most citedA Framework for Analyzing Resparsification Algorithms

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.DS20231 cited

A Dynamic Shortest Paths Toolbox: Low-Congestion Vertex Sparsifiers and their Applications

Rasmus Kyng, Simon Meierhans, Maximilian Probst Gutenberg

We present a general toolbox, based on new vertex sparsifiers, for designing data structures to maintain shortest paths in dynamic graphs. In an -edge graph undergoing edge inse…

cs.DS2023

Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time

Jan van den Brand, Li Chen, Rasmus Kyng +5

We provide an algorithm which, with high probability, maintains a -approximate maximum flow on an undirected graph undergoing -edge additions in amortized $m^{o(1)} ε^{-3…

cs.DS20233 cited

A Deterministic Almost-Linear Time Algorithm for Minimum-Cost Flow

Jan van den Brand, Li Chen, Rasmus Kyng +5

We give a deterministic time algorithm that computes exact maximum flows and minimum-cost flows on directed graphs with edges and polynomially bounded integral dem…

math.NA20232 cited

Robust and Practical Solution of Laplacian Equations by Approximate Elimination

Yuan Gao, Rasmus Kyng, Daniel A. Spielman

We introduce a new algorithm and software for solving linear equations in symmetric diagonally dominant matrices with non-positive off-diagonal entries (SDDM matrices), including L…

cs.DS2022

Derandomizing Directed Random Walks in Almost-Linear Time

Rasmus Kyng, Simon Meierhans, Maximilian Probst Gutenberg

In this article, we present the first deterministic directed Laplacian L systems solver that runs in time almost-linear in the number of non-zero entries of L. Previous reductions…

cs.DS20161 cited

A Framework for Analyzing Resparsification Algorithms

Rasmus Kyng, Jakub Pachocki, Richard Peng +1

A spectral sparsifier of a graph is a sparser graph that approximately preserves the quadratic form of , i.e. for all vectors , , where $…