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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 …
A faster algorithm for solving general LPs
The fastest known LP solver for general (dense) linear programs is due to [Cohen, Lee and
Song'19] and runs in O*(n ω+ n 2.5− α/2+ n 2+ 1/6) time. A number of follow-up works [Lee …
Song'19] and runs in O*(n ω+ n 2.5− α/2+ n 2+ 1/6) time. A number of follow-up works [Lee …
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 …
Maximum Bipartite Matching in 𝑛2+𝑜(1) Time via a Combinatorial Algorithm
J Chuzhoy, S Khanna - Proceedings of the 56th Annual ACM …, 2024 - dl.acm.org
Maximum bipartite matching (MBM) is a fundamental problem in combinatorial optimization
with a long and rich history. A classic result of Hopcroft and Karp (1973) provides an O (m√ …
with a long and rich history. A classic result of Hopcroft and Karp (1973) provides an O (m√ …
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 …
Mongoose: A learnable lsh framework for efficient neural network training
Recent advances by practitioners in the deep learning community have breathed new life
into Locality Sensitive Hashing (LSH), using it to reduce memory and time bottlenecks in …
into Locality Sensitive Hashing (LSH), using it to reduce memory and time bottlenecks in …
Faster Vizing and near-Vizing edge coloring algorithms
S Assadi - Proceedings of the 2025 Annual ACM-SIAM …, 2025 - SIAM
Vizing's celebrated theorem states that every simple graph with maximum degree Δ admits a
(Δ+ 1) edge coloring which can be found in O (m· n) time on n-vertex m-edge graphs. This is …
(Δ+ 1) edge coloring which can be found in O (m· n) time on n-vertex m-edge graphs. This is …
Unit Capacity Maxflow in Almost Time
We present an algorithm which given any m-edge directed graph with positive integer
capacities at most U, vertices a and b, and an approximation parameter ϵ∈(0,1) computes …
capacities at most U, vertices a and b, and an approximation parameter ϵ∈(0,1) computes …