Publications associées à Quantitative $ L ^{ 2 } $ Error Analysis for Interpolation Methods and Wavelet Expansions

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Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function

u

in multivariate polynomial spaces

P_\Lambda:=span\{y\mapsto y^\nu \,: \, \nu\in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma:=[-1,1]^d

, based on the s ...

2017

Quantitative $ L ^{ 2 } $ Error Analysis for Interpolation Methods and Wavelet Expansions

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Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Plug-and-play adaptive surrogate modeling of parametric nonlinear dynamics in frequency domain

Perturbed Fourier uniqueness and interpolation results in higher dimensions

Functional Tucker Approximation Using Chebyshev Interpolation

MATHICSE Technical Report : Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Regularity results for rough solutions of the incompressible Euler equations via interpolation methods

Low-rank tensor methods for large Markov chains and forward feature selection methods

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Functional Tucker Approximation Using Chebyshev Interpolation

Perturbed Fourier uniqueness and interpolation results in higher dimensions

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Plug-and-play adaptive surrogate modeling of parametric nonlinear dynamics in frequency domain

MATHICSE Technical Report : Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation

Regularity results for rough solutions of the incompressible Euler equations via interpolation methods

Low-rank tensor methods for large Markov chains and forward feature selection methods

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension