Publications associées à Sampling and Reconstructing Diffusion Fields with Localized Sources

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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

Sampling and Reconstructing Diffusion Fields with Localized Sources

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Chattez avec Graph Search

Observation of e(+) e(-) -> gamma chi(c1) and search for e(+) e(-) -> gamma chi(c0), gamma chi(c2), and gamma eta(c) at root s near 10.6 GeV at Belle

Sampling at unknown locations, with an application in surface retrieval

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

Learning-based subsampling

Gauging the highs: design and realization of a water sample campaign during high and low streamflow

On the performance of random reshuffling in stochastic learning

Extracting the interfacial free energy and anisotropy from a smooth fluctuating dividing surface

Structure of Herbig AeBe Disks at the milliarcsecond Scale—A Statistical Survey in the H Band Using PIONIER-VLTI

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Shapes from Pixels

Observation of e(+) e(-) -> gamma chi(c1) and search for e(+) e(-) -> gamma chi(c0), gamma chi(c2), and gamma eta(c) at root s near 10.6 GeV at Belle

Gauging the highs: design and realization of a water sample campaign during high and low streamflow

Learning-based subsampling

Structure of Herbig AeBe Disks at the milliarcsecond Scale—A Statistical Survey in the H Band Using PIONIER-VLTI

Extracting the interfacial free energy and anisotropy from a smooth fluctuating dividing surface

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Shapes from Pixels

Sampling at unknown locations, with an application in surface retrieval

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

On the performance of random reshuffling in stochastic learning