子模块流的最低级规则推重标记算法及矩阵优化

E. F. Olariu, Cristian Frasinaru
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引用次数: 0

摘要

提出了一种用于子模块流和矩阵优化的组合推重标记算法。在矩阵优化的情况下,与其他已知算法相比,我们的策略不需要元素的字典顺序。结合减少活动基的数量,得到的过程的时间复杂度为0 (n6)。此外,我们的规则提供了处理元素更有趣的性质,并建议将该规则适用于子模块流算法。上述策略应用于子模块流给出了一个O(n5)时间复杂度的过程,这与基于最高级规则的过程给出的已知最佳复杂度相同。该方法为寻找可行子模块流的更简单算法开辟了一条道路,本文的第二部分将对此进行描述。我们的子模块流方法是基于一个最低级别的规则和一个类似bf的遍历相结合。最低能级规则不能单独工作,因为在处理当前节点的过程中,可能会出现较低能级上新的(ψ-或g-)较大的节点。因此,它通过bfs遍历得到加强:新的较大节点被添加到队列中——当队列变为空时,使用最低级别、更大的节点重新启动。O(n5)的时间复杂度与最著名的相同。我们的策略带来了处理节点的森林结构,其中基本操作(推动和提升)可以很容易地编号,因此具有更好的未来改进潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Lowest Level Rule Push-Relabel Algorithm for Submodular Flows and Matroid Optimization
We present a new strategy for combinatorial push-relabel algorithm used in sub modular flows and matroid optimization. In the case of matroid optimization, in contrast with other known algorithms, our strategy needs no lexicographic order of the elements. Combined with a reduction of the number of active basis the resulting procedure gives a time complexity of O(n6). Moreover our rule offers more interesting properties of the treated elements and suggests the adaptation of this rule to the sub modular flow algorithm. The above strategy applied for sub modular flows gives an O(n5) time complexity procedure, which is the same with the known best complexity given by a procedure based on highest level rule. This method starts a way for a simpler algorithm for finding a feasible sub modular flow which is described in the second part of the paper. Our method for sub modular flow is based on a lowest level rule combined with a bfs-like traversal. The lowest level rule does not work alone because new (ψ- or g-) larger nodes on lower levels can appear during treatment of the current node. Therefore, it is reinforced with a bfs traversal: the new larger nodes are added to a queue - restarted with a lowest level, larger node, whenever it becomes empty. The O(n5) time complexity is the same as the best known. Our strategy brings a forest structure of the treated nodes, where the basic operations (pushes and liftings) can be easily numbered and for this reason has a better potential for future improvements.
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