Pages that link to "Item:Q1723113"

The following pages link to Applied Koopman theory for partial differential equations and data-driven modeling of spatio-temporal systems (Q1723113):

Displaying 27 items.

• A kernel-based method for data-driven Koopman spectral analysis (Q317185) (← links)
• Koopman operator framework for time series modeling and analysis (Q2022703) (← links)
• A toolbox of equation-free functions in Matlab/Octave for efficient system level simulation (Q2041530) (← links)
• Poincaré maps for multiscale physics discovery and nonlinear Floquet theory (Q2115543) (← links)
• System identification through Lipschitz regularized deep neural networks (Q2132640) (← links)
• Extended dynamic mode decomposition for inhomogeneous problems (Q2132641) (← links)
• Deep learning nonlinear multiscale dynamic problems using Koopman operator (Q2133546) (← links)
• Data-driven eigensolution analysis based on a spatio-temporal Koopman decomposition, with applications to high-order methods (Q2136484) (← links)
• Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs (Q5000884) (← links)
• Deep learning models for global coordinate transformations that linearise PDEs (Q5014841) (← links)
• Modern Koopman Theory for Dynamical Systems (Q5075835) (← links)
• Time-Delay Observables for Koopman: Theory and Applications (Q5109371) (← links)
• Spectral analysis of the Koopman operator for partial differential equations (Q5140900) (← links)
• Discovery of Nonlinear Multiscale Systems: Sampling Strategies and Embeddings (Q5382442) (← links)
• Koopman Analysis of Isolated Fronts and Solitons (Q5859787) (← links)
• DRIPS: a framework for dimension reduction and interpolation in parameter space (Q6048419) (← links)
• Spiral-wave dynamics in excitable media: insights from dynamic mode decomposition (Q6058687) (← links)
• Parsimony as the ultimate regularizer for physics-informed machine learning (Q6117148) (← links)
• The Adaptive Spectral Koopman Method for Dynamical Systems (Q6167521) (← links)
• Koopman analysis of the periodic Korteweg-de Vries equation (Q6551381) (← links)
• Model reduction for nonlinear multiscale parabolic problems using dynamic mode decomposition (Q6553505) (← links)
• Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches (Q6554429) (← links)
• Koopman spectral analysis of elementary cellular automata (Q6557723) (← links)
• Deep learning enhanced dynamic mode decomposition (Q6560590) (← links)
• Time-series forecasting using manifold learning, radial basis function interpolation, and geometric harmonics (Q6567586) (← links)
• The sparse-grid-based adaptive spectral Koopman method (Q6623708) (← links)
• Symbolic extended dynamic mode decomposition (Q6663662) (← links)