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20202026
most citedDeterministic Algorithms for Decremental Approximate Shortest Paths: Faster and Simpler

20 citations · 76 across the 29 of their papers we have counts for

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cs.DS2026

A Practical Combinatorial Interior Point Method for Minimum-Cost Flow

Emil Schätzle, Simon Meierhans, Rasmus Kyng +1

In a recent breakthrough, Chen, Kyng, Liu, Peng, Probst Gutenberg, and Sachdeva (arXiv:2203.00671) designed the first almost-linear-time algorithm for minimum-cost flow. Their appr…

cs.DS2026

Dynamic Connectivity, Minimum Spanning Tree, and 2-Edge Connectivity with Polylogarithmic Worst-Case Update Time

Simon Meierhans, Maximilian Probst Gutenberg, Yu-Cheng Yeh

We give fully dynamic algorithms for maintaining connectivity, minimum spanning tree, and -edge connectivity of a graph with worst-case polylogarithmic update time. Our algorith…

cs.DS2026

Low-Stretch Spanning Trees via Smoothed Analysis of Dijkstra's Algorithm

Ioannis Dorkofikis, Bernhard Haeupler, Maximilian Probst Gutenberg +3

Given an undirected weighted graph , a -approximate low-stretch spanning tree (LSST) is a tree that approximates the distance metric of up to a -factor…

cs.DS2026

A Simpler and Faster Min-Cost Flow Solver via Min-Ratio Cycles from Distance Oracles

Rasmus Kyng, Simon Meierhans, Maximilian Probst Gutenberg +1

The first almost-linear time maximum and minimum cost flow algorithm of Chen-Kyng-Liu-Peng-Probst Gutenberg-Sachdeva (FOCS 2022), reduced these flow objectives to a sequence of min…

cs.DS2026

Partially-Dynamic All-Pairs Maxflow and Effective Resistance via Stable Sparsifiers

Gramoz Goranci, Rasmus Kyng, Maximilian Probst Gutenberg +2

We give a randomized data structure for undirected weighted graphs that are partially dynamic, i.e., that undergo either only edge insertions or only edge deletions. The data struc…

cs.DS2026

An Online Sparsification Algorithm from the Book

Gramoz Goranci, Rasmus Kyng, Maximilian Probst Gutenberg +2

In their seminal paper [Cohen et al., 2016], Cohen, Musco, and Pachocki proposed a natural and simple online spectral sparsification algorithm: rows $a_1, a_2, \ldots \in \mathbb{R…

cs.DS2026

A Near-Optimal Offline Algorithm for Dynamic All-Pairs Shortest Paths in Planar Digraphs

Debarati Das, Maximilian Probst Gutenberg, Christian Wulff-Nilsen

In the planar, dynamic All-Pairs Shortest Paths (APSP) problem, a planar, weighted digraph undergoes a sequence of edge weight updates and the goal is to maintain a data struct…

cs.DS2026

An Approximation Algorithm for Graph Label Selection

Josia John, Simon Meierhans, Maximilian Probst Gutenberg

In the graph label selection problem, one is given an -vertex graph and a budget , and seeks to select vertices whose labels enable accurate prediction of the labels on t…

cs.DS2026

Parallel Reachability and Shortest Paths on Non-sparse Digraphs: Near-linear Work and Sub-square-root Depth

Vikrant Ashvinkumar, Aaron Bernstein, Maximilian Probst Gutenberg +1

We present parallel algorithms for computing single-source reachability and shortest paths on directed -vertex -edge graphs using near-linear work and $o(\sqrt…