A strongly polynomial algorithm to solve combinatorial linear programs
Operations Research
A new approach to the maximum-flow problem
Journal of the ACM (JACM)
Note on Weintraub's minimum-cost circulation algorithm
SIAM Journal on Computing
Finding minimum-cost circulations by canceling negative cycles
Journal of the ACM (JACM)
Two strongly polynomial cut cancelling algorithms for minimum cost network flow
Discrete Applied Mathematics
Polynomial Methods for Separable Convex Optimization in Unimodular Linear Spaces with Applications
SIAM Journal on Computing
Beyond the flow decomposition barrier
Journal of the ACM (JACM)
A polynomial combinatorial algorithm for generalized minimum cost flow
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Applying Parallel Computation Algorithms in the Design of Serial Algorithms
Journal of the ACM (JACM)
Relaxed Most Negative Cycle and Most Positive Cut Canceling Algorithms for Minimum Cost Flow
Mathematics of Operations Research
The Complexity of Generic Primal Algorithms for Solving General Integer Programs
Mathematics of Operations Research
The MA-ordering max-flow algorithm is not strongly polynomial for directed networks
Operations Research Letters
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This paper shows that the minimum ratio canceling algorithm of Wallacher (Unpublished manuscript, Institut fur Angewandte Mathematik, Technische Universitat, Braunschweig (1989)) (and a faster relaxed version) can be generalized to an algorithm for general linear programs with geometric convergence. This implies that when we have a negative cycle oracle, this algorithm will compute an optimal solution in (weakly) polynomial time. We then specialize the algorithm to linear programming on unimodular linear spaces, and to the minimum cost flow and (dual) tension problems. We construct instances proving that even in the network special cases the algorithm is not strongly polynomial.