Pages that link to "Item:Q420148"
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The following pages link to Numerical differentiation of noisy, nonsmooth data (Q420148):
Displaying 50 items.
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems (Q137310) (← links)
- On computing first and second order derivative spectra (Q350065) (← links)
- An inverse source problem in a semilinear time-fractional diffusion equation (Q521474) (← links)
- Numerical differentiation of experimental data: local versus global methods (Q710123) (← links)
- Finite difference methods for the numerical differentiation of non-exact data (Q792733) (← links)
- A new approach to numerical differentiation (Q843125) (← links)
- A perturbation method for numerical differentiation (Q924427) (← links)
- Numerical differentiation with annihilators in noisy environment (Q1014374) (← links)
- Numerical differentiation with noisy signal (Q1039702) (← links)
- Numerical differentiation of 2D functions from noisy data. (Q1416390) (← links)
- An approach to differentiation of non-smooth functions obtained during residual stress measurements by layer-removal method (Q1707653) (← links)
- Almost optimal differentiation using noisy data (Q1925089) (← links)
- Machine learning subsurface flow equations from data (Q2009819) (← links)
- Sparse identification of nonlinear dynamical systems via reweighted \(\ell_1\)-regularized least squares (Q2021994) (← links)
- Approximate calculation of the Caputo-type fractional derivative from inaccurate data. Dynamical approach (Q2046098) (← links)
- Hybrid control for tracking environmental level sets by nonholonomic robots in maze-like environments (Q2061236) (← links)
- Real-time calculation of a Caputo fractional derivative from noisy data. The case of continuous measurements (Q2071619) (← links)
- Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data (Q2083640) (← links)
- Data smoothing with applications to edge detection (Q2084169) (← links)
- A Bayesian approach for data-driven dynamic equation discovery (Q2102994) (← links)
- On predicting heterogeneity in nanoparticle dosage (Q2103614) (← links)
- Solving inverse-PDE problems with physics-aware neural networks (Q2129334) (← links)
- Data-driven discovery of multiscale chemical reactions governed by the law of mass action (Q2134528) (← links)
- Exploring time-delay-based numerical differentiation using principal component analysis (Q2139951) (← links)
- Numerical aspects for approximating governing equations using data (Q2214649) (← links)
- Data driven governing equations approximation using deep neural networks (Q2222362) (← links)
- Sparse identification of truncation errors (Q2222522) (← links)
- Closed-form higher-order numerical differentiators for differentiating noisy signals (Q2279431) (← links)
- Recognition of a time-dependent source in a time-fractional wave equation (Q2402556) (← links)
- Two triggered information transmission algorithms for distributed moving horizon state estimation (Q2446807) (← links)
- High order numerical derivatives for one-dimensional scattered noisy data (Q2493742) (← links)
- Real-time differentiation of the multi-dimensional sampled functions (Q2808655) (← links)
- A wavelet method for numerical fractional derivative with noisy data (Q2819178) (← links)
- A GL(n,R) Differential Algebraic Equation Method forNumerical Differentiation of Noisy Signal (Q2964803) (← links)
- Numerical differentiation by the regularization method (Q3745156) (← links)
- Sparse reduced-order modelling: sensor-based dynamics to full-state estimation (Q4563901) (← links)
- Learning partial differential equations via data discovery and sparse optimization (Q4646838) (← links)
- (Q4998909) (← links)
- Equation discovery from data: promise and pitfalls, from rabbits to Mars (Q5039484) (← links)
- Extracting Structured Dynamical Systems Using Sparse Optimization With Very Few Samples (Q5137942) (← links)
- Structure-Preserving Method for Reconstructing Unknown Hamiltonian Systems From Trajectory Data (Q5147965) (← links)
- SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics (Q5161113) (← links)
- Direct simulation of surface roughness signature of internal wave with deterministic energy-conservative model (Q5222582) (← links)
- Constrained sparse Galerkin regression (Q5226317) (← links)
- Sparse identification of nonlinear dynamics for model predictive control in the low-data limit (Q5243602) (← links)
- Discovery of Nonlinear Multiscale Systems: Sampling Strategies and Embeddings (Q5382442) (← links)
- Methods for numerical differentiation of noisy data (Q5409194) (← links)
- Finding discontinuities of piecewise-smooth functions (Q5433700) (← links)
- An inverse problem for a semi-linear wave equation: a numerical study (Q6066510) (← links)
- Analysis of polymorphic data uncertainties in engineering applications (Q6088631) (← links)