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Maximum flow and minimum-cost flow in almost-linear time
We give an algorithm that computes exact maximum flows and minimum-cost flows on
directed graphs with m edges and polynomially bounded integral demands, costs, and …
directed graphs with m edges and polynomially bounded integral demands, costs, and …
A deterministic almost-linear time algorithm for minimum-cost flow
We give a deterministic m^1+o(1) time algorithm that computes exact maximum flows and
minimum-cost flows on directed graphs with m edges and polynomially bounded integral …
minimum-cost flows on directed graphs with m edges and polynomially bounded integral …
Minimum cost flows, MDPs, and ℓ1-regression in nearly linear time for dense instances
In this paper we provide new randomized algorithms with improved runtimes for solving
linear programs with two-sided constraints. In the special case of the minimum cost flow …
linear programs with two-sided constraints. In the special case of the minimum cost flow …
Bipartite matching in nearly-linear time on moderately dense graphs
We present an ̃O(m+n^1.5)-time randomized algorithm for maximum cardinality bipartite
matching and related problems (eg transshipment, negative-weight shortest paths, and …
matching and related problems (eg transshipment, negative-weight shortest paths, and …
A deterministic algorithm for balanced cut with applications to dynamic connectivity, flows, and beyond
We consider the classical Minimum Balanced Cut problem: given a graph G, compute a
partition of its vertices into two subsets of roughly equal volume, while minimizing the …
partition of its vertices into two subsets of roughly equal volume, while minimizing the …
Fully dynamic electrical flows: Sparse maxflow faster than Goldberg–Rao
We give an algorithm for computing exact maximum flows on graphs with edges and integer
capacities in the range in time. We use to suppress logarithmic factors in. For sparse graphs …
capacities in the range in time. We use to suppress logarithmic factors in. For sparse graphs …
Negative-weight single-source shortest paths in near-linear time
In the single-source shortest paths problem, the goal is to compute the shortest path tree
from a designated source vertex in a weighted, directed graph. We present the first near …
from a designated source vertex in a weighted, directed graph. We present the first near …
Expander decomposition and pruning: Faster, stronger, and simpler
We study the problem of graph clustering where the goal is to partition a graph into clusters,
ie disjoint subsets of vertices, such that each cluster is well connected internally while …
ie disjoint subsets of vertices, such that each cluster is well connected internally while …
The expander hierarchy and its applications to dynamic graph algorithms
We introduce a notion for hierarchical graph clustering which we call the expander hierarchy
and show a fully dynamic algorithm for maintaining such a hierarchy on a graph with n …
and show a fully dynamic algorithm for maintaining such a hierarchy on a graph with n …
Deterministic decremental reachability, scc, and shortest paths via directed expanders and congestion balancing
Let G=(V, E, w) be a weighted, directed graph subject to a sequence of adversarial edge
deletions. In the decremental single-source reachability problem (SSR), we are given a fixed …
deletions. In the decremental single-source reachability problem (SSR), we are given a fixed …