Daniela di Serafino

69 papers C 2Journal 53Unranked 14

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