Pages that link to "Item:Q1995989"
From MaRDI portal
The following pages link to IDENT: identifying differential equations with numerical time evolution (Q1995989):
Displaying 29 items.
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems (Q137310) (← links)
- Machine learning subsurface flow equations from data (Q2009819) (← links)
- Efficient shifted fractional trapezoidal rule for subdiffusion problems with nonsmooth solutions on uniform meshes (Q2132434) (← links)
- Learning mean-field equations from particle data using WSINDy (Q2167982) (← links)
- Variational system identification of the partial differential equations governing the physics of pattern-formation: inference under varying fidelity and noise (Q2173625) (← links)
- Methods to recover unknown processes in partial differential equations using data (Q2210652) (← links)
- From structured data to evolution linear partial differential equations (Q2222252) (← links)
- Sparse identification of truncation errors (Q2222522) (← links)
- Spectral analysis of continuous FEM for hyperbolic PDEs: influence of approximation, stabilization, and time-stepping (Q2233969) (← links)
- WeakIdent: weak formulation for identifying differential equation using narrow-fit and trimming (Q2699369) (← links)
- (Q4998909) (← links)
- Numerical Identification of Nonlocal Potentials in Aggregation (Q5042005) (← links)
- Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation (Q5075698) (← links)
- The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation (Q5096451) (← links)
- Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory (Q5097857) (← links)
- Weak SINDy: Galerkin-Based Data-Driven Model Selection (Q5157694) (← links)
- Data-Driven Identification of Parametric Partial Differential Equations (Q5383204) (← links)
- Data-driven sparse identification of nonlinear dynamical systems using linear multistep methods (Q6042122) (← links)
- Learning theory for inferring interaction kernels in second-order interacting agent systems (Q6049817) (← links)
- Adaptive group Lasso neural network models for functions of few variables and time-dependent data (Q6049836) (← links)
- Seq-SVF: an unsupervised data-driven method for automatically identifying hidden governing equations (Q6051370) (← links)
- Group projected subspace pursuit for identification of variable coefficient differential equations (GP-IDENT) (Q6087946) (← links)
- Learning Markovian Homogenized Models in Viscoelasticity (Q6109142) (← links)
- Identification of the flux function of nonlinear conservation laws with variable parameters (Q6156252) (← links)
- On linear models for discrete operator inference in time dependent problems (Q6157901) (← links)
- Efficient Convex Optimization for Non-convex Non-smooth Image Restoration (Q6495865) (← links)
- A kernel framework for learning differential equations and their solution operators (Q6496499) (← links)
- How much can one learn a partial differential equation from its solution? (Q6645956) (← links)
- Group projected subspace pursuit for block sparse signal reconstruction: convergence analysis and applications (Q6657433) (← links)
