Master data

Title: Asymptotic Analysis of Shape Parameters of Trees and Lattice Paths
Subtitle:
Abstract:

Trees and Lattice Paths are two inherently connected, elementary combinatorial structures. Within this thesis, tools from the Analytic Combinatorics framework are adapted and used in order to conduct an asymptotic analysis of certain shape parameters of interest.


Predominantly, the parameters under investigation are associated to deterministic reduction procedures. To be more precise, a suitable deterministic reduction naturally induces a notion of age on the objects (in the sense that "older" objects require more reductions until they are "irreducible"). Prominent examples of parameters that can be modeled by this approach include the height of plane trees, the register function (Horton--Strahler index) of binary trees, as well as the pruning index.


The extensive calculations involved in the asymptotic analysis of these shape parameters are carried out with the help of the free open-source computer mathematics software system SageMath and its included module for computations with asymptotic expansions, developed by Clemens Heuberger, Daniel Krenn, and the author. Besides straightforward verification of the stated results, this also allows to analyze the parameters with an unusually high degree of precision.

Keywords:
Publication type: Thesis (not published) (Authorship)
Publication date: 30.05.2018 (Print)
Title of the series: -
Volume number: -
First publication: Yes
Total number of pages: 153 pp.

Versionen

Keine Version vorhanden
Publication date: 30.05.2018
ISBN: -
ISSN: -
Homepage: https://benjamin-hackl.at/downloads/PhD-Thesis_Hackl.pdf

Authors

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Mathematik
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
   math@aau.at
https://www.aau.at/mathematik
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Publisher

Organisation Address
Hochschulschrift
Austria
AT  

Categorisation

Subject areas
  • 101002 - Analysis
  • 101005 - Computer algebra
  • 101008 - Complex analysis
  • 101012 - Combinatorics
  • 101024 - Probability theory
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups
  • Diskrete Mathematik und Optimierung

Cooperations

No partner organisations selected

Articles of the publication

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