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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.DS2020

Near-Optimal Algorithms for Reachability, Strongly-Connected Components and Shortest Paths in Partially Dynamic Digraphs

Maximilian Probst Gutenberg

In this thesis, we present new techniques to deal with fundamental algorithmic graph problems where graphs are directed and partially dynamic, i.e. undergo either a sequence of edg…

cs.DS2020

Decremental APSP in Directed Graphs Versus an Adaptive Adversary

Jacob Evald, Viktor Fredslund-Hansen, Maximilian Probst Gutenberg +1

Given a directed graph , undergoing an online sequence of edge deletions with edges in the initial version of and , we consider the problem of maintaini…

cs.DS2020

New Techniques and Fine-Grained Hardness for Dynamic Near-Additive Spanners

Thiago Bergamaschi, Monika Henzinger, Maximilian Probst Gutenberg +2

Maintaining and updating shortest paths information in a graph is a fundamental problem with many applications. As computations on dense graphs can be prohibitively expensive, and…

cs.DS2020

Deterministic Decremental Reachability, SCC, and Shortest Paths via Directed Expanders and Congestion Balancing

Aaron Bernstein, Maximilian Probst Gutenberg, Thatchaphol Saranurak

Let be a weighted, digraph subject to a sequence of adversarial edge deletions. In the decremental single-source reachability problem (SSR), we are given a fixed sour…

cs.DS2020

Fully-Dynamic Graph Sparsifiers Against an Adaptive Adversary

Aaron Bernstein, Jan van den Brand, Maximilian Probst Gutenberg +4

Designing dynamic graph algorithms against an adaptive adversary is a major goal in the field of dynamic graph algorithms. While a few such algorithms are known for spanning trees,…

cs.DS2020

Near-Optimal Decremental SSSP in Dense Weighted Digraphs

Aaron Bernstein, Maximilian Probst Gutenberg, Christian Wulff-Nilsen

In the decremental Single-Source Shortest Path problem (SSSP), we are given a weighted directed graph undergoing edge deletions and a source vertex ; let $n =…

cs.DS2020★ 19 cited

Fully-Dynamic All-Pairs Shortest Paths: Improved Worst-Case Time and Space Bounds

Maximilian Probst Gutenberg, Christian Wulff-Nilsen

Given a directed weighted graph undergoing vertex insertions \emph{and} deletions, the All-Pairs Shortest Paths (APSP) problem asks to maintain a data structure that proc…

cs.DS2020★ 19 cited

Decremental SSSP in Weighted Digraphs: Faster and Against an Adaptive Adversary

Maximilian Probst Gutenberg, Christian Wulff-Nilsen

Given a dynamic digraph undergoing edge deletions and given and , we consider the problem of maintaining -approximate shortest path distances from…

cs.DS2020★ 20 cited

Deterministic Algorithms for Decremental Approximate Shortest Paths: Faster and Simpler

Maximilian Probst Gutenberg, Christian Wulff-Nilsen

In the decremental -approximate Single-Source Shortest Path (SSSP) problem, we are given a graph with , undergoing edge deletions, and a distingu…

cs.DS2020

New Algorithms and Hardness for Incremental Single-Source Shortest Paths in Directed Graphs

Maximilian Probst Gutenberg, Virginia Vassilevska Williams, Nicole Wein

In the dynamic Single-Source Shortest Paths (SSSP) problem, we are given a graph subject to edge insertions and deletions and a source vertex , and the goal is to…