2015•Publications of the UdS (Saarland University)Open access

The simple, little and slow things count : on parameterized counting complexity

Radu Curticapean

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Abstract

This contribution is intended to be a self-contained and minimally technical exposition of the material in my 2015 dissertation, which was supervised by Markus Blaser. As its title suggests, the thesis investigates the complexity of combinatorial counting problems in the frameworks of parameterized (and exponential-time) complexity. More precisely, the following specific settings are explored: Counting perfect matchings in structurally “simple” graphs, for instance, in graphs that exclude specific fixed minors Counting small subgraph patterns in large host graphs Exponential lower bounds on the running time needed to solve counting problems, assuming popular conjectures such as the exponentialtime hypothesis

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What this paper is about

This contribution is intended to be a self-contained and minimally technical exposition of the material in my 2015 dissertation, which was supervised by Markus Blaser. As its title suggests, the thesis investigates the complexity of combinatorial counting problems in the frameworks of parameterized (and exponential-time) complexity. More precisely, the following specific settings are explored: Counting perfect matchings in structurally “simple” graphs, for instance, in graphs that exclude specific fixed minors Counting small subgraph patterns in large host graphs Exponential lower bounds on the running time needed to solve counting problems, assuming popular conjectures such as the exponentialtime hypothesis

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OpenAlex reports 21 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This contribution is intended to be a self-contained and minimally technical exposition of the material in my 2015 dissertation, which was supervised by Markus Blaser. As its title suggests, the thesis investigates the complexity of combinatorial counting problems in the frameworks of parameterized (and exponential-time) complexity. More precisely, the following specific settings are explored: Counting perfect matchings in structurally “simple” graphs, for instance, in graphs that exclude specific fixed minors Counting small subgraph patterns in large host graphs Exponential lower bounds on the running time needed to solve counting problems, assuming popular conjectures such as the exponentialtime hypothesis

Key concepts: Parameterized complexity, Simple (philosophy), Counting problem, Mathematics, Exponential function, Computer science, Combinatorics, Exposition (narrative)

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