minimum cost assignment problem
SCG '91 Proceedings of the seventh annual symposium on Computational geometry
Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
Journal of the ACM (JACM)
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We consider the Hitchcock transportation problem on n supply points and k demand points when n is much greater than k. The problem is solved in O(n2k log n + n2 log2 n) time if n k log k. Further, applying a geometric method named splitter finding and randomization, we improve the time complexity for a case in which the ratio c of the least supply and the maximum supply satisfies the inequality log cn n/k4 log n. Indeed, if n k5 log3 k and c = poly(n), the problem is solved in O(kn) time, which is optimal.