LDMD with Temporally Adaptive Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Qiuqi, Liu, Chang, Yang, Yifei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Localized Dynamic Mode Decomposition with Temporally Adaptive Segmentation
by: Li, Qiuqi, et al.
Published: (2025)
by: Li, Qiuqi, et al.
Published: (2025)
Entropy based lower dimension bounds for finite-time prediction of Dynamic Mode Decomposition algorithms
by: Hauser, Till, et al.
Published: (2025)
by: Hauser, Till, et al.
Published: (2025)
A Dynamical Variable-separation Method for Parameter-dependent Dynamical Systems
by: Chen, Liang, et al.
Published: (2025)
by: Chen, Liang, et al.
Published: (2025)
A Reduced Order Modeling Method with Variable-Separation-Based Domain Decomposition for Parametric Dynamical Systems
by: Ba, Yuming, et al.
Published: (2025)
by: Ba, Yuming, et al.
Published: (2025)
Data-driven optimal prediction with control
by: Katrutsa, Aleksandr, et al.
Published: (2024)
by: Katrutsa, Aleksandr, et al.
Published: (2024)
Derive boundary conditions for holistic discretisations of Burgers' equation
by: Roberts, A. J.
Published: (2001)
by: Roberts, A. J.
Published: (2001)
Holistic projection of initial conditions onto a finite difference approximation
by: Roberts, A. J.
Published: (2001)
by: Roberts, A. J.
Published: (2001)
A holistic finite difference approach models linear dynamics consistently
by: Roberts, A. J.
Published: (2000)
by: Roberts, A. J.
Published: (2000)
Derivative estimation by RKHS regularization for learning dynamics from time-series data
by: Guo, Hailong, et al.
Published: (2025)
by: Guo, Hailong, et al.
Published: (2025)
A data driven Koopman-Schur decomposition for computational analysis of nonlinear dynamics
by: Drmač, Zlatko, et al.
Published: (2023)
by: Drmač, Zlatko, et al.
Published: (2023)
Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator
by: Gallos, Ioannis K., et al.
Published: (2023)
by: Gallos, Ioannis K., et al.
Published: (2023)
Consistent Parametric Model Order Reduction by Matrix Interpolation for Varying Underlying Meshes
by: Resch-Schopper, Sebastian, et al.
Published: (2025)
by: Resch-Schopper, Sebastian, et al.
Published: (2025)
On an Interaction Model of General Language Change
by: Fuchs, Alfred, et al.
Published: (2024)
by: Fuchs, Alfred, et al.
Published: (2024)
Invariant Manifolds of Discrete-time Dynamical Systems with Nonlinear Exosystems via Hybrid Physics-Informed Neural Networks
by: Patsatzis, Dimitrios G., et al.
Published: (2025)
by: Patsatzis, Dimitrios G., et al.
Published: (2025)
From Features to States: Data-Driven Selection of Measured State Variables via RFE-DMDc
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Transformer-based Koopman Autoencoder for Linearizing Fisher's Equation
by: Rana, Kanav Singh, et al.
Published: (2024)
by: Rana, Kanav Singh, et al.
Published: (2024)
Error Estimation and Stopping Criteria for Krylov-Based Model Order Reduction in Acoustics
by: Hu, Siyang, et al.
Published: (2024)
by: Hu, Siyang, et al.
Published: (2024)
Enforcing conservation laws and dissipation inequalities numerically via auxiliary variables
by: Andrews, Boris D., et al.
Published: (2024)
by: Andrews, Boris D., et al.
Published: (2024)
An efficient data-driven solver for Fokker-Planck equations: algorithm and analysis
by: Dobson, Matthew, et al.
Published: (2019)
by: Dobson, Matthew, et al.
Published: (2019)
Cusp bifurcations: numerical detection via two-parameter continuation and computer-assisted proofs of existence
by: Lessard, Jean-Philippe, et al.
Published: (2024)
by: Lessard, Jean-Philippe, et al.
Published: (2024)
A probabilistic approach to drift estimation from stochastic data
by: Das, Suddhasattwa
Published: (2024)
by: Das, Suddhasattwa
Published: (2024)
Mitigating distribution shift in machine learning-augmented hybrid simulation
by: Zhao, Jiaxi, et al.
Published: (2024)
by: Zhao, Jiaxi, et al.
Published: (2024)
Learning Iterated Function Systems from Time Series of Partial Observations
by: Gibson, Emilia, et al.
Published: (2025)
by: Gibson, Emilia, et al.
Published: (2025)
A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs
by: Patsatzis, Dimitrios G., et al.
Published: (2024)
by: Patsatzis, Dimitrios G., et al.
Published: (2024)
Global analysis of regulatory network dynamics: equilibria and saddle-node bifurcations
by: Kepley, Shane, et al.
Published: (2022)
by: Kepley, Shane, et al.
Published: (2022)
Inconsistency Removal of Reduced Bases in Parametric Model Order Reduction by Matrix Interpolation using Adaptive Sampling and Clustering
by: Resch-Schopper, Sebastian, et al.
Published: (2024)
by: Resch-Schopper, Sebastian, et al.
Published: (2024)
Conservative and dissipative discretisations of multi-conservative ODEs and GENERIC systems
by: Andrews, Boris D., et al.
Published: (2025)
by: Andrews, Boris D., et al.
Published: (2025)
Next Generation Equation-Free Multiscale Modelling of Crowd Dynamics via Machine Learning
by: Alvarez, Hector Vargas, et al.
Published: (2025)
by: Alvarez, Hector Vargas, et al.
Published: (2025)
Data-driven discovery of quasiperiodically driven dynamics
by: Das, Suddhasattwa, et al.
Published: (2023)
by: Das, Suddhasattwa, et al.
Published: (2023)
On Erlang mixture approximations for differential equations with distributed time delays
by: Ritschel, Tobias K. S.
Published: (2025)
by: Ritschel, Tobias K. S.
Published: (2025)
Carleman-Fourier linearization of nonlinear real dynamical systems with quasi-periodic fields
by: Motee, Nader, et al.
Published: (2025)
by: Motee, Nader, et al.
Published: (2025)
Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces
by: Ishikawa, Isao, et al.
Published: (2024)
by: Ishikawa, Isao, et al.
Published: (2024)
Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces
by: Boullé, Nicolas, et al.
Published: (2025)
by: Boullé, Nicolas, et al.
Published: (2025)
Investigating Ocean Circulation Dynamics Through Data Assimilation: A Mathematical Study Using the Stommel Box Model with Rapid Oscillatory Forcings
by: Smith, Nathaniel, et al.
Published: (2024)
by: Smith, Nathaniel, et al.
Published: (2024)
Koopman for stochastic dynamics: error bounds for kernel extended dynamic mode decomposition
by: Hertel, Maximiliano, et al.
Published: (2025)
by: Hertel, Maximiliano, et al.
Published: (2025)
Extracting coherent sets in aperiodically driven flows from generators of Mather semigroups
by: Chemnitz, Robin, et al.
Published: (2024)
by: Chemnitz, Robin, et al.
Published: (2024)
Spectra of evolution operators of a class of neutral renewal equations: theoretical and numerical aspects
by: Breda, Dimitri, et al.
Published: (2023)
by: Breda, Dimitri, et al.
Published: (2023)
$\mathcal{H}_\infty$ model order reduction for quadratic output systems
by: Hillebrecht, Birgit, et al.
Published: (2025)
by: Hillebrecht, Birgit, et al.
Published: (2025)
On Higher Order Drift and Diffusion Estimates for Stochastic SINDy
by: Wanner, Mathias, et al.
Published: (2023)
by: Wanner, Mathias, et al.
Published: (2023)
Pseudo-Hamiltonian system identification
by: Holmsen, Sigurd, et al.
Published: (2023)
by: Holmsen, Sigurd, et al.
Published: (2023)
Similar Items
-
Localized Dynamic Mode Decomposition with Temporally Adaptive Segmentation
by: Li, Qiuqi, et al.
Published: (2025) -
Entropy based lower dimension bounds for finite-time prediction of Dynamic Mode Decomposition algorithms
by: Hauser, Till, et al.
Published: (2025) -
A Dynamical Variable-separation Method for Parameter-dependent Dynamical Systems
by: Chen, Liang, et al.
Published: (2025) -
A Reduced Order Modeling Method with Variable-Separation-Based Domain Decomposition for Parametric Dynamical Systems
by: Ba, Yuming, et al.
Published: (2025) -
Data-driven optimal prediction with control
by: Katrutsa, Aleksandr, et al.
Published: (2024)