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Jacob Holm

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

12 papers
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12

MFCS Conference 2022 Conference Paper

On Dynamic α + 1 Arboricity Decomposition and Out-Orientation

  • Aleksander Bjørn Grodt Christiansen
  • Jacob Holm
  • Eva Rotenberg
  • Carsten Thomassen

A graph has arboricity α if its edges can be partitioned into α forests. The dynamic arboricity decomposition problem is to update a partitioning of the graph’s edges into forests, as a graph undergoes insertions and deletions of edges. We present an algorithm for maintaining partitioning into α+1 forests, provided the arboricity of the dynamic graph never exceeds α. Our algorithm has an update time of Õ(n^{3/4}) when α is at most polylogarithmic in n. Similarly, the dynamic bounded out-orientation problem is to orient the edges of the graph such that the out-degree of each vertex is at all times bounded. For this problem, we give an algorithm that orients the edges such that the out-degree is at all times bounded by α+1, with an update time of Õ(n^{5/7}), when α is at most polylogarithmic in n. Here, the choice of α+1 should be viewed in the light of the well-known lower bound by Brodal and Fagerberg which establishes that, for general graphs, maintaining only α out-edges would require linear update time. However, the lower bound by Brodal and Fagerberg is non-planar. In this paper, we give a lower bound showing that even for planar graphs, linear update time is needed in order to maintain an explicit three-out-orientation. For planar graphs, we show that the dynamic four forest decomposition and four-out-orientations, can be updated in Õ(n^{1/2}) time.

FOCS Conference 2019 Conference Paper

Random k-out Subgraph Leaves only O(n/k) Inter-Component Edges

  • Jacob Holm
  • Valerie King
  • Mikkel Thorup
  • Or Zamir
  • Uri Zwick

Each vertex of an arbitrary simple graph on n vertices chooses k random incident edges. What is the expected number of edges in the original graph that connect different connected components of the sampled subgraph? We prove that the answer is O(n/k), when k ≥ c log n, for some large enough c. We conjecture that the same holds for smaller values of k, possibly for any k ≥ 2. Such a result is best possible for any k ≥ 2. As an application, we use this sampling result to obtain a one-way communication protocol with private randomness for finding a spanning forest of a graph in which each vertex sends only O (√n log n) bits to a referee.

FOCS Conference 2015 Conference Paper

Planar Reachability in Linear Space and Constant Time

  • Jacob Holm
  • Eva Rotenberg
  • Mikkel Thorup

We show how to represent a planar digraph in linear space so that reach ability queries can be answered in constant time. The data structure can be constructed in linear time. This representation of reach ability is thus optimal in both time and space, and has optimal construction time. The previous best solution used O(n log n) space for constant query time [Thorup FOCS'01].