Sølve Eidnes
Sølve Eidnes
Research Scientist, SINTEF
Verified email at
Cited by
Cited by
Linearly implicit structure-preserving schemes for Hamiltonian systems
S Eidnes, L Li, S Sato
Journal of Computational and Applied Mathematics 387, 112489, 2021
Dissipative numerical schemes on Riemannian manifolds with applications to gradient flows
E Celledoni, S Eidnes, B Owren, T Ringholm
SIAM Journal on Scientific Computing 40 (6), A3789-A3806, 2018
Linearly implicit local and global energy-preserving methods for PDEs with a cubic Hamiltonian
S Eidnes, L Li
SIAM Journal on Scientific Computing 42 (5), A2865-A2888, 2020
Adaptive energy preserving methods for partial differential equations
S Eidnes, B Owren, T Ringholm
Advances in Computational Mathematics 44, 815-839, 2018
Energy-preserving methods on Riemannian manifolds
E Celledoni, S Eidnes, B Owren, T Ringholm
Mathematics of Computation 89 (322), 699-716, 2020
Shape analysis on homogeneous spaces: a generalised SRVT framework
E Celledoni, S Eidnes, A Schmeding
Computation and Combinatorics in Dynamics, Stochastics and Control: The Abel …, 2018
Shape analysis on Lie groups and homogeneous spaces
E Celledoni, S Eidnes, M Eslitzbichler, A Schmeding
Geometric Science of Information: Third International Conference, GSI 2017 …, 2017
Pseudo-Hamiltonian neural networks with state-dependent external forces
S Eidnes, AJ Stasik, C Sterud, E Bøhn, S Riemer-Sørensen
Physica D: Nonlinear Phenomena 446, 133673, 2023
Order theory for discrete gradient methods
S Eidnes
BIT Numerical Mathematics 62 (4), 1207-1255, 2022
Pseudo-Hamiltonian system identification
S Holmsen, S Eidnes, S Riemer-Sørensen
arXiv preprint arXiv:2305.06920, 2023
Pseudo-Hamiltonian neural networks for learning partial differential equations
S Eidnes, KO Lye
arXiv preprint arXiv:2304.14374, 2023
Application of Optimization Algorithm on Parameters of an Empirical VIV Prediction Tool
D Yin, J Wu, H Lie, J Jin, E Passano, S Sævik, S Eidnes, G Grytoyr, ...
International Conference on Offshore Mechanics and Arctic Engineering 85925 …, 2022
Integral preserving numerical methods on moving grids
S Eidnes
Institutt for matematiske fag, 2013
Analysis of full-scale riser responses in field conditions based on Gaussian mixture model
J Wu, S Eidnes, J Jin, H Lie, D Yin, E Passano, S Sævik, ...
Journal of Fluids and Structures 116, 103793, 2023
Data quality issues for vibration sensors: a case study in ferrosilicon production
M Waszak, T Moen, S Eidnes, A Stasik, A Hansen, G Bouquet, A Pultier, ...
Proceedings of the 2nd International Workshop on Software Engineering and AI …, 2022
A Hybrid Digital Twin for Optimal Si-Production
K Linnestad, K Hildal, LK Jakobsson, S Eidnes, V Tjessem, EL Bjørnstad, ...
Available at SSRN 4121131, 2022
Invariant-preserving integrators for differential equations
S Eidnes
NTNU, 2020
Energy preserving moving mesh methods applied to the BBM equation
S Eidnes, T Ringholm
arXiv preprint arXiv:1710.01223, 2017
Numerical integrators for learning dynamical systems from noisy data
H Noren, S Eidnes, E Celledoni
The Symbiosis of Deep Learning and Differential Equations II, 0
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