## Research Fields

### Random Graphs

Since the seminal work of Erdős and Rényi on the classical random graph, various random graph models are introduced and studied. The intense study of random graphs and high dimensional analogues has brought together different fields such as discrete mathematics, probability theory, theoretical computer science and statistical physics. Our research is centered around the global and local structure of random graphs, especially their phase transitions.

- Keywords: random graphs, random hypergraphs, random graph processes, random graphs with constraints, probabilistic graph theory, probabilistic combinatorics
- Institute's members working on this area: Oliver Cooley, Mihyun Kang, Christoph Koch, Philipp Sprüssel

### Discrete and Combinatorial Optimization

In discrete and combinatorial optimization one aims at selecting an optimal solution from a set of feasible solutions. The working group on combinatorial optimization at the TU Graz has paid particular attention to the following areas during the last years: (1) Investigation of efficiently solvable special cases of NP-hard optimization problems, e.g. of location problems, non-linear assignment problems, travelling salesman problems, scheduling problems and packing problems. (2) Investigation of complex real-world optimization problems, such as a combined location-transportation problem, production planning problems from chemical industry and cutting problems from paper industry. Apart from the topics mentioned above many other problem classes from combinatorial optimization have been investigated by the discrete optimization group during recent years.

- Keywords: NP-hard problems, approximation algorithms, assignment problems, complex real-world problems, efficiently solvable special cases
- Institute's members working on this area: Rainer Burkard, Eranda Dragoti-Çela, Bettina Klinz, Johannes Hatzl

### Structural, Enumerative, and Algorithmic Aspects of Graphs

Classes of graphs that have attracted much attention during recent years are graphs with constraints, such as the class of graphs on surfaces, minor-closed classes and the class of graphs with forbidden subgraphs. The members of the institute investigate enumerative, algorithmic and structural aspects of such graph classes. In view of recent results on asymptotic enumeration (and random generation) of graphs with contraints, an essential step is constructive decompositions of graphs into smaller building-blocks. Such decompositions can be interpreted as functional operations of generating functions which encode the enumerative information of graphs. Singularity analysis can then be applied to extract asymptotic behaviour of the number of graphs.

- Keywords: graphs on surfaces, minor-closed classes, singularity analysis, structural graph theory
- Institute's members working on this area: Mihyun Kang, Christoph Koch, Michael Moßhammer, Philipp Sprüssel

### Asymptotic and Probabilistic Analysis of Algorithms

The aim of “Analysis of Algorithms” is to precisely analyse various algorithms in an asymptotic and probabilistic sense. Apart from the average behaviour for large values of the parameter, limiting distributions of quantities describing the algorithms are also of interest. Specifically, we focus on the design and the analysis of algorithms for efficient generation of combinatorial structures, e.g. Boltzmann Sampler.

- Keywords: analysis of algorithms, Boltzmann sampler
- Institute's members working on this area: Mihyun Kang, Michael Moßhammer