Project: Modeling-Simulation-Optimization of dis...
Master data
Modeling-Simulation-Optimization of discrete, continuous, and stochastic systems | |
Description: | Mathematical models of systems, e.g. in modern Information Technology, quite often exhibit both discrete and continuous aspects as well as their interaction. This concerns the modeling of time in dynamical systems either as a continuum or a finite/countable number of instances when observations are taken or when control acts, and strongly influences the analysis of the qualitative behavior of such systems as well as their design via continuous or combinatorial optimization methods, respectively. Moreover, robustness with respect to uncertainty caused by noise or perturbations is a crucial issue in such systems and needs skillful stochastic modeling as well as estimation, prediction and model validation. The rigorous and efficient treatment of these problems requires knowledge from a wide range of mathematical fields, namely Dynamical Systems, Statistical Data Analysis, Nonlinear and Combinatorial Optimization, Discrete Mathematics and Inverse Problems. The DK MSO is supported by the Karl Popper Kolleg of the AAU. |
Keywords: | Numerical and qualitative analysis of dynamical systems, Nonlinear and combinatorial optimization, Extremal discrete structures, Bayesian spatio-temporal prediction and design, Inverse problems |
Short title: | DK Modeling-Simulation-Optimization |
Period: | 15.10.2014 - 31.03.2023 |
Contact e-mail: | barbara.kaltenbacher@aau.at |
Homepage: | https://www.math.aau.at/mso/ |
Employees
Employees | Role | Time period |
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Barbara Kaltenbacher (internal) |
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Clemens Heuberger (internal) |
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Jürgen Pilz (internal) |
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Christian Pötzsche (internal) |
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Franz Rendl (internal) |
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Elisabeth Gaar (internal) |
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Aditya Ivaturi (internal) |
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Michela Mazzoli (internal) |
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Jorge Alberto Olguin Mora (internal) |
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Venkata Satya Rajendra Pr Pathuri Bhuvana (internal) |
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Assignment
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Fakultät für Technische Wissenschaften
Institut für Mathematik
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Fakultät für Technische Wissenschaften
Institut für Statistik
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Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
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Categorisation
Project type | Research funding (on request / by call for proposals) |
Funding type | §27 |
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Research Cluster | No research Research Cluster selected |
Gender aspects | Genderrelevance not selected |
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working groups | No working group selected |
Funding
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Kärntner Wirtschaftsförderungsfonds (KWF)
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Cooperations
Research activities
Projects | No related projects |
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Events | No related events |
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