We give new deterministic bounds for fully-dynamic graph connectivity. Our data structure supports updates (edge insertions/deletions) in O(log2 n / log log n) amortized time and connectivity queries in O(log n / log log n) worst-case time, where n is the number of vertices of the graph. This improves the deterministic data structures of Holm, de Lichtenberg, and Thorup (STOC 1998, J.ACM 2001) and Thorup (STOC 2000) which both have O(log2 n) amortized update time and O(log n / log log n) worst-case query time. Our model of computation is the same as that of Thorup, i.e., a pointer machine with standard AC0 instructions.
We introduce a new dynamic data structure for maintaining the strongly connected components (SCCs) o...
International audienceA dynamic graph algorithm is a data structure that answers queries about a pro...
Deterministic fully dynamic algorithms are presented for 2-edge connectivity and biconnectivity. For...
Deterministic fully dynamic graph algorithms are presented for connectivity and minimum spanning for...
We present a deterministic dynamic connectivity data structure for undirected graphs with worst case...
Dynamic connectivity is one of the most fundamental problems in dynamic graphalgorithms. We present ...
In this paper we present deterministic fully dynamic algorithms for maintaining several properties o...
Dynamic connectivity is an extremely well-studied problem, but so far the most compelling progress h...
We consider maintaining strongly connected components (SCCs) of a directed graph subject to edge ins...
This paper presents the first dynamic algorithm that maintains 2-edge connectivity in polylogarithmi...
We prove lower bounds on the complexity of maintaining fully dynamic $k$-edge or $k$-vertex connecti...
Answering connectivity queries is fundamental to fully dynamic graphs where edges and vertices are i...
Answering connectivity queries is fundamental to fully dynamic graphs where edges and vertices are i...
We prove lower bounds on the complexity of maintaining fully dynamic $k$-edge or $k$-vertex connect...
It is well known that many local graph problems, like Vertex Cover and Dominating Set, can be solved...
We introduce a new dynamic data structure for maintaining the strongly connected components (SCCs) o...
International audienceA dynamic graph algorithm is a data structure that answers queries about a pro...
Deterministic fully dynamic algorithms are presented for 2-edge connectivity and biconnectivity. For...
Deterministic fully dynamic graph algorithms are presented for connectivity and minimum spanning for...
We present a deterministic dynamic connectivity data structure for undirected graphs with worst case...
Dynamic connectivity is one of the most fundamental problems in dynamic graphalgorithms. We present ...
In this paper we present deterministic fully dynamic algorithms for maintaining several properties o...
Dynamic connectivity is an extremely well-studied problem, but so far the most compelling progress h...
We consider maintaining strongly connected components (SCCs) of a directed graph subject to edge ins...
This paper presents the first dynamic algorithm that maintains 2-edge connectivity in polylogarithmi...
We prove lower bounds on the complexity of maintaining fully dynamic $k$-edge or $k$-vertex connecti...
Answering connectivity queries is fundamental to fully dynamic graphs where edges and vertices are i...
Answering connectivity queries is fundamental to fully dynamic graphs where edges and vertices are i...
We prove lower bounds on the complexity of maintaining fully dynamic $k$-edge or $k$-vertex connect...
It is well known that many local graph problems, like Vertex Cover and Dominating Set, can be solved...
We introduce a new dynamic data structure for maintaining the strongly connected components (SCCs) o...
International audienceA dynamic graph algorithm is a data structure that answers queries about a pro...
Deterministic fully dynamic algorithms are presented for 2-edge connectivity and biconnectivity. For...