The following pages link to Applied Koopmanism (Q2944668):
Displaying 50 items.
- On sample-based computations of invariant sets (Q2274992) (← links)
- Koopman operator-based model reduction for switched-system control of PDEs (Q2280764) (← links)
- Data-driven spectral analysis of the Koopman operator (Q2300750) (← links)
- Delay-coordinate maps and the spectra of Koopman operators (Q2315148) (← links)
- Data-driven spectral decomposition and forecasting of ergodic dynamical systems (Q2325539) (← links)
- Spatiotemporal pattern extraction by spectral analysis of vector-valued observables (Q2327837) (← links)
- Polar rotation angle identifies elliptic islands in unsteady dynamical systems (Q2357456) (← links)
- Dimension reduction for systems with slow relaxation. In memory of Leo P. Kadanoff (Q2403243) (← links)
- Improved approximation of phase-space densities on triangulated domains using discrete flow mapping with \(p\)-refinement (Q2412743) (← links)
- Spectral complexity of directed graphs and application to structural decomposition (Q2424711) (← links)
- Contraction theory on Riemannian manifolds (Q2446818) (← links)
- Detecting isolated spectrum of transfer and Koopman operators with Fourier analytic tools (Q2513917) (← links)
- Nonlinear observability via Koopman analysis: characterizing the role of symmetry (Q2663863) (← links)
- Towards global optimal control via Koopman lifts (Q2665634) (← links)
- Extended dynamic mode decomposition for two paradigms of non-linear dynamical systems (Q2684647) (← links)
- Dynamic mode decomposition with control (Q2790855) (← links)
- Global isochrons and phase sensitivity of bursting neurons (Q2876673) (← links)
- Optimal mode decomposition for unsteady flows (Q2878412) (← links)
- A method to construct reduced‐order parameter‐varying models (Q2965285) (← links)
- Manifold learning for organizing unstructured sets of process observations (Q3303828) (← links)
- <i>A priori</i> estimation of memory effects in reduced-order models of nonlinear systems using the Mori–Zwanzig formalism (Q4557142) (← links)
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations (Q4558167) (← links)
- Generalizing Koopman Theory to Allow for Inputs and Control (Q4571161) (← links)
- Koopman analysis of the long-term evolution in a turbulent convection cell (Q4582914) (← links)
- Ergodic theory and visualization. II. Fourier mesochronic plots visualize (quasi)periodic sets (Q4591666) (← links)
- Identifying finite-time coherent sets from limited quantities of Lagrangian data (Q4591745) (← links)
- Thirty years of turnstiles and transport (Q4591749) (← links)
- Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator (Q4601202) (← links)
- Optimized Sampling for Multiscale Dynamics (Q4627447) (← links)
- Phase-amplitude reduction of transient dynamics far from attractors for limit-cycling systems (Q4642546) (← links)
- Data-adaptive harmonic spectra and multilayer Stuart-Landau models (Q4644288) (← links)
- Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator (Q4644309) (← links)
- Global computation of phase-amplitude reduction for limit-cycle dynamics (Q4683666) (← links)
- On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions (Q4686615) (← links)
- Schrödinger–Koopman quasienergy states of quantum systems driven by classical flow (Q4689488) (← links)
- Quasi-periodic intermittency in oscillating cylinder flow (Q4972372) (← links)
- Data-Driven Model Predictive Control using Interpolated Koopman Generators (Q4983502) (← links)
- On the Approximation of Koopman Spectra of Measure-Preserving Flows (Q4983529) (← links)
- On explaining the surprising success of reservoir computing forecaster of chaos? The universal machine learning dynamical system with contrast to VAR and DMD (Q4983648) (← links)
- Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces (Q4987934) (← links)
- Universal Neural Field Computation (Q4992856) (← links)
- On the concept of dynamical reduction: the case of coupled oscillators (Q4993451) (← links)
- On Koopman mode decomposition and tensor component analysis (Q4993697) (← links)
- (Q4998931) (← links)
- Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs (Q5000884) (← links)
- A Direction Preserving Discretization for Computing Phase-Space Densities (Q5005007) (← links)
- Time-Varying Autoregression with Low-Rank Tensors (Q5016785) (← links)
- An Adaptive Phase-Amplitude Reduction Framework without $\mathcal{O}(\epsilon)$ Constraints on Inputs (Q5024518) (← links)
- Koopman Operator, Geometry, and Learning of Dynamical Systems (Q5029862) (← links)
- Numerical methods to evaluate Koopman matrix from system equations* (Q5048531) (← links)
