Conditional lower bounds for dynamic graph problems has received a great deal of attention in recent years. While many results are now known for the fully-dynamic case and such bounds often imply worst-case bounds for the partially dynamic setting, it seems much more difficult to prove amortized bounds for incremental and decremental algorithms. In this paper we consider partially dynamic versions of three classic problems in graph theory. Based on popular conjectures we show that: - No algorithm with amortized update time O(n^{1-epsilon}) exists for incremental or decremental maximum cardinality bipartite matching. This significantly improves on the O(m^{1/2-epsilon}) bound for sparse graphs of Henzinger et al. [STOC\u2715] and O(n^{1/3-e...
This thesis studies a series of questions about dynamic algorithms which are algorithms for quickly ...
We study the exact fully dynamic shortest paths problem. For real-weighted directed graphs, we show ...
© 2020 ACM. In the dynamic Single-Source Shortest Paths (SSSP) problem, we are given a graph G=(V,E)...
The diameter, radius and eccentricities are natural graph parameters. While these problems have been...
A dynamic graph algorithm is a data structure that answers queries about a property of the current g...
© Bertie Ancona, Monika Henzinger, Liam Roditty, Virginia Vassilevska Williams, and Nicole Wein; lic...
In recent years it has become popular to study dynamic problems in a sensitivity setting: Instead of...
International audienceA dynamic graph algorithm is a data structure that answers queries about a pro...
AbstractA common way to evaluate the time complexity of an algorithm is to use asymptotic worst-case...
In the dynamic approximate maximum bipartite matching problem we are given bipartite graph G undergo...
In this paper, we develop deterministic fully dynamic algorithms for computing approximate distances...
AbstractA common way to evaluate the time complexity of an algorithm is to use asymptotic worst-case...
AbstractWe study the fully-dynamic all pairs shortest path problem for graphs with arbitrary non-neg...
This thesis studies a series of questions about dynamic algorithms which are algorithms for quickly ...
We provide the first deterministic data structure that given a weighted undirected graph undergoing ...
This thesis studies a series of questions about dynamic algorithms which are algorithms for quickly ...
We study the exact fully dynamic shortest paths problem. For real-weighted directed graphs, we show ...
© 2020 ACM. In the dynamic Single-Source Shortest Paths (SSSP) problem, we are given a graph G=(V,E)...
The diameter, radius and eccentricities are natural graph parameters. While these problems have been...
A dynamic graph algorithm is a data structure that answers queries about a property of the current g...
© Bertie Ancona, Monika Henzinger, Liam Roditty, Virginia Vassilevska Williams, and Nicole Wein; lic...
In recent years it has become popular to study dynamic problems in a sensitivity setting: Instead of...
International audienceA dynamic graph algorithm is a data structure that answers queries about a pro...
AbstractA common way to evaluate the time complexity of an algorithm is to use asymptotic worst-case...
In the dynamic approximate maximum bipartite matching problem we are given bipartite graph G undergo...
In this paper, we develop deterministic fully dynamic algorithms for computing approximate distances...
AbstractA common way to evaluate the time complexity of an algorithm is to use asymptotic worst-case...
AbstractWe study the fully-dynamic all pairs shortest path problem for graphs with arbitrary non-neg...
This thesis studies a series of questions about dynamic algorithms which are algorithms for quickly ...
We provide the first deterministic data structure that given a weighted undirected graph undergoing ...
This thesis studies a series of questions about dynamic algorithms which are algorithms for quickly ...
We study the exact fully dynamic shortest paths problem. For real-weighted directed graphs, we show ...
© 2020 ACM. In the dynamic Single-Source Shortest Paths (SSSP) problem, we are given a graph G=(V,E)...