A fast poisson solver for distributed memory multiprocessors. - Daniela di Serafino; Almerico Murli; Francesca Perla (Concurr. Pract. Exp., 1992)

Parallel Numerical Simulation of Reacting Flows in Air Quality Models. - Pasqua D'Ambra; Daniela di Serafino; Giulio Giunta; Angelo Riccio (Parallel CFD, 1996)

PINEAPL: A European Project to Develop a Parallel Numerical Library for Industrial Applications. - Daniela di Serafino; Lucia Maddalena 001; Almerico Murli (Euro-Par, 1997)

Numerical Simulation of Air Pollution Phenomena in the Neapolitan Urban Area (Southern Italy): First Experiences. - Guido Barone; Pasqua D'Ambra; Angelo Riccio; Daniela di Serafino; Giulio Giunta (LSSC, 1997)

A Parallel Implementation of a Multigrid Multiblock Euler Solver on Distributed Memory Machines. - Daniela di Serafino (Parallel Comput., 1997)

Using a General-Purpose Numerical Library to Parallelize an Industrial Application: Design of High-Performance Lasers. - Ida de Bono; Daniela di Serafino; Eric Ducloux (Euro-Par, 1998)

Application of a parallel photochemical air quality model to the Campania region (southern Italy). - Guido Barone; Pasqua D'Ambra; Daniela di Serafino; Giulio Giunta; Almerico Murli; Angelo Riccio (Environ. Model. Softw., 2000)

Advanced environments for parallel and distributed computing. - Pasqua D'Ambra; Marco Danelutto; Daniela di Serafino (Parallel Comput., 2002)

Advanced environments for parallel and distributed applications: a view of current status. - Pasqua D'Ambra; Marco Danelutto; Daniela di Serafino; Marco Lapegna (Parallel Comput., 2002)

Parallel Components for Multidimensional Quadrature: Some Experiences. - Pasqua D'Ambra; Daniela di Serafino; Marco Lapegna (Parallel Distributed Comput. Pract., 2002)

Integrating MPI-based numerical software into an advanced parallel computing environment. - Pasqua D'Ambra; Marco Danelutto; Daniela di Serafino; Marco Lapegna (PDP, 2003)

Topic 16: Integrated Problem Solving Environments. - Daniela di Serafino; Elias N. Houstis; Peter M. A. Sloot; Domenico Talia (Euro-Par, 2004)

Extending PSBLAS to Build Parallel Schwarz Preconditioners. - Alfredo Buttari; Pasqua D'Ambra; Daniela di Serafino; Salvatore Filippone (PARA, 2004)

2LEV-D2P4: a package of high-performance preconditioners for scientific and engineering applications. - Alfredo Buttari; Pasqua D'Ambra; Daniela di Serafino; Salvatore Filippone (Appl. Algebra Eng. Commun. Comput., 2007)

On the iterative solution of KKT systems in potential reduction software for large-scale quadratic problems. - Sonia Cafieri; Marco D'Apuzzo; Valentina De Simone; Daniela di Serafino (Comput. Optim. Appl., 2007)

Stopping criteria for inner iterations in inexact potential reduction methods: a computational study. - Sonia Cafieri; Marco D'Apuzzo; Valentina De Simone; Daniela di Serafino (Comput. Optim. Appl., 2007)

Understanding the role of the topology in protein folding by computational inverse folding experiments. - Antonio Mucherino; Susan Costantini; Daniela di Serafino; Marco D'Apuzzo; Angelo M. Facchiano; Giovanni Colonna (Comput. Biol. Chem., 2008)

On the Use of Aggregation-Based Parallel Multilevel Preconditioners in the LES of Wall-Bounded Turbulent Flows. - Andrea Aprovitola; Pasqua D'Ambra; Daniela di Serafino; Salvatore Filippone (LSSC, 2009)

Parallel Numerical Algorithms. - Patrick Amestoy; Daniela di Serafino; Rob H. Bisseling; Enrique S. Quintana-Ortí; Marián Vajtersic (Euro-Par (2), 2010)

On the Application of Multiple-Deme Parallel Genetic Algorithms in Astrophysics. - Daniela di Serafino; Filippo Riccio (PDP, 2010)

On mutual impact of numerical linear algebra and large-scale optimization with focus on interior point methods. - Marco D'Apuzzo; Valentina De Simone; Daniela di Serafino (Comput. Optim. Appl., 2010)

A genetic algorithm for a global optimization problem arising in the detection of gravitational waves. - Daniela di Serafino; Susana Gómez; Leopoldo Milano; Filippo Riccio; Gerardo Toraldo (J. Glob. Optim., 2010)

Starting-point strategies for an infeasible potential reduction method. - Marco D'Apuzzo; Valentina De Simone; Daniela di Serafino (Optim. Lett., 2010)

Parallel, Distributed and Network-based Computing: an Application Perspective. - Pasqua D'Ambra; Daniela di Serafino; Mario Rosario Guarracino; Francesca Perla (Scalable Comput. Pract. Exp., 2010)

MLD2P4: A Package of Parallel Algebraic Multilevel Domain Decomposition Preconditioners in Fortran 95. - Pasqua D'Ambra; Daniela di Serafino; Salvatore Filippone (ACM Trans. Math. Softw., 2010)

Introduction. - Martin Berzins; Daniela di Serafino; Martin J. Gander; Luc Giraud (Euro-Par (2), 2011)

A Modified DIviding RECTangles Algorithm for a Problem in Astrophysics. - Daniela di Serafino; Giampaolo Liuzzi; Veronica Piccialli; Filippo Riccio; Gerardo Toraldo (J. Optim. Theory Appl., 2011)

Efficient Preconditioner Updates for Shifted Linear Systems. - Stefania Bellavia; Valentina De Simone; Daniela di Serafino; Benedetta Morini (SIAM J. Sci. Comput., 2011)

Topic 10: Parallel Numerical Algorithms. - Iain S. Duff; Efstratios Gallopoulos; Daniela di Serafino; Bora Uçar (Euro-Par, 2012)

A Preconditioning Framework for Sequences of Diagonally Modified Linear Systems Arising in Optimization. - Stefania Bellavia; Valentina De Simone; Daniela di Serafino; Benedetta Morini (SIAM J. Numer. Anal., 2012)

Performance analysis of parallel Schwarz preconditioners in the LES of turbulent channel flows. - Pasqua D'Ambra; Daniela di Serafino; Salvatore Filippone (Comput. Math. Appl., 2013)

Parallel algebraic multilevel Schwarz preconditioners for a class of elliptic PDE systems. - Alfio Borzì; Valentina De Simone; Daniela di Serafino (Comput. Vis. Sci., 2013)

An efficient gradient method using the Yuan steplength. - Roberta De Asmundis; Daniela di Serafino; William W. Hager; Gerardo Toraldo; Hongchao Zhang (Comput. Optim. Appl., 2014)

A matrix-free approach to build band preconditioners for large-scale bound-constrained optimization. - Valentina De Simone; Daniela di Serafino (J. Comput. Appl. Math., 2014)

SParC-LES: Enabling large eddy simulations with parallel sparse matrix computation tools. - Andrea Aprovitola; Pasqua D'Ambra; Filippo Maria Denaro; Daniela di Serafino; Salvatore Filippone (Comput. Math. Appl., 2015)

Updating Constraint Preconditioners for KKT Systems in Quadratic Programming Via Low-Rank Corrections. - Stefania Bellavia; Valentina De Simone; Daniela di Serafino; Benedetta Morini (SIAM J. Optim., 2015)

On the update of constraint preconditioners for regularized KKT systems. - Stefania Bellavia; Valentina De Simone; Daniela di Serafino; Benedetta Morini (Comput. Optim. Appl., 2016)

On the regularizing behavior of the SDA and SDC gradient methods in the solution of linear ill-posed problems. - Roberta De Asmundis; Daniela di Serafino; Germana Landi (J. Comput. Appl. Math., 2016)

On the Application of the Spectral Projected Gradient Method in Image Segmentation. - Laura Antonelli; Valentina De Simone; Daniela di Serafino (J. Math. Imaging Vis., 2016)

Parallel Aggregation Based on Compatible Weighted Matching for AMG. - Ambra Abdullahi; Pasqua D'Ambra; Daniela di Serafino; Salvatore Filippone (LSSC, 2017)

On the steplength selection in gradient methods for unconstrained optimization. - Daniela di Serafino; Valeria Ruggiero; Gerardo Toraldo; Luca Zanni (Appl. Math. Comput., 2018)

BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming. - Luca Bergamaschi; Valentina De Simone; Daniela di Serafino; Ángeles Martínez 001 (Numer. Linear Algebra Appl., 2018)

A Two-Phase Gradient Method for Quadratic Programming Problems with a Single Linear Constraint and Bounds on the Variables. - Daniela di Serafino; Gerardo Toraldo; Marco Viola; Jesse L. Barlow (SIAM J. Optim., 2018)

Towards an Efficient Implementation of an Accurate SPH Method. - Laura Antonelli; Daniela di Serafino; Elisa Francomano; Francesco Gregoretti; Marta Paliaga (NUMTA(1), 2019)

A Gradient-Based Globalization Strategy for the Newton Method. - Daniela di Serafino; Gerardo Toraldo; Marco Viola (NUMTA(1), 2019)

A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers. - Valentina De Simone; Daniela di Serafino; Marco Viola (CoRR, 2019)

Efficient Algebraic Multigrid Preconditioners on Clusters of GPUs. - Ambra Abdullahi Hassan; Valeria Cardellini; Pasqua D'Ambra; Daniela di Serafino; Salvatore Filippone (Parallel Process. Lett., 2019)

Spatially Adaptive Regularization in Image Segmentation. - Laura Antonelli; Valentina De Simone; Daniela di Serafino (Algorithms, 2020)

ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration. - Daniela di Serafino; Germana Landi; Marco Viola (Appl. Math. Comput., 2020)

LSOS: Line-search Second-Order Stochastic optimization methods. - Daniela di Serafino; Natasa Krejic; Natasa Krklec Jerinkic; Marco Viola (CoRR, 2020)

TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter. - Daniela di Serafino; Germana Landi; Marco Viola (ICCSA (Workshops), 2021)

Using gradient directions to get global convergence of Newton-type methods. - Daniela di Serafino; Gerardo Toraldo; Marco Viola (Appl. Math. Comput., 2021)

A View of Regularized Approaches for Image Segmentation. - Laura Antonelli; Valentina De Simone; Daniela di Serafino (CoRR, 2021)

Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks. - Evangelos Galaris; Francesco Calabrò; Daniela di Serafino; Constantinos I. Siettos (CoRR, 2021)

Time Series Forecasting Using Manifold Learning. - Panagiotis Papaioannou; Ronen Talmon; Daniela di Serafino; Constantinos I. Siettos (CoRR, 2021)

Directional TGV-Based Image Restoration under Poisson Noise. - Daniela di Serafino; Germana Landi; Marco Viola (J. Imaging, 2021)

Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems. - Daniela di Serafino; Dominique Orban (SIAM J. Sci. Comput., 2021)

Automatic parameter selection for the TGV regularizer in image restoration under Poisson noise. - Daniela di Serafino; Monica Pragliola (CoRR, 2022)

The effect of time discretization on the solution of parabolic PDEs with ANNs. - Francesco Calabrò; Salvatore Cuomo; Daniela di Serafino; Giuseppe Izzo; Eleonora Messina (CoRR, 2022)

Sparse Approximations with Interior Point Methods. - Valentina De Simone; Daniela di Serafino; Jacek Gondzio; Spyridon Pougkakiotis; Marco Viola (SIAM Rev., 2022)

LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums. - Daniela di Serafino; Natasa Krejic; Natasa Krklec Jerinkic; Marco Viola (Math. Comput., 2022)

Time discretization in the solution of parabolic PDEs with ANNs. - Francesco Calabrò; Salvatore Cuomo; Daniela di Serafino; Giuseppe Izzo; Eleonora Messina (Appl. Math. Comput., 2023)

On the stationarity for nonlinear optimization problems with polyhedral constraints. - Daniela di Serafino; William W. Hager; Gerardo Toraldo; Marco Viola (Math. Program., 2024)