E-LIB Suche - Ergebnisse für: di Serafino, Daniela

1

Time discretization in the solution of parabolic PDEs with ..:

Calabrò, Francesco ; Cuomo, Salvatore ; di Serafino, Daniela..
Applied Mathematics and Computation. 458 (2023) - p. 128230 , 2023

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

2

Transmission dynamics and sensitivity analysis of pine wilt..:

Ahmad, Zubair ; Bonanomi, Giuliano ; di Serafino, Daniela.
Applied Numerical Mathematics. 185 (2023) - p. 446-465 , 2023

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

3

On the stationarity for nonlinear optimization problems wit..:

di Serafino, Daniela ; Hager, William W. ; Toraldo, Gerardo.
Mathematical Programming. 205 (2023) 1-2 - p. 107-134 , 2023

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

4

Sparse Approximations with Interior Point Methods:

De Simone, Valentina ; di Serafino, Daniela ; Gondzio, Jacek..
SIAM Review. 64 (2022) 4 - p. 954-988 , 2022

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

5

A view of computational models for image segmentation:

Antonelli, Laura ; De Simone, Valentina ; di Serafino, Daniela
ANNALI DELL'UNIVERSITA' DI FERRARA. 68 (2022) 2 - p. 277-294 , 2022

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

6

Using gradient directions to get global convergence of Newt..:

di Serafino, Daniela ; Toraldo, Gerardo ; Viola, Marco
Applied Mathematics and Computation. 409 (2021) - p. 125612 , 2021

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

7

TGV-based restoration of Poissonian images with automatic e..:

, In: 2021 21st International Conference on Computational Science and Its Applications (ICCSA),

Di Serafino, Daniela ; Landi, Germana ; Viola, Marco - p. 139-145 , 2021

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

8

Directional TGV-Based Image Restoration under Poisson Noise:

di Serafino, Daniela ; Landi, Germana ; Viola, Marco
Journal of Imaging. 7 (2021) 6 - p. 99 , 2021

Link: https://doi.org/10.3390/..

9

Constraint-Preconditioned Krylov Solvers for Regularized Sa..:

di Serafino, Daniela ; Orban, Dominique
SIAM Journal on Scientific Computing. 43 (2021) 2 - p. A1001-A1026 , 2021

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

10

A subspace-accelerated split Bregman method for sparse data..:

De Simone, Valentina ; di Serafino, Daniela ; Viola, Marco
ETNA - Electronic Transactions on Numerical Analysis. 53 (2020) - p. 406-425 , 2020

Link: https://doi.org/10.1553/..

11

Towards an Efficient Implementation of an Accurate SPH Meth..:

, In: Lecture Notes in Computer Science; Numerical Computations: Theory and Algorithms,

Antonelli, Laura ; di Serafino, Daniela ; Francomano, Elisa.. - p. 3-10 , 2020

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

12

A Gradient-Based Globalization Strategy for the Newton Meth..:

, In: Lecture Notes in Computer Science; Numerical Computations: Theory and Algorithms,

di Serafino, Daniela ; Toraldo, Gerardo ; Viola, Marco - p. 177-185 , 2020

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

13

ACQUIRE: an inexact iteratively reweighted norm approach fo..:

di Serafino, Daniela ; Landi, Germana ; Viola, Marco
Applied Mathematics and Computation. 364 (2020) - p. 124678 , 2020

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

14

Spatially Adaptive Regularization in Image Segmentation:

Antonelli, Laura ; De Simone, Valentina ; di Serafino, Daniela
Algorithms. 13 (2020) 9 - p. 226 , 2020

Link: https://doi.org/10.3390/..

15

On preconditioner updates for sequences of saddle-point lin..:

Simone, Valentina De ; Serafino, Daniela di ; Morini, Benedetta
Communications in Applied and Industrial Mathematics. 9 (2018) 1 - p. 35-41 , 2018

Link: https://doi.org/10.1515/..