A fully dynamic approximate distance oracle is a distance reporting data structure that supports dynamic insert edge and delete edge operations. In this paper we break a longstanding barrier in the design of fully dynamic all-pairs approximate distance oracles. All previous results for this model incurred an amortized cost of at least Omega(n) per operation. We present the first construction that provides constant stretch and o(m) amortized update time. For graphs that are not too dense (where |E| = O(|V|^{2-delta}) for some delta>0 we break the O(n) barrier and provide the first construction with constant stretch and o(n) amortized cost
Abstract. We obtain the following results related to dynamic versions of the shortest-paths problem:...
We provide the first deterministic data structure that given a weighted undirected graph undergoing ...
This paper presents the first fully dynamic algorithms for maintaining all-pairs shortest paths in d...
We study the exact fully dynamic shortest paths problem. For real-weighted directed graphs, we show ...
AbstractWe present the first fully dynamic algorithm for maintaining all pairs shortest paths in dir...
AbstractWe study the fully-dynamic all pairs shortest path problem for graphs with arbitrary non-neg...
Let G be a directed graph with n vertices, subject to dynamic updates, and such that each edge weigh...
For any fixed 1 > [epsilon] > 0 we present a fully dynamic algorithm for maintaining (2 + [epsilon])...
We study novel combinatorial properties of graphs that allow us to devise a completely new approach ...
We present the first fully dynamic algorithm for maintaining all pairs shortest paths in directed gr...
Given an undirected, unweighted graph G on n nodes, there is an O(n^2*poly log(n))-time algorithm th...
We revisit the classic problem of dynamically maintaining shortest paths between all pairs of nodes ...
In this paper, we develop deterministic fully dynamic algorithms for computing approximate distances...
We consider the problem of maintaining the distances and the shortest paths from a single source in ...
© 2020 ACM. In the dynamic Single-Source Shortest Paths (SSSP) problem, we are given a graph G=(V,E)...
Abstract. We obtain the following results related to dynamic versions of the shortest-paths problem:...
We provide the first deterministic data structure that given a weighted undirected graph undergoing ...
This paper presents the first fully dynamic algorithms for maintaining all-pairs shortest paths in d...
We study the exact fully dynamic shortest paths problem. For real-weighted directed graphs, we show ...
AbstractWe present the first fully dynamic algorithm for maintaining all pairs shortest paths in dir...
AbstractWe study the fully-dynamic all pairs shortest path problem for graphs with arbitrary non-neg...
Let G be a directed graph with n vertices, subject to dynamic updates, and such that each edge weigh...
For any fixed 1 > [epsilon] > 0 we present a fully dynamic algorithm for maintaining (2 + [epsilon])...
We study novel combinatorial properties of graphs that allow us to devise a completely new approach ...
We present the first fully dynamic algorithm for maintaining all pairs shortest paths in directed gr...
Given an undirected, unweighted graph G on n nodes, there is an O(n^2*poly log(n))-time algorithm th...
We revisit the classic problem of dynamically maintaining shortest paths between all pairs of nodes ...
In this paper, we develop deterministic fully dynamic algorithms for computing approximate distances...
We consider the problem of maintaining the distances and the shortest paths from a single source in ...
© 2020 ACM. In the dynamic Single-Source Shortest Paths (SSSP) problem, we are given a graph G=(V,E)...
Abstract. We obtain the following results related to dynamic versions of the shortest-paths problem:...
We provide the first deterministic data structure that given a weighted undirected graph undergoing ...
This paper presents the first fully dynamic algorithms for maintaining all-pairs shortest paths in d...