E-LIB Suche - Ergebnisse für: Brugiapaglia, Simone

1

On Efficient Algorithms for Computing Near-Best Polynomial ..:

Adcock, Ben ; Brugiapaglia, Simone ; Dexter, Nick. , 2024

Link: https://search.ebscohost..

2

Compressive Fourier collocation methods for high-dimensiona..:

Wang, Weiqi ; Brugiapaglia, Simone
IMA Journal of Numerical Analysis. , 2024

Link: https://doi.org/10.1093/..

3

LASSO Reloaded: A Variational Analysis Perspective with App..:

Berk, Aaron ; Brugiapaglia, Simone ; Hoheisel, Tim
SIAM Journal on Mathematics of Data Science. 5 (2023) 4 - p. 1102-1129 , 2023

Link: https://doi.org/10.1137/..

4

A Coherence Parameter Characterizing Generative Compressed ..:

Berk, Aaron ; Brugiapaglia, Simone ; Joshi, Babhru...
IEEE Journal on Selected Areas in Information Theory. 3 (2022) 3 - p. 502-512 , 2022

Link: https://doi.org/10.1109/..

5

Sparse recovery in bounded Riesz systems with applications ..:

Brugiapaglia, Simone ; Dirksen, Sjoerd ; Jung, Hans Christian.
Applied and Computational Harmonic Analysis. 53 (2021) - p. 231-269 , 2021

Link: https://doi.org/10.1016/..

6

Do Log Factors Matter? On Optimal Wavelet Approximation and..:

Adcock, Ben ; Brugiapaglia, Simone ; King–Roskamp, Matthew
Foundations of Computational Mathematics. 22 (2021) 1 - p. 99-159 , 2021

Link: https://doi.org/10.1007/..

7

Sparse Approximation of Multivariate Functions from Small D..:

, In: Lecture Notes in Computational Science and Engineering; Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018,

Adcock, Ben ; Brugiapaglia, Simone - p. 611-621 , 2020

Link: https://doi.org/10.1007/..

8

A Compressive Spectral Collocation Method for the Diffusion..:

, In: Lecture Notes in Computational Science and Engineering; Quantification of Uncertainty: Improving Efficiency and Technology,

Brugiapaglia, Simone - p. 15-40 , 2020

Link: https://doi.org/10.1007/..

9

On oracle-type local recovery guarantees in compressed sens..:

Adcock, Ben ; Boyer, Claire ; Brugiapaglia, Simone
Information and Inference: A Journal of the IMA. 10 (2020) 1 - p. 1-49 , 2020

Link: https://doi.org/10.1093/..

10

Compressive isogeometric analysis:

Brugiapaglia, Simone ; Tamellini, Lorenzo ; Tani, Mattia
Computers & Mathematics with Applications. 80 (2020) 12 - p. 3137-3155 , 2020

Link: https://doi.org/10.1016/..

11

Correcting for unknown errors in sparse high-dimensional fu..:

Adcock, Ben ; Bao, Anyi ; Brugiapaglia, Simone
Numerische Mathematik. 142 (2019) 3 - p. 667-711 , 2019

Link: https://doi.org/10.1007/..

12

A THEORETICAL STUDY OF COMPRESSED SOLVING FOR ADVECTION-DIF..:

BRUGIAPAGLIA, SIMONE ; NOBILE, FABIO ; MICHELETTI, STEFANO.
Mathematics of Computation. 87 (2018) 309 - p. 1-38 , 2018

Link: https://www.jstor.org/st..

13

On the simultaneous refinement of the zeros of H-palindromi..:

Brugiapaglia, Simone ; Gemignani, Luca
Journal of Computational and Applied Mathematics. 272 (2014) - p. 293-303 , 2014

Link: https://doi.org/10.1016/..

14

A practical existence theorem for reduced order models base..:

Franco, Nicola Rares ; Brugiapaglia, Simone
http://arxiv.org/abs/2402.00435. , 2024

Link: http://arxiv.org/abs/240..

15

Model-adapted Fourier sampling for generative compressed se..:

Berk, Aaron ; Brugiapaglia, Simone ; Plan, Yaniv...
http://arxiv.org/abs/2310.04984. , 2023

Link: http://arxiv.org/abs/231..