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arXiv:2611.14045 · v1

Mixed-integer dual network problems are solvable in strongly polynomial time

首次提交 2026-11-10 21:13
版本更新 2026-11-10 21:13
雷达观测 2026-11-11 11:04
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摘要

In this paper we show that mixed-integer linear programming is solvable in strongly polynomial time if the constraint matrix is totally unimodular with at most two nonzero entries in every row. This is done by reducing the problem to an instance of minimization of an LL-convex function.

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v1 · 2026-11-10 21:13 · 最新观测版本

Mixed-integer dual network problems are solvable in strongly polynomial time

In this paper we show that mixed-integer linear programming is solvable in strongly polynomial time if the constraint matrix is totally unimodular with at most two nonzero entries in every row. This is done by reducing the problem to an instance of minimization of an LL-convex function.

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