Event: Second status seminar
Master data
| Title: | Second status seminar |
| Description: | The status seminars take place in the scope of the FWF doc.funds doctoralschool M.A.O. during which the doctoral candidates give a short scientificpresentation on their respective research. The purpose of the talks is to maketheir scientific achievements and their research progress visible. Jutta Rath -Associated Primes of Powers of Monomial Ideals |
| Keywords: | colloquium of doctoral school, multiperspective scientific exchange |
| Short title: | |
| City: | Alpen Adria Universität Klagenfurt |
| Country: | Austria |
| Period: | on 07.10.2022 |
| Veranstaltungsstatus: | stattgefunden (Präsenz) |
| Contact e-mail: | - |
| Homepage: | - |
Assignment
| Organisational unit | ||||
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Fakultät für Technische Wissenschaften
Institut für Statistik
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Fakultät für Technische Wissenschaften
Institut für Mathematik
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Categorisation
| Funding type | Other |
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| Subject areas | |
| Research Cluster | No research Research Cluster selected |
| Group of participants |
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| Event focus |
Classification raster of the assigned organisational units:
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| working groups | No working group selected |
Funding
Cooperations
Research activities
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| Publications | No related publications |
| Events | No related events |
| Lectures | No related lectures |
Lectures of the event
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Domination number in Knödel graphs: A recursive approach
Domination number in Knödel graphs: A recursive approach
S. Selkirk |
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Inverse problems in spaces of Radon measures
Inverse problems in spaces of Radon measures
P. Huynh |
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Computing the Edge Expansion of a Graph Using Semidefinite Programming
Computing the Edge Expansion of a Graph Using Semidefinite Programming
M. Siebenhofer |
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Higher order approximation for jump-diffusion SDEs
Higher order approximation for jump-diffusion SDEs
V. Schwarz |
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Stochastic Lagrangian Particle Model
Stochastic Lagrangian Particle Model
I. Rammelmüller |
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A Mixing Method based Branch-and-Bound Solver for QUBO Problems
A Mixing Method based Branch-and-Bound Solver for QUBO Problems
J. Schwiddessen |
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Numerical Methods for Stochastic Differential Equations (with Machine Learning)
Numerical Methods for Stochastic Differential Equations (with Machine Learning)
K. Spendier |
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Hierarchical Multiscale Methods for Inverse Problems
Hierarchical Multiscale Methods for Inverse Problems
T. Wolf |
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Linearization of continuous-time random dynamical systems
Linearization of continuous-time random dynamical systems
I. Vasylieva |
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Associated Primes of Powers of Monomial Ideals
Associated Primes of Powers of Monomial Ideals
J. Rath |
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Strengthening of the semidefinite relaxation for graph coloring problem
Strengthening of the semidefinite relaxation for graph coloring problem
D. Pucher |
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Linear Orderings with several objectives: optimizing using Semidefinite Programming
Linear Orderings with several objectives: optimizing using Semidefinite Programming
D. Puges |