Pages that link to "Item:Q2022704"
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The following pages link to Koopman operator spectrum for random dynamical systems (Q2022704):
Displaying 27 items.
- Comparison of systems with complex behavior (Q1888050) (← links)
- A random dynamical systems perspective on isochronicity for stochastic oscillations (Q2050072) (← links)
- Dynamic mode decomposition for continuous time systems with the Liouville operator (Q2062874) (← links)
- Bi-additive \(\sigma \)-random operator inequalities and random quasi-\(*\)-multipliers on MB-algebras (Q2119812) (← links)
- A Koopman framework for rare event simulation in stochastic differential equations (Q2133784) (← links)
- Correcting noisy dynamic mode decomposition with Kalman filters (Q2137999) (← links)
- Quantitative comparison of the mean-return-time phase and the stochastic asymptotic phase for noisy oscillators (Q2145423) (← links)
- Model and data reduction for data assimilation: particle filters employing projected forecasts and data with application to a shallow water model (Q2147287) (← links)
- A preconditioning technique for Krylov subspace methods in RKHSs (Q2161048) (← links)
- Krylov subspace methods for estimating operator-vector multiplications in Hilbert spaces (Q2231599) (← links)
- On Koopman and Perron-Frobenius operators of random dynamical systems (Q3467489) (← links)
- Koopman Operator Family Spectrum for Nonautonomous Systems (Q4562415) (← links)
- Numerical methods to evaluate Koopman matrix from system equations* (Q5048531) (← links)
- (Q5053296) (← links)
- Modern Koopman Theory for Dynamical Systems (Q5075835) (← links)
- Robust Approximation of the Stochastic Koopman Operator (Q5095756) (← links)
- Approximative Policy Iteration for Exit Time Feedback Control Problems Driven by Stochastic Differential Equations using Tensor Train Format (Q5865245) (← links)
- Data-driven probability density forecast for stochastic dynamical systems (Q6054200) (← links)
- Auxiliary functions as Koopman observables: data-driven analysis of dynamical systems via polynomial optimization (Q6066022) (← links)
- Redundant basis interpretation of Doi-Peliti method and an application (Q6084596) (← links)
- The Mori-Zwanzig formulation of deep learning (Q6162752) (← links)
- Mean resolvent operator of a statistically steady flow (Q6166727) (← links)
- Learning to Forecast Dynamical Systems from Streaming Data (Q6168204) (← links)
- A definition of the asymptotic phase for quantum nonlinear oscillators from the Koopman operator viewpoint (Q6565175) (← links)
- Koopman neural operator as a mesh-free solver of non-linear partial differential equations (Q6572200) (← links)
- Model reduction of dynamical systems with a novel data-driven approach: the RC-HAVOK algorithm (Q6604859) (← links)
- Embedding stochastic differential equations into neural networks via dual processes (Q6607304) (← links)
