🤖 AI Summary
本文针对K_r-e-自由图三明治问题，提出了一种时间复杂度为O(n+α(G2)^(r-3)m2)的确定性算法，通过维护公共邻域组件并优化处理过程来改进现有方法。
📝 Abstract
For a fixed integer $r\geq4$, the $K_r-e$-free graph sandwich problem asks whether, given graphs $G_1\subseteq G_2$ on the same vertex set, there is an induced-$K_r-e$-free graph $H$ between them. We give a deterministic algorithm taking $O(n+α(G_2)^{r-3}m_2)$ time and space, where $m_2=|E(G_2)|$ and $α(G_2)$ is the arboricity of $G_2$. In particular, the diamond-free case takes $O(n+α(G_2)m_2)$ time. This improves the direct $O(n^r m_2)$ implementation of the previously known forced-edge closure. Our implementation maintains components of common neighborhoods indexed by $(r-3)$-cliques. A filtered frontier supports their merges within the clique-listing bound, while completion events avoid repeatedly searching for affected cliques. On feasible instances the output is contained in every feasible sandwich, independently of processing order. Applying the closure to $(G,K_n)$ gives an $O(n^{r-1})$-time bound for partitioned and nonpartitioned probe $K_r-e$-free recognition, improving the $O(n^{r+2})$ bound obtained from the direct sandwich closure. We also describe a direct static recognizer based on the same local characterization.