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Christian Kuehn (1981-)

Mathematiker

Name	Christian Kuehn
Zeit	1981- (Lebensdaten)
Ort	Österreich
Geschlecht	männlich
Beruf	Mathematiker (charakteristischer Beruf)
Variante	Christian Kühn
Beziehung	Institut für Analysis und Scientific Computing (Wien) Technische Universität München. Fakultät für Mathematik (2016-) Technische Universität Hamburg Technische Universität Hamburg. Institut für Mathematik
Weitere Angaben	2008-2010: PhD in Applied Mathematics - Cornell University, United States Wissenschaftlicher Mitarbeiter, kurzzeitig u.a. am Institut für Mathematik, Techn. Univ. Hamburg
Quelle	Homepage: http://www.asc.tuwien.ac.at/~ckuehn/ (Stand: 31.03.2015)
Datensatztyp	Person
GND-Nummer	106909563X
Datensatz-ID	106909563X
Beteiligt an alle anzeigen Blowing-Up Asymptotically Autonomous Planar Vector Fields: Infinite Delay Equations and Invariant Manifolds Stochastic differential system with one-point coupling and applications to climate modelling Polyadic Opinion Formation: The Adaptive Voter Model on a Hypergraph Geometric Blow-Up for Folded Limit Cycle Manifolds in Three Time-Scale Systems Entry–Exit Functions in Fast–Slow Systems with Intersecting Eigenvalues Center manifolds for rough partial differential equations Dynamical Systems on Large Networks and Their Limits The influence of a transport process on the epidemic threshold Balancing Quarantine and Self-Distancing Measures in Adaptive Epidemic Networks Stability, Bifurcations and Explicit Solutions in Geophysical Fluid Models with Simplified Backscatter A geometric analysis of the SIRS epidemiological model on a homogeneous network Random attractors via pathwise mild solutions for stochastic parabolic evolution equations On the dynamics of stochastic heat equations Random attractors via pathwise mild solutions for stochastic parabolic evolution equations Random attractors for stochastic partly dissipative systems Sample Paths Estimates for Stochastic Fast-Slow Systems Driven by Fractional Brownian Motion Random attractors for stochastic partly dissipative systems Sample Paths Estimates for Stochastic Fast-Slow Systems Driven by Fractional Brownian Motion A gradient flow formulation for the stochastic Amari neural field model Tracking particles in flows near invariant manifolds via balance functions Spectral theory for Schrödinger operators with δ-interactions supported on curves in ℝ³ Multiple Time Scale Dynamics

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Katalog der Deutschen Nationalbibliothek

Christian Kuehn (1981-)

Blowing-Up Asymptotically Autonomous Planar Vector Fields: Infinite Delay Equations and Invariant Manifolds

Stochastic differential system with one-point coupling and applications to climate modelling

Polyadic Opinion Formation: The Adaptive Voter Model on a Hypergraph

Geometric Blow-Up for Folded Limit Cycle Manifolds in Three Time-Scale Systems

Entry–Exit Functions in Fast–Slow Systems with Intersecting Eigenvalues

Center manifolds for rough partial differential equations

Dynamical Systems on Large Networks and Their Limits

The influence of a transport process on the epidemic threshold

Balancing Quarantine and Self-Distancing Measures in Adaptive Epidemic Networks

Stability, Bifurcations and Explicit Solutions in Geophysical Fluid Models with Simplified Backscatter

A geometric analysis of the SIRS epidemiological model on a homogeneous network

Random attractors via pathwise mild solutions for stochastic parabolic evolution equations

On the dynamics of stochastic heat equations

Random attractors via pathwise mild solutions for stochastic parabolic evolution equations

Random attractors for stochastic partly dissipative systems

Sample Paths Estimates for Stochastic Fast-Slow Systems Driven by Fractional Brownian Motion

Random attractors for stochastic partly dissipative systems

Sample Paths Estimates for Stochastic Fast-Slow Systems Driven by Fractional Brownian Motion

A gradient flow formulation for the stochastic Amari neural field model

Tracking particles in flows near invariant manifolds via balance functions

Spectral theory for Schrödinger operators with δ-interactions supported on curves in ℝ³

Multiple Time Scale Dynamics