Pages that link to "Item:Q2940735"

The following pages link to Compressive Sensing and Low-Rank Libraries for Classification of Bifurcation Regimes in Nonlinear Dynamical Systems (Q2940735):

Displaying 33 items.

• Discovering governing equations from data by sparse identification of nonlinear dynamical systems (Q137310) (← links)
• Compressed sensing and dynamic mode decomposition (Q317178) (← links)
• Sparse + low-energy decomposition for viscous conservation laws (Q729181) (← links)
• An improved criterion to select dominant modes from dynamic mode decomposition (Q1672141) (← links)
• Sparsity enabled cluster reduced-order models for control (Q1683852) (← links)
• Hidden physics models: machine learning of nonlinear partial differential equations (Q1699464) (← links)
• Applied Koopman theory for partial differential equations and data-driven modeling of spatio-temporal systems (Q1723113) (← links)
• Reconstruction of three-dimensional flow fields from two-dimensional data (Q2122736) (← links)
• An adaptive data-driven reduced order model based on higher order dynamic mode decomposition (Q2149050) (← links)
• A localized reduced-order modeling approach for PDEs with bifurcating solutions (Q2173590) (← links)
• A comparison of reduced-order modeling approaches using artificial neural networks for PDEs with bifurcating solutions (Q2672190) (← links)
• Classification of spatiotemporal data via asynchronous sparse sampling: application to flow around a cylinder (Q2806428) (← links)
• Multiresolution dynamic mode decomposition (Q2808171) (← links)
• Sparse sensor placement optimization for classification (Q2829445) (← links)
• Dynamic mode decomposition for financial trading strategies (Q4554232) (← links)
• Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations (Q4558167) (← links)
• Online Interpolation Point Refinement for Reduced-Order Models using a Genetic Algorithm (Q4603498) (← links)
• Optimized Sampling for Multiscale Dynamics (Q4627447) (← links)
• Leveraging Sparsity and Compressive Sensing for Reduced Order Modeling (Q4637167) (← links)
• Learning partial differential equations via data discovery and sparse optimization (Q4646838) (← links)
• Modern Koopman Theory for Dynamical Systems (Q5075835) (← links)
• A Reduced Order Modeling Technique to Study Bifurcating Phenomena: Application to the Gross--Pitaevskii Equation (Q5131972) (← links)
• Sparse identification of nonlinear dynamics for model predictive control in the low-data limit (Q5243602) (← links)
• On the Compressive Spectral Method (Q5251793) (← links)
• An $L^1$ Penalty Method for General Obstacle Problems (Q5264051) (← links)
• Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows (Q5278040) (← links)
• Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models (Q5349320) (← links)
• A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation (Q6038828) (← links)
• A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems (Q6076407) (← links)
• Data-driven reduced order models using invariant foliations, manifolds and autoencoders (Q6168858) (← links)
• The spatiotemporal coupling in delay-coordinates dynamic mode decomposition (Q6571520) (← links)
• Regularized least absolute deviation-based sparse identification of dynamical systems (Q6571784) (← links)
• Machine learning methods for reduced order modeling (Q6629175) (← links)