Sølve Eidnes

Orcid: 0000-0002-1002-3543

According to our database1, Sølve Eidnes authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Pseudo-Hamiltonian neural networks for learning partial differential equations.
J. Comput. Phys., March, 2024

2023
Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators.
CoRR, 2023

Pseudo-Hamiltonian system identification.
CoRR, 2023

2022
Port-Hamiltonian Neural Networks with State Dependent Ports.
CoRR, 2022

Data quality issues for vibration sensors: a case study in ferrosilicon production.
Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2022

2021
Linearly implicit structure-preserving schemes for Hamiltonian systems.
J. Comput. Appl. Math., 2021

2020
Linearly Implicit Local and Global Energy-Preserving Methods for PDEs with a Cubic Hamiltonian.
SIAM J. Sci. Comput., 2020

Energy-preserving methods on Riemannian manifolds.
Math. Comput., 2020

Order theory for discrete gradient methods.
CoRR, 2020

2019
Linearly implicit local and global energy-preserving methods for Hamiltonian PDEs.
CoRR, 2019

2018
Dissipative Numerical Schemes on Riemannian Manifolds with Applications to Gradient Flows.
SIAM J. Sci. Comput., 2018

Adaptive energy preserving methods for partial differential equations.
Adv. Comput. Math., 2018

2017
Shape Analysis on Lie Groups and Homogeneous Spaces.
Proceedings of the Geometric Science of Information - Third International Conference, 2017


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