activity
20142026
most citedPractical Minimum Cut Algorithms

26 citations · 35 across the 8 of their papers we have counts for

collaborators
Showing cs.DSShow all

12 papers · 1 filter

cs.DS2021

Algorithm Engineering for Cut Problems

Alexander Noe

Graphs are a natural representation of data from various contexts, such as social connections, the web, road networks, and many more. In the last decades, many of these networks ha…

cs.DS2021

Random Rank-Based, Hierarchical or Trivial: Which Dynamic Graph Algorithm Performs Best in Practice?

Monika Henzinger, Alexander Noe

Fully dynamic graph algorithms that achieve polylogarithmic or better time per operation use either a hierarchical graph decomposition or random-rank based approach. There are so f…

cs.DS2021

New instances for maximum weight independent set from a vehicle routing application

Yuanyuan Dong, Andrew V. Goldberg, Alexander Noe +3

We present a set of new instances of the maximum weight independent set problem. These instances are derived from a real-world vehicle routing problem and are challenging to solve…

cs.DS2021

Practical Fully Dynamic Minimum Cut Algorithms

Monika Henzinger, Alexander Noe, Christian Schulz

We present a practically efficient algorithm for maintaining a global minimum cut in large dynamic graphs under both edge insertions and deletions. While there has been theoretical…

cs.DS2020

Recent Advances in Practical Data Reduction

Faisal Abu-Khzam, Sebastian Lamm, Matthias Mnich +3

Over the last two decades, significant advances have been made in the design and analysis of fixed-parameter algorithms for a wide variety of graph-theoretic problems. This has res…

cs.DS2020

Faster Parallel Multiterminal Cuts

Monika Henzinger, Alexander Noe, Christian Schulz

We give an improved branch-and-bound solver for the multiterminal cut problem, based on the recent work of Henzinger et al.. We contribute new, highly effective data reduction rule…

cs.DS2020

Finding All Global Minimum Cuts In Practice

Monika Henzinger, Alexander Noe, Christian Schulz +1

We present a practically efficient algorithm that finds all global minimum cuts in huge undirected graphs. Our algorithm uses a multitude of kernelization rules to reduce the graph…

cs.DS2019

Shared-Memory Branch-and-Reduce for Multiterminal Cuts

Monika Henzinger, Alexander Noe, Christian Schulz

We introduce the fastest known exact algorithm~for~the multiterminal cut problem with k terminals. In particular, we engineer existing as well as new data reduction rules. We use t…

cs.DS2018

Shared-memory Exact Minimum Cuts

Monika Henzinger, Alexander Noe, Christian Schulz

The minimum cut problem for an undirected edge-weighted graph asks us to divide its set of nodes into two blocks while minimizing the weight sum of the cut edges. In this paper, we…

cs.DS2018

ILP-based Local Search for Graph Partitioning

Alexandra Henzinger, Alexander Noe, Christian Schulz

Computing high-quality graph partitions is a challenging problem with numerous applications. In this paper, we present a novel meta-heuristic for the balanced graph partitioning pr…

cs.DS2017★ 26 cited

Practical Minimum Cut Algorithms

Monika Henzinger, Alexander Noe, Christian Schulz +1

The minimum cut problem for an undirected edge-weighted graph asks us to divide its set of nodes into two blocks while minimizing the weight sum of the cut edges. Here, we introduc…

cs.DS2014★ 1 cited

Algorithms for Mapping Parallel Processes onto Grid and Torus Architectures

Roland Glantz, Henning Meyerhenke, Alexander Noe

Static mapping is the assignment of parallel processes to the processing elements (PEs) of a parallel system, where the assignment does not change during the application's lifetime…