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A Characterization of Individualization-Refinement Trees
arXiv - CS - Data Structures and Algorithms Pub Date : 2021-09-15 , DOI: arxiv-2109.07302 Markus Anders, Jendrik Brachter, Pascal Schweitzer
arXiv - CS - Data Structures and Algorithms Pub Date : 2021-09-15 , DOI: arxiv-2109.07302 Markus Anders, Jendrik Brachter, Pascal Schweitzer
Individualization-Refinement (IR) algorithms form the standard method and
currently the only practical method for symmetry computations of graphs and
combinatorial objects in general. Through backtracking, on each graph an
IR-algorithm implicitly creates an IR-tree whose order is the determining
factor of the running time of the algorithm. We give a precise and constructive characterization which trees are IR-trees.
This characterization is applicable both when the tree is regarded as an
uncolored object but also when regarded as a colored object where vertex colors
stem from a node invariant. We also provide a construction that given a tree
produces a corresponding graph whenever possible. This provides a constructive
proof that our necessary conditions are also sufficient for the
characterization.
中文翻译:
个性化-细化树的表征
个性化-细化 (IR) 算法形成了标准方法,并且是目前用于图形和组合对象对称性计算的唯一实用方法。通过回溯,在每个图上,IR 算法隐式地创建了一个 IR 树,其顺序是算法运行时间的决定因素。我们给出了哪些树是 IR 树的精确和建设性的特征。当树被视为无色对象时,以及当将树视为顶点颜色源自节点不变性的有色对象时,这种表征都适用。我们还提供了一种结构,只要可能,给定一棵树就会生成相应的图。这提供了一个建设性的证据,证明我们的必要条件对于表征也是充分的。
更新日期:2021-09-16
中文翻译:
个性化-细化树的表征
个性化-细化 (IR) 算法形成了标准方法,并且是目前用于图形和组合对象对称性计算的唯一实用方法。通过回溯,在每个图上,IR 算法隐式地创建了一个 IR 树,其顺序是算法运行时间的决定因素。我们给出了哪些树是 IR 树的精确和建设性的特征。当树被视为无色对象时,以及当将树视为顶点颜色源自节点不变性的有色对象时,这种表征都适用。我们还提供了一种结构,只要可能,给定一棵树就会生成相应的图。这提供了一个建设性的证据,证明我们的必要条件对于表征也是充分的。