Daniela di Serafino

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 35

Top Topics

Unconstrained Optimization

Split Bregman Method

Quadratic Programming

Optimization Methods

Top Venues

Appl. Math. Comput.

Comput. Optim. Appl.

Publications

Daniela di Serafino, William W. Hager, Gerardo Toraldo, Marco Viola
On the stationarity for nonlinear optimization problems with polyhedral constraints. Math. Program. 205 (1) (2024)
Francesco Calabrò, Salvatore Cuomo, Daniela di Serafino, Giuseppe Izzo, Eleonora Messina
Time discretization in the solution of parabolic PDEs with ANNs. Appl. Math. Comput. 458 (2023)
Daniela di Serafino, Monica Pragliola
Automatic parameter selection for the TGV regularizer in image restoration under Poisson noise. CoRR (2022)
Francesco Calabrò, Salvatore Cuomo, Daniela di Serafino, Giuseppe Izzo, Eleonora Messina
The effect of time discretization on the solution of parabolic PDEs with ANNs. CoRR (2022)
Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
Sparse Approximations with Interior Point Methods. SIAM Rev. 64 (4) (2022)
Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums. Math. Comput. 92 (341) (2022)
Daniela di Serafino, Gerardo Toraldo, Marco Viola
Using gradient directions to get global convergence of Newton-type methods. Appl. Math. Comput. 409 (2021)
Evangelos Galaris, Francesco Calabrò, Daniela di Serafino, Constantinos I. Siettos
Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks. CoRR (2021)
Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
Sparse Approximations with Interior Point Methods. CoRR (2021)
Daniela di Serafino, Germana Landi, Marco Viola
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter. CoRR (2021)
Daniela di Serafino, Germana Landi, Marco Viola
Directional TGV-Based Image Restoration under Poisson Noise. J. Imaging 7 (6) (2021)
Daniela di Serafino, Germana Landi, Marco Viola
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter. ICCSA (Workshops) (2021)
Laura Antonelli, Valentina De Simone, Daniela di Serafino
A View of Regularized Approaches for Image Segmentation. CoRR (2021)
Panagiotis Papaioannou, Ronen Talmon, Daniela di Serafino, Constantinos I. Siettos
Time Series Forecasting Using Manifold Learning. CoRR (2021)
Daniela di Serafino, Germana Landi, Marco Viola
Directional TGV-based image restoration under Poisson noise. CoRR (2021)
Daniela di Serafino, Dominique Orban
Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems. SIAM J. Sci. Comput. 43 (2) (2021)
Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
LSOS: Line-search Second-Order Stochastic optimization methods. CoRR (2020)
Laura Antonelli, Valentina De Simone, Daniela di Serafino
Spatially Adaptive Regularization in Image Segmentation. Algorithms 13 (9) (2020)
Daniela di Serafino, Gerardo Toraldo, Marco Viola
Using gradient directions to get global convergence of Newton-type methods. CoRR (2020)
Laura Antonelli, Valentina De Simone, Daniela di Serafino
Spatially Adaptive Regularization in Image Segmentation. CoRR (2020)
Daniela di Serafino, Germana Landi, Marco Viola
ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration. Appl. Math. Comput. 364 (2020)
Daniela di Serafino, Dominique Orban
Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems. CoRR (2019)
Daniela di Serafino, Gerardo Toraldo, Marco Viola
A Gradient-Based Globalization Strategy for the Newton Method. NUMTA(1) (2019)
Ambra Abdullahi Hassan, Valeria Cardellini, Pasqua D'Ambra, Daniela di Serafino, Salvatore Filippone
Efficient Algebraic Multigrid Preconditioners on Clusters of GPUs. Parallel Process. Lett. 29 (1) (2019)
Laura Antonelli, Daniela di Serafino, Elisa Francomano, Francesco Gregoretti, Marta Paliaga
Towards an Efficient Implementation of an Accurate SPH Method. NUMTA(1) (2019)
Valentina De Simone, Daniela di Serafino, Marco Viola
A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers. CoRR (2019)
Luca Bergamaschi, Valentina De Simone, Daniela di Serafino, Ángeles Martínez
BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming. Numer. Linear Algebra Appl. 25 (5) (2018)
Daniela di Serafino, Valeria Ruggiero, Gerardo Toraldo, Luca Zanni
On the steplength selection in gradient methods for unconstrained optimization. Appl. Math. Comput. 318 (2018)
Daniela di Serafino, Gerardo Toraldo, Marco Viola, Jesse L. Barlow
A Two-Phase Gradient Method for Quadratic Programming Problems with a Single Linear Constraint and Bounds on the Variables. SIAM J. Optim. 28 (4) (2018)
Ambra Abdullahi, Pasqua D'Ambra, Daniela di Serafino, Salvatore Filippone
Parallel Aggregation Based on Compatible Weighted Matching for AMG. LSSC (2017)
Laura Antonelli, Valentina De Simone, Daniela di Serafino
On the Application of the Spectral Projected Gradient Method in Image Segmentation. J. Math. Imaging Vis. 54 (1) (2016)
Stefania Bellavia, Valentina De Simone, Daniela di Serafino, Benedetta Morini
On the update of constraint preconditioners for regularized KKT systems. Comput. Optim. Appl. 65 (2) (2016)
Roberta De Asmundis, Daniela di Serafino, Germana Landi
On the regularizing behavior of the SDA and SDC gradient methods in the solution of linear ill-posed problems. J. Comput. Appl. Math. 302 (2016)
Stefania Bellavia, Valentina De Simone, Daniela di Serafino, Benedetta Morini
Updating Constraint Preconditioners for KKT Systems in Quadratic Programming Via Low-Rank Corrections. SIAM J. Optim. 25 (3) (2015)
Andrea Aprovitola, Pasqua D'Ambra, Filippo Maria Denaro, Daniela di Serafino, Salvatore Filippone
SParC-LES: Enabling large eddy simulations with parallel sparse matrix computation tools. Comput. Math. Appl. 70 (11) (2015)
Valentina De Simone, Daniela di Serafino
A matrix-free approach to build band preconditioners for large-scale bound-constrained optimization. J. Comput. Appl. Math. 268 (2014)
Roberta De Asmundis, Daniela di Serafino, William W. Hager, Gerardo Toraldo, Hongchao Zhang
An efficient gradient method using the Yuan steplength. Comput. Optim. Appl. 59 (3) (2014)
Pasqua D'Ambra, Daniela di Serafino, Salvatore Filippone
Performance analysis of parallel Schwarz preconditioners in the LES of turbulent channel flows. Comput. Math. Appl. 65 (3) (2013)
Alfio Borzì, Valentina De Simone, Daniela di Serafino
Parallel algebraic multilevel Schwarz preconditioners for a class of elliptic PDE systems. Comput. Vis. Sci. 16 (1) (2013)
Iain S. Duff, Efstratios Gallopoulos, Daniela di Serafino, Bora Uçar
Topic 10: Parallel Numerical Algorithms. Euro-Par (2012)
Stefania Bellavia, Valentina De Simone, Daniela di Serafino, Benedetta Morini
A Preconditioning Framework for Sequences of Diagonally Modified Linear Systems Arising in Optimization. SIAM J. Numer. Anal. 50 (6) (2012)
Martin Berzins, Daniela di Serafino, Martin J. Gander, Luc Giraud
Introduction. Euro-Par (2) (2011)
Stefania Bellavia, Valentina De Simone, Daniela di Serafino, Benedetta Morini
Efficient Preconditioner Updates for Shifted Linear Systems. SIAM J. Sci. Comput. 33 (4) (2011)
Daniela di Serafino, Giampaolo Liuzzi, Veronica Piccialli, Filippo Riccio, Gerardo Toraldo
A Modified DIviding RECTangles Algorithm for a Problem in Astrophysics. J. Optim. Theory Appl. 151 (1) (2011)
Daniela di Serafino, Filippo Riccio
On the Application of Multiple-Deme Parallel Genetic Algorithms in Astrophysics. PDP (2010)
Daniela di Serafino, Susana Gómez, Leopoldo Milano, Filippo Riccio, Gerardo Toraldo
A genetic algorithm for a global optimization problem arising in the detection of gravitational waves. J. Glob. Optim. 48 (1) (2010)
Pasqua D'Ambra, Daniela di Serafino, Salvatore Filippone
MLD2P4: A Package of Parallel Algebraic Multilevel Domain Decomposition Preconditioners in Fortran 95. ACM Trans. Math. Softw. 37 (3) (2010)
Marco D'Apuzzo, Valentina De Simone, Daniela di Serafino
On mutual impact of numerical linear algebra and large-scale optimization with focus on interior point methods. Comput. Optim. Appl. 45 (2) (2010)
Patrick Amestoy, Daniela di Serafino, Rob H. Bisseling, Enrique S. Quintana-Ortí, Marián Vajtersic
Parallel Numerical Algorithms. Euro-Par (2) (2010)
Pasqua D'Ambra, Daniela di Serafino, Mario Rosario Guarracino, Francesca Perla
Parallel, Distributed and Network-based Computing: an Application Perspective. Scalable Comput. Pract. Exp. 11 (3) (2010)
Marco D'Apuzzo, Valentina De Simone, Daniela di Serafino
Starting-point strategies for an infeasible potential reduction method. Optim. Lett. 4 (1) (2010)
Andrea Aprovitola, Pasqua D'Ambra, Daniela di Serafino, Salvatore Filippone
On the Use of Aggregation-Based Parallel Multilevel Preconditioners in the LES of Wall-Bounded Turbulent Flows. LSSC (2009)
Antonio Mucherino, Susan Costantini, Daniela di Serafino, Marco D'Apuzzo, Angelo M. Facchiano, Giovanni Colonna
Understanding the role of the topology in protein folding by computational inverse folding experiments. Comput. Biol. Chem. 32 (4) (2008)
Sonia Cafieri, Marco D'Apuzzo, Valentina De Simone, Daniela di Serafino
Stopping criteria for inner iterations in inexact potential reduction methods: a computational study. Comput. Optim. Appl. 36 (2-3) (2007)
Sonia Cafieri, Marco D'Apuzzo, Valentina De Simone, Daniela di Serafino
On the iterative solution of KKT systems in potential reduction software for large-scale quadratic problems. Comput. Optim. Appl. 38 (1) (2007)
Alfredo Buttari, Pasqua D'Ambra, Daniela di Serafino, Salvatore Filippone
2LEV-D2P4: a package of high-performance preconditioners for scientific and engineering applications. Appl. Algebra Eng. Commun. Comput. 18 (3) (2007)
Daniela di Serafino, Elias N. Houstis, Peter M. A. Sloot, Domenico Talia
Topic 16: Integrated Problem Solving Environments. Euro-Par (2004)
Alfredo Buttari, Pasqua D'Ambra, Daniela di Serafino, Salvatore Filippone
Extending PSBLAS to Build Parallel Schwarz Preconditioners. PARA (2004)
Pasqua D'Ambra, Marco Danelutto, Daniela di Serafino, Marco Lapegna
Integrating MPI-based numerical software into an advanced parallel computing environment. PDP (2003)
Pasqua D'Ambra, Marco Danelutto, Daniela di Serafino, Marco Lapegna
Advanced environments for parallel and distributed applications: a view of current status. Parallel Comput. 28 (12) (2002)
Pasqua D'Ambra, Marco Danelutto, Daniela di Serafino
Advanced environments for parallel and distributed computing. Parallel Comput. 28 (12) (2002)
Pasqua D'Ambra, Daniela di Serafino, Marco Lapegna
Parallel Components for Multidimensional Quadrature: Some Experiences. Scalable Comput. Pract. Exp. 5 (3) (2002)
Guido Barone, Pasqua D'Ambra, Daniela di Serafino, Giulio Giunta, Almerico Murli, Angelo Riccio
Application of a parallel photochemical air quality model to the Campania region (southern Italy). Environ. Model. Softw. 15 (6-7) (2000)
Ida de Bono, Daniela di Serafino, Eric Ducloux
Using a General-Purpose Numerical Library to Parallelize an Industrial Application: Design of High-Performance Lasers. Euro-Par (1998)
Guido Barone, Pasqua D'Ambra, Angelo Riccio, Daniela di Serafino, Giulio Giunta
Numerical Simulation of Air Pollution Phenomena in the Neapolitan Urban Area (Southern Italy): First Experiences. LSSC (1997)
Daniela di Serafino
A Parallel Implementation of a Multigrid Multiblock Euler Solver on Distributed Memory Machines. Parallel Comput. 23 (13) (1997)
Daniela di Serafino, Lucia Maddalena, Almerico Murli
PINEAPL: A European Project to Develop a Parallel Numerical Library for Industrial Applications. Euro-Par (1997)
Pasqua D'Ambra, Daniela di Serafino, Giulio Giunta, Angelo Riccio
Parallel Numerical Simulation of Reacting Flows in Air Quality Models. Parallel CFD (1996)
Daniela di Serafino, Almerico Murli, Francesca Perla
A fast poisson solver for distributed memory multiprocessors. Concurr. Pract. Exp. 4 (7) (1992)