Obserwuj
Christian Offen
Tytuł
Cytowane przez
Cytowane przez
Rok
Bifurcation of solutions to Hamiltonian boundary value problems
RI McLachlan, C Offen
Nonlinearity, 2895–2927, 2018
172018
Symplectic integration of learned Hamiltonian systems
C Offen, S Ober-Blöbaum
Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (1), 013122, 2022
112022
Preservation of bifurcations of Hamiltonian boundary value problems under discretisation
RI McLachlan, C Offen
Foundations of Computational Mathematics 20 (6), 1363-1400, 2020
82020
Hamiltonian boundary value problems, conformal symplectic symmetries, and conjugate loci
RI McLachlan, C Offen
New Zealand Journal of Mathematics 48, 83-99, 2018
82018
Symplectic integration of boundary value problems
RI McLachlan, C Offen
Numerical Algorithms, 2018
72018
Learning ODE models with qualitative structure using Gaussian processes
S Ridderbusch, C Offen, S Ober-Blöbaum, P Goulart
2021 60th IEEE Conference on Decision and Control (CDC), 2896-2896, 2021
52021
Detection of high codimensional bifurcations in variational PDEs
LM Kreusser, RI McLachlan, C Offen
Nonlinearity 33 (5), 2335, 2020
52020
Preservation of bifurcations of Hamiltonian boundary value problems under discretisation (2018)
RI McLachlan, C Offen
URL https://arxiv. org/abs, 1804
51804
Symplectic integration of PDEs using Clebsch variables
RI McLachlan, C Offen, BK Tapley
arXiv preprint arXiv:1810.01627, 2018
42018
Analysis of Hamiltonian boundary value problems and symplectic integration: a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy …
C Offen
Massey University, 2020
32020
Variational learning of Euler–Lagrange dynamics from data
S Ober-Blöbaum, C Offen
Journal of Computational and Applied Mathematics 421, 114780, 2023
22023
Backward error analysis for conjugate symplectic methods
RI McLachlan, C Offen
arXiv preprint arXiv:2201.03911, 2022
22022
Variational integration of learned dynamical systems
S Ober-Blöbaum, C Offen
arXiv preprint arXiv:2112.12619, 2021
22021
Efficient time stepping for numerical integration using reinforcement learning
M Dellnitz, E Hüllermeier, M Lücke, S Ober-Blöbaum, C Offen, S Peitz, ...
arXiv preprint arXiv:2104.03562, 2021
22021
Bifurcation preserving discretisations of optimal control problems
C Offen, S Ober-Blöbaum
IFAC-PapersOnLine 54 (19), 334-339, 2021
22021
Backward error analysis for variational discretisations of partial differential equations
RI McLachlan, C Offen
arXiv preprint arXiv:2006.14172, 2020
22020
Analysis of Hamiltonian boundary value problems and symplectic integration
C Offen
doctoral thesis (Massey University, 2020), 2020
12020
Local intersections of Lagrangian manifolds correspond to catastrophe theory
C Offen
arXiv preprint arXiv:1811.10165, 2018
12018
Hamiltonian Neural Networks with Automatic Symmetry Detection
E Dierkes, C Offen, S Ober-Blöbaum, K Flaßkamp
arXiv preprint arXiv:2301.07928, 2023
2023
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Y Lishkova, P Scherer, S Ridderbusch, M Jamnik, P Liò, S Ober-Blöbaum, ...
arXiv preprint arXiv:2211.10830, 2022
2022
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