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Min CSP on Four Elements: Moving beyond Submodularity

机译:关于四个要素的最低CSP:超越亚模量

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We report new results on the complexity of the valued constraint satisfaction problem (VCSP). Under the unique games conjecture, the approximability of finite-valued VCSP is fairly well-understood. However, there is yet no characterisation of VCSPs that can be solved exactly in polynomial time. This is unsatisfactory, since such results are interesting from a combinatorial optimisation perspective; there are deep connections with, for instance, submodular and bisubmodular minimisation. We consider the Min and Max CSP problems (i.e. where the cost functions only attain values in {0,1}) over four-element domains and identify all tractable fragments. Similar classifications were previously known for two- and three-element domains. In the process, we introduce a new class of tractable VCSPs based on a generalisation of submodularity. We also extend and modify a graph-based technique by Kolmogorov and Zivny (originally introduced by Takhanov) for efficiently obtaining hardness results in our setting. This allow us to prove the result without relying on computer-assisted case analyses (which is fairly common when studying VCSPs). The hardness results are further simplified by the introduction of powerful reduction techniques.
机译:我们报告有关值约束满足问题(VCSP)的复杂性的新结果。在独特的游戏猜想下,对有限值VCSP的逼近性是相当了解的。但是,尚无可以在多项式时间内精确求解的VCSP的特性。这是不令人满意的,因为从组合优化的角度来看,这样的结果很有趣。与亚模和双亚模最小化之间存在着深远的联系。我们考虑了四元素域的最小和最大CSP问题(即成本函数仅达到{0,1}中的值),并确定了所有易处理的碎片。以前对于两元素域和三元素域已知类似的分类。在此过程中,我们基于子模量的泛化介绍了一类新的易处理VCSP。我们还扩展和修改了Kolmogorov和Zivny(最初由Takhanov引入)的基于图形的技术,以在我们的设置中有效地获得硬度结果。这使我们无需依靠计算机辅助的案例分析即可证明结果(这在研究VCSP时很常见)。通过引入强大的还原技术,可进一步简化硬度结果。

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