Pages that link to "Item:Q317178"

The following pages link to Compressed sensing and dynamic mode decomposition (Q317178):

Displaying 34 items.

• Data-driven model reduction and transfer operator approximation (Q722011) (← links)
• An improved criterion to select dominant modes from dynamic mode decomposition (Q1672141) (← links)
• Sparsity enabled cluster reduced-order models for control (Q1683852) (← links)
• Randomized model order reduction (Q2000522) (← links)
• Koopman operator framework for time series modeling and analysis (Q2022703) (← links)
• Randomized linear algebra for model reduction. II: Minimal residual methods and dictionary-based approximation (Q2027783) (← links)
• Non-intrusive data-driven model reduction for differential-algebraic equations derived from lifting transformations (Q2072439) (← links)
• Bootstrapping the operator norm in high dimensions: error estimation for covariance matrices and sketching (Q2108486) (← links)
• A reduced order method for nonlinear parameterized partial differential equations using dynamic mode decomposition coupled with \(k\)-nearest-neighbors regression (Q2133585) (← links)
• Correcting noisy dynamic mode decomposition with Kalman filters (Q2137999) (← links)
• Efficient sensing of von Kármán vortices using compressive sensing (Q2245408) (← links)
• Sparse feature map-based Markov models for nonlinear fluid flows (Q2331856) (← links)
• (Q3193577) (← links)
• Dynamic mode decomposition for financial trading strategies (Q4554232) (← links)
• Time-Frequency Energy Distributions Meet Compressed Sensing (Q4570286) (← links)
• Generalizing Koopman Theory to Allow for Inputs and Control (Q4571161) (← links)
• Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator (Q4601202) (← links)
• Optimized Sampling for Multiscale Dynamics (Q4627447) (← links)
• Data-driven resolvent analysis (Q4989070) (← links)
• Modern Koopman Theory for Dynamical Systems (Q5075835) (← links)
• Prediction Accuracy of Dynamic Mode Decomposition (Q5112644) (← links)
• Randomized Dynamic Mode Decomposition (Q5207530) (← links)
• Scalable Extended Dynamic Mode Decomposition Using Random Kernel Approximation (Q5230606) (← links)
• Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows (Q5278040) (← links)
• Nonlinear Model Order Reduction via Dynamic Mode Decomposition (Q5357971) (← links)
• Data-Driven Identification of Parametric Partial Differential Equations (Q5383204) (← links)
• Tracking Distributed Parameters System Dynamics with Recursive Dynamic Mode Decomposition with Control (Q5887844) (← links)
• Higher Order Extended Dynamic Mode Decomposition Based on the Structured Total Least Squares (Q6039255) (← links)
• Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference (Q6175122) (← links)
• A model reduction method for parametric dynamical systems defined on complex geometries (Q6498464) (← links)
• Efficient representation of turbulent flows using data-enriched finite elements (Q6553490) (← links)
• The spatiotemporal coupling in delay-coordinates dynamic mode decomposition (Q6571520) (← links)
• Machine learning methods for reduced order modeling (Q6629175) (← links)
• Dynamics-preserving compression for modal flow analysis (Q6663216) (← links)