Oct 17, 2019 · We study deterministic algorithms for computing graph cuts, with focus on two fundamental problems: balanced sparse cut and k-vertex connectivity for small k.
Oct 18, 2019 · We study deterministic algorithms for computing graph cuts, with focus on two fundamen- tal problems: balanced sparse cut and k-vertex ...
A Deterministic Algorithm for Balanced Cut with Applications to Dynamic Connectivity, Flows, and Beyond · Computer Science, Mathematics. 2020 IEEE 61st Annual ...
We use this algorithm to obtain deterministic algorithms for dynamic connectivity and minimum spanning forest, whose worst-case update time on an n-vertex graph ...
• A Deterministic Algorithm for Balanced Cut with Applications ... • Deterministic Graph Cuts in Subquadratic Time: Sparse, Balanced, and k-Vertex, preprint,.
Article "Deterministic Graph Cuts in Subquadratic Time: Sparse, Balanced, and k-Vertex" Detailed information of the J-GLOBAL is an information service ...
The implications include almost-linear time deterministic algorithms for solving. Laplacian systems and for approximating maximum flows in undirected graphs.
There is a deterministic algorithm that, given an undirected graph G, in m1+o(1)2O(c2) time either outputs a vertex cut of size less than c or concludes that G ...
Deterministic Graph Cuts in Subquadratic Time: Sparse, Balanced, and k-Vertex [pdf] Yu Gao, Jason Li, Danupon Nanongkai, Richard Peng, Thatchaphol Saranurak ...
Oct 22, 2024 · The (vertex) connectivity κ of a graph is the smallest number of vertices whose deletion separates the graph or makes it trivial.