Pages that link to "Item:Q2499481"
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The following pages link to Spectral properties of dynamical systems, model reduction and decompositions (Q2499481):
Displaying 50 items.
- Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows (Q5278040) (← links)
- Nonlinear Model Order Reduction via Dynamic Mode Decomposition (Q5357971) (← links)
- Colour of turbulence (Q5364452) (← links)
- On the stability of a Blasius boundary layer subject to localised suction (Q5378188) (← links)
- Multi-scale proper orthogonal decomposition of complex fluid flows (Q5379062) (← links)
- Discovery of Nonlinear Multiscale Systems: Sampling Strategies and Embeddings (Q5382442) (← links)
- Linearly Recurrent Autoencoder Networks for Learning Dynamics (Q5383200) (← links)
- Data-Driven Identification of Parametric Partial Differential Equations (Q5383204) (← links)
- Koopman-mode decomposition of the cylinder wake (Q5417469) (← links)
- Multilinear Control Systems Theory (Q5853636) (← links)
- Two methods to approximate the Koopman operator with a reservoir computer (Q5858750) (← links)
- Koopman Analysis of Isolated Fronts and Solitons (Q5859787) (← links)
- Modes of Homogeneous Gradient Flows (Q5860347) (← links)
- Residual dynamic mode decomposition: robust and verified Koopmanism (Q5871684) (← links)
- Symmetry-reduced dynamic mode decomposition of near-wall turbulence (Q5872982) (← links)
- On some aspects of the response to stochastic and deterministic forcings (Q5874166) (← links)
- A transfer operator approach to relativistic quantum wavefunction <sup>*</sup> (Q5879388) (← links)
- The linear-time-invariance notion of the Koopman analysis. Part 2. Dynamic Koopman modes, physics interpretations and phenomenological analysis of the prism wake (Q5884983) (← links)
- An Optimized Dynamic Mode Decomposition Model Robust to Multiplicative Noise (Q5887849) (← links)
- Koopman analysis of nonlinear systems with a neural network representation (Q6043737) (← links)
- Multiscale model reduction for incompressible flows (Q6052276) (← links)
- Data-driven probability density forecast for stochastic dynamical systems (Q6054200) (← links)
- On the Approximability of Koopman-Based Operator Lyapunov Equations (Q6057800) (← links)
- Singular Dynamic Mode Decomposition (Q6076402) (← links)
- Symmetry-reduced low-dimensional representation of large-scale dynamics in the asymptotic suction boundary layer (Q6078467) (← links)
- Spectral Properties of Pullback Operators on Vector Bundles of a Dynamical System (Q6084946) (← links)
- Data‐driven identification of the spatiotemporal structure of turbulent flows by streaming dynamic mode decomposition (Q6089589) (← links)
- Deep Koopman model predictive control for enhancing transient stability in power grids (Q6089850) (← links)
- A dynamic mode decomposition based reduced-order model for parameterized time-dependent partial differential equations (Q6101657) (← links)
- A study on data-driven identification and representation of nonlinear dynamical systems with a physics-integrated deep learning approach: Koopman operators and nonlinear normal modes (Q6105292) (← links)
- Quantum process tomography of unitary maps from time-delayed measurements (Q6107749) (← links)
- The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems (Q6108137) (← links)
- Generalizing dynamic mode decomposition: balancing accuracy and expressiveness in Koopman approximations (Q6110261) (← links)
- Parsimony as the ultimate regularizer for physics-informed machine learning (Q6117148) (← links)
- Mathematical imaging and surface processing. Abstracts from the workshop held August 21--27, 2022 (Q6133174) (← links)
- Quantum Mechanics for Closure of Dynamical Systems (Q6150480) (← links)
- Neural dynamic mode decomposition for end-to-end modeling of nonlinear dynamics (Q6166776) (← links)
- The Adaptive Spectral Koopman Method for Dynamical Systems (Q6167521) (← links)
- Learning to Forecast Dynamical Systems from Streaming Data (Q6168204) (← links)
- Data-driven reduced order models using invariant foliations, manifolds and autoencoders (Q6168858) (← links)
- Rigorous data‐driven computation of spectral properties of Koopman operators for dynamical systems (Q6180710) (← links)
- Dynamic mode decomposition: an alternative algorithm for full-rank datasets (Q6185526) (← links)
- Ensemble forecasts in reproducing kernel Hilbert space family (Q6191535) (← links)
- The identification of piecewise non-linear dynamical system without understanding the mechanism (Q6548691) (← links)
- Symbolic regression via neural networks (Q6550761) (← links)
- Koopman analysis of the periodic Korteweg-de Vries equation (Q6551381) (← links)
- Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches (Q6554429) (← links)
- Propagating uncertainty through system dynamics in reproducing kernel Hilbert space (Q6554937) (← links)
- Fast optimal entrainment of limit-cycle oscillators by strong periodic inputs via phase-amplitude reduction and Floquet theory (Q6556969) (← links)
- Randomized dynamic mode decomposition for nonintrusive reduced order modelling (Q6557432) (← links)
