Pages that link to "Item:Q4972990"
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The following pages link to Robust and optimal sparse regression for nonlinear PDE models (Q4972990):
Displaying 16 items.
- Weak SINDy for partial differential equations (Q2132599) (← links)
- Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data (Q2133022) (← links)
- Data-driven discovery of governing equations for transient heat transfer analysis (Q2147572) (← links)
- A joint estimation approach to sparse additive ordinary differential equations (Q2172119) (← links)
- WeakIdent: weak formulation for identifying differential equation using narrow-fit and trimming (Q2699369) (← links)
- Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation (Q5075698) (← links)
- Learning sparse nonlinear dynamics via mixed-integer optimization (Q6060066) (← links)
- Direct estimation of parameters in ODE models using WENDy: weak-form estimation of nonlinear dynamics (Q6078313) (← links)
- Derivative-based SINDy (DSINDy): addressing the challenge of discovering governing equations from noisy data (Q6099213) (← links)
- Parsimony as the ultimate regularizer for physics-informed machine learning (Q6117148) (← links)
- PDE-READ: human-readable partial differential equation discovery using deep learning (Q6488684) (← links)
- \texttt{Weak-PDE-LEARN}: a weak form based approach to discovering PDEs from noisy, limited data (Q6498485) (← links)
- Finding nonlinear system equations and complex network structures from data: a sparse optimization approach (Q6556901) (← links)
- Regularized least absolute deviation-based sparse identification of dynamical systems (Q6571784) (← links)
- Learning fluid physics from highly turbulent data using sparse physics-informed discovery of empirical relations (SPIDER) (Q6621776) (← links)
- Learning macroscopic equations of motion from dissipative particle dynamics simulations of fluids (Q6641917) (← links)
