Deterministic Replacement Path Covering
Karthik C. S., Merav Parter
摘要
In this article, we provide a unified and simplified approach to derandomize central results in the area of fault-tolerant graph algorithms. Given a graph G, a vertex pair (s, t) ∊ V(G) × V(G), and a set of edge faults F ⊆ E(G), a replacement path P(s, t, F) is an s-t shortest path in G F. For integer parameters L, f, a replacement path covering (RPC) is a collection of subgraphs of G, denoted by ∊L,f = G1, …, Gr, such that for every set F of at most f faults (i.e., |F| ≤ f) and every replacement path P(s, t, F) of at most L edges, there exists a subgraph Gi ∊ ∊L,f that contains all the edges of P and does not contain any of the edges of F. The covering value of the RPC GL,f is then defined to be the number of subgraphs in ∊L,f. In the randomized setting, it is easy to build an (L, f)-RPC with covering value of O(maxL, fminL,f ·minL, f· log n), but to this date, there is no efficient deterministic algorithm with matching bounds. As noted recently by Alon, Chechik, and Cohen (ICALP 2019) this poses the key barrier for derandomizing known constructions of distance sensitivity oracles and fault-tolerant spanners. We show the following: There exist efficient deterministic constructions of (L, f)-RPCs whose covering values almost match the randomized ones, for a wide range of parameters. Our time and value bounds improve considerably over the previous construction of Parter (DISC 2019). Our algorithms are based on the introduction of a novel notion of hash families that we call Hit and Miss hash families. We then show how to construct these hash families from (algebraic) error correcting codes such as Reed-Solomon codes and Algebraic-Geometric codes. For every L, f, and n, there exists an n-vertex graph G whose (L, f)-RPC covering value is Ω(Lf). This lower bound is obtained by exploiting connections to the problem of designing sparse fault-tolerant BFS structures. An applications of our above deterministic constructions is the derandomization of the algebraic construction of the distance sensitivity oracle by Weimann and Yuster (FOCS 2010). The preprocessing and query time of our deterministic algorithm nearly match the randomized bounds. This resolves the open problem of Alon, Chechik and Cohen (ICALP 2019). Additionally, we show a derandomization of the randomized construction of vertex fault-tolerant spanners by Dinitz and Krauthgamer (PODC 2011) and Braunschvig et al. (Theor. Comput. Sci., 2015). The time complexity and the size bounds of the output spanners nearly match the randomized counterparts.
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引用它的顶会 Paper13
- Coresets for Clustering with Missing ValuesVladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan WuNeurIPS 2021 · 被引用 21 次
- Optimal Vertex Fault-Tolerant Spanners in Polynomial TimeGreg Bodwin, Michael Dinitz, Caleb RobelleSODA 2021 · 被引用 17 次
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它引用的顶会 Paper3
- Distance sensitivity oracles with subcubic preprocessing time and fast query timeShiri Chechik, Sarel CohenSTOC 2020 · 被引用 23 次
- Optimal Vertex Fault-Tolerant Spanners in Polynomial TimeGreg Bodwin, Michael Dinitz, Caleb RobelleSODA 2021 · 被引用 17 次
- Nearly optimal vertex fault-tolerant spanners in optimal time: sequential, distributed, and parallelMerav ParterSTOC 2022 · 被引用 8 次
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