Pages that link to "Item:Q3550465"

The following pages link to Spectral analysis of nonlinear flows (Q3550465):

Displaying 50 items.

• Spiral-wave dynamics in excitable media: insights from dynamic mode decomposition (Q6058687) (← links)
• Interpolatory input and output projections for flow control (Q6077957) (← links)
• Regression-Based Projection for Learning Mori–Zwanzig Operators (Q6084965) (← links)
• The flow around a stepped cylinder with turbulent wake and stable shear layer (Q6088585) (← links)
• Data‐driven identification of the spatiotemporal structure of turbulent flows by streaming dynamic mode decomposition (Q6089589) (← links)
• Characterization of energy transfer and triadic interactions of coherent structures in turbulent wakes (Q6096865) (← 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)
• 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)
• Active Operator Inference for Learning Low-Dimensional Dynamical-System Models from Noisy Data (Q6113944) (← links)
• Parsimony as the ultimate regularizer for physics-informed machine learning (Q6117148) (← links)
• Probabilistic forecast of nonlinear dynamical systems with uncertainty quantification (Q6117709) (← links)
• Data-driven inference of low order representations of observable dynamics for an airfoil model (Q6117712) (← links)
• Phase-amplitude coordinate-based neural networks for inferring oscillatory dynamics (Q6123359) (← links)
• Operator inference with roll outs for learning reduced models from scarce and low-quality data (Q6135185) (← links)
• Dynamic mode decomposition of deformation fields in elastic and elastic-plastic solids (Q6141123) (← links)
• Identifying invariant solutions of wall-bounded three-dimensional shear flows using robust adjoint-based variational techniques (Q6141377) (← links)
• Capturing the edge of chaos as a spectral submanifold in pipe flows (Q6146275) (← links)
• Quantum Mechanics for Closure of Dynamical Systems (Q6150480) (← links)
• A data-driven vertical stabilization system for the ITER tokamak based on dynamic mode decomposition (Q6152339) (← links)
• Stable Rank-Adaptive Dynamically Orthogonal Runge–Kutta Schemes (Q6154958) (← links)
• Data driven discovery of systems of ordinary differential equations using nonconvex multitask learning (Q6161211) (← 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)
• A Reduced Order Modeling Framework for Strongly Perturbed Nonlinear Dynamical Systems Near Arbitrary Trajectory Sets (Q6168207) (← links)
• Reduced-order variational mode decomposition to reveal transient and non-stationary dynamics in fluid flows (Q6169298) (← links)
• Koopman Operator Inspired Nonlinear System Identification (Q6171206) (← links)
• Bayesian system ID: optimal management of parameter, model, and measurement uncertainty (Q6174350) (← links)
• Causality analysis of large-scale structures in the flow around a wall-mounted square cylinder (Q6174551) (← links)
• Rigorous data‐driven computation of spectral properties of Koopman operators for dynamical systems (Q6180710) (← links)
• Feature engineering with regularity structures (Q6184277) (← links)
• Active-learning-driven surrogate modeling for efficient simulation of parametric nonlinear systems (Q6185211) (← links)
• Dynamic mode decomposition: an alternative algorithm for full-rank datasets (Q6185526) (← links)
• Nonlinear model reduction for slow-fast stochastic systems near unknown invariant manifolds (Q6188980) (← links)
• Nonlinear set‐membership state estimation based on the Koopman operator (Q6190317) (← links)
• Ensemble forecasts in reproducing kernel Hilbert space family (Q6191535) (← links)
• Adaptive symplectic model order reduction of parametric particle-based Vlasov–Poisson equation (Q6203459) (← links)
• Spectral proper orthogonal decomposition of harmonically forced turbulent flows (Q6496919) (← links)
• A model reduction method for parametric dynamical systems defined on complex geometries (Q6498464) (← links)
• A Koopman-Takens theorem: linear least squares prediction of nonlinear time series (Q6536643) (← links)
• The identification of piecewise non-linear dynamical system without understanding the mechanism (Q6548691) (← links)
• Koopman analysis of the periodic Korteweg-de Vries equation (Q6551381) (← links)
• Learning physics-based reduced-order models from data using nonlinear manifolds (Q6552123) (← links)
• Model reduction for nonlinear multiscale parabolic problems using dynamic mode decomposition (Q6553505) (← links)
• A global eigenvalue reassignment method for the stabilization of nonlinear reduced-order models (Q6553945) (← links)
• Stabilization of linear time-varying reduced-order models: a feedback controller approach (Q6554354) (← links)
• Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches (Q6554429) (← links)
• Generalized quadratic embeddings for nonlinear dynamics using deep learning (Q6554923) (← links)