Tobias Heuer

Dr. Tobias Heuer

Research Interests

  • Graph and Hypergraph Partitioning
  • Shared Memory Algorithms
  • Succinct Data Structures

Publications


Journal Articles
Title Author(s) Source Date

Sebastian Schlag, Peter Sanders, Tobias Heuer

JEA

2019

Teaching

Courses
Title Type Semester
Proseminar (PS) SS 2021
Proseminar (PS) SS 2022
lab course SS20
Vorlesung (V) WS 19/20
Vorlesung (V) WS 20/21
Praxis der Softwareentwicklung WS 2021/2022
Completed Thesis
Titel Forschungsthema Betreuer Student
Graph Partitioning, Social Networks, Approximation Algorithm

Tobias Heuer

Nikolai Maas

Graph Partitioning, Local Search Algorithms, Integer Linear Programing

Daniel Seemaier

Tobias Heuer

Cedrico Knoesel

Hypergraph Partitioning, Shared-Memory Algorithms, Local Search

Lars Gottesbüren

Tobias Heuer

Moritz Laupichler

Graph Partitioning, Initial Partitioning, Local Search Algorithms

Christian Schulz

Daniel Seemaier

Tobias Heuer

 

Manuel Haag

Community Detection, Hypergraph Partitioning, Shared Memory Algorithms

Lars Gottesbüren

Tobias Heuer

Robert Krause

Hypergraph Partitioning, Shared Memory Algorithms, Network Flows

Tobias Heuer

Lukas Reister

Hypergraph Partitioning, Machine Learning, Coarsening Algorithms

Christian Schulz

Daniel Seemaier

Tobias Heuer

Tobias Fuchs

Hypergraph Partitioning, Initial Partitioning, Load Balancing

Sebastian Schlag

Tobias Heuer

Nikolai Maas

Database Optimization

Sebastian Schlag
Tobias Heuer

Patrick Firnkes