Luca Bergamaschi

65 papers Misc 2Journal 49Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Block Triangular Preconditioners for Double Saddle-Point Linear Systems Arising in the Mixed Form of Poroelasticity Equations. SIAM J. Matrix Anal. Appl. Luca Bergamaschi, Massimiliano Ferronato, Angeles Martinez
2026	J	`jnl`	QR-Recursive Compression of Volume Integral Equations for Electromagnetic Scattering by Large Metasurfaces. CoRR Vincenzo Mottola, Antonello Tamburrino, Luca Bergamaschi, Andrea Gaetano Chiariello, Emanuele Corsaro, Carlo Forestiere, Guglielmo Rubinacci, Salvatore Ventre
2026	J	`jnl`	Spectral Analysis of Block Diagonally Preconditioned Multiple Saddle-Point Matrices with Inexact Schur Complements. CoRR Marco Pilotto, Luca Bergamaschi, Angeles Martinez
2025	J	`jnl`	A 0.1-26 GHz SerDes-Based Broadband White Noise Generator for Ethernet Compliance Tests. IEEE Trans. Instrum. Meas. Dario Prevedelli, Luca Bergamaschi, Alessandro Acquaviva, Filippo Persia, Roberto G. Massolini
2025	J	`jnl`	Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices. CoRR Luca Bergamaschi, Angeles Martinez, John W. Pearson, Andreas Potschka
2025	J	`jnl`	Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization. Comput. Optim. Appl. Luca Bergamaschi, Ángeles Martínez, John W. Pearson, Andreas Potschka
2025	J	`jnl`	Triangular preconditioners for double saddle point linear systems arising in the mixed form of poroelasticity equations. CoRR Luca Bergamaschi, Massimiliano Ferronato, Angeles Martinez
2024	J	`jnl`	Parallel-in-Time Solver for the All-at-Once Runge-Kutta Discretization. SIAM J. Matrix Anal. Appl. Santolo Leveque, Luca Bergamaschi, Ángeles Martínez, John W. Pearson
2024	J	`jnl`	Some preconditioning techniques for a class of double saddle point problems. Numer. Linear Algebra Appl. Fariba Balani Bakrani, Luca Bergamaschi, Ángeles Martínez, Masoud Hajarian
2024	J	`jnl`	Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization. CoRR Luca Bergamaschi, Angeles Martinez, John W. Pearson, Andreas Potschka
2023	J	`jnl`	Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization. CoRR Santolo Leveque, Luca Bergamaschi, Ángeles Martínez, John W. Pearson
2023	J	`jnl`	Parallel matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks. Comput. Math. Appl. Luca Bergamaschi, Massimiliano Ferronato, Giovanni Isotton, Carlo Janna, Angeles Martinez
2023	J	`jnl`	Some preconditioning techniques for a class of double saddle point problems. CoRR Fariba Bakrani Balani, Luca Bergamaschi, Angeles Martinez, Masoud Hajarian
2022	—	`conf`	A Sensing System for Defects Detection in Reinforced Aluminium Panels by Ultrasonic Guided Waves Sensors. SYSINT Lorenzo Capineri, Andrea Bulletti, Cosimo Damiani, Luca Bergamaschi
2022	J	`jnl`	Parallel Matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks. CoRR Luca Bergamaschi, Massimiliano Ferronato, Giovanni Isotton, Carlo Janna, Angeles Martinez
2022	J	`jnl`	Strategies of Preconditioner Updates for Sequences of Linear Systems Associated with the Neutron Diffusion. Comput. Math. Methods Amanda Carreño, Luca Bergamaschi, Angeles Martinez, Damián Ginestar, Antoni Vidal-Ferràndiz, Gumersindo Verdú
2021	J	`jnl`	A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. Numer. Linear Algebra Appl. Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
2021	J	`jnl`	Parallel Newton-Chebyshev polynomial preconditioners for the conjugate gradient method. Comput. Math. Methods Luca Bergamaschi, Ángeles Martínez Calomardo
2020	J	`jnl`	A Survey of Low-Rank Updates of Preconditioners for Sequences of Symmetric Linear Systems. Algorithms Luca Bergamaschi
2020	J	`jnl`	Compact Quasi-Newton preconditioners for SPD linear systems. CoRR Luca Bergamaschi, José Marín, Angeles Martinez
2020	J	`jnl`	Compact quasi-Newton preconditioners for symmetric positive definite linear systems. Numer. Linear Algebra Appl. Luca Bergamaschi, José Marín, Ángeles Martínez
2020	J	`jnl`	Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient method. CoRR Luca Bergamaschi, Angeles Martinez
2020	J	`jnl`	Scalable Block Preconditioners for Linearized Navier-Stokes Equations at High Reynolds Number. Algorithms Filippo Zanetti, Luca Bergamaschi
2019	J	`jnl`	A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming. CoRR Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
2019	J	`jnl`	Spectral preconditioners for the efficient numerical solution of a continuous branched transport model. J. Comput. Appl. Math. Luca Bergamaschi, Enrico Facca, Angeles Martinez, Mario Putti
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
2017	—	`conf`	Spectral Acceleration of Parallel Iterative Eigensolvers for Large Scale Scientific Computing. PARCO Luca Bergamaschi, Ángeles Martínez
2017	J	`jnl`	Two-stage spectral preconditioners for iterative eigensolvers. Numer. Linear Algebra Appl. Luca Bergamaschi, Angeles Martinez
2015	J	`jnl`	Efficiently preconditioned inexact Newton methods for large symmetric eigenvalue problems. Optim. Methods Softw. Luca Bergamaschi, Angeles Martinez
2014	J	`jnl`	A note on eigenvalue distribution of constraint-preconditioned symmetric saddle point matrices. Numer. Linear Algebra Appl. Shi-Liang Wu, Luca Bergamaschi, Cui-Xia Li
2013	J	`jnl`	Low-rank update of preconditioners for the nonlinear Richards equation. Math. Comput. Model. Luca Bergamaschi, Rafael Bru, Angeles Martinez, José Mas, Mario Putti
2013	J	`jnl`	Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems. J. Appl. Math. Luca Bergamaschi, Angeles Martinez
2012	J	`jnl`	Banded target matrices and recursive FSAI for parallel preconditioning. Numer. Algorithms Luca Bergamaschi, Angeles Martinez
2012	J	`jnl`	On eigenvalue distribution of constraint-preconditioned symmetric saddle point matrices. Numer. Linear Algebra Appl. Luca Bergamaschi
2012	J	`jnl`	Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning. J. Appl. Math. Luca Bergamaschi, Angeles Martinez, Giorgio Pini
2012	J	`jnl`	Quasi-Newton acceleration of ILU preconditioners for nonlinear two-phase flow equations in porous media. Adv. Eng. Softw. Luca Bergamaschi, Rafael Bru, Angeles Martinez, Mario Putti
2011	J	`jnl`	Erratum to: Inexact constraint preconditioners for linear systems arising in interior point methods. Comput. Optim. Appl. Luca Bergamaschi, Jacek Gondzio, Manolo Venturin, Giovanni Zilli
2011	J	`jnl`	FSAI-based parallel Mixed Constraint Preconditioners for saddle point problems arising in geomechanics. J. Comput. Appl. Math. Luca Bergamaschi, Angeles Martinez
2011	J	`jnl`	Low-rank update of preconditioners for the inexact Newton method with SPD Jacobian. Math. Comput. Model. Luca Bergamaschi, Rafael Bru, Angeles Martinez
2011	—	`conf`	Parallel Inexact Constraint Preconditioners for Saddle Point Problems. Euro-Par (2) Luca Bergamaschi, Angeles Martinez
2009	J	`jnl`	A massively parallel exponential integrator for advection-diffusion models. J. Comput. Appl. Math. Angeles Martinez, Luca Bergamaschi, Marco Caliari, Marco Vianello
2008	J	`jnl`	Mixed Constraint Preconditioners for the iterative solution of FE coupled consolidation equations. J. Comput. Phys. Luca Bergamaschi, Massimiliano Ferronato, Giuseppe Gambolati
2007	J	`jnl`	Inexact constraint preconditioners for linear systems arising in interior point methods. Comput. Optim. Appl. Luca Bergamaschi, Jacek Gondzio, Manolo Venturin, Giovanni Zilli
2006	Misc	`conf`	Comparing Leja and Krylov Approximations of Large Scale Matrix Exponentials. International Conference on Computational Science (4) Luca Bergamaschi, Marco Caliari, Angeles Martinez, Marco Vianello
2006	J	`jnl`	Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems. Appl. Math. Comput. Luca Bergamaschi, Angeles Martinez, Giorgio Pini
2005	—	`conf`	A Parallel Exponential Integrator for Large-Scale Discretizations of Advection-Diffusion Models. PVM/MPI Luca Bergamaschi, Marco Caliari, Angeles Martinez, Marco Vianello
2005	—	`conf`	Parallel Solution of Sparse Linear Systems Arising in Advection-Diffusion Problems. Euro-Par Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
2004	—	`conf`	Parallel Acceleration of Krylov Solvers by Factorized Approximate Inverse Preconditioners. VECPAR Luca Bergamaschi, Angeles Martinez
2004	J	`jnl`	Preconditioning Indefinite Systems in Interior Point Methods for Optimization. Comput. Optim. Appl. Luca Bergamaschi, Jacek Gondzio, Giovanni Zilli
2004	Misc	`conf`	The ReLPM Exponential Integrator for FE Discretizations of Advection-Diffusion Equations. International Conference on Computational Science Luca Bergamaschi, Marco Caliari, Marco Vianello
2003	J	`jnl`	Efficient approximation of the exponential operator for discrete 2D advection-diffusion problems. Numer. Linear Algebra Appl. Luca Bergamaschi, Marco Caliari, Marco Vianello
2003	—	`conf`	Eigenanalysis of Finite Element 3D Flow Models by Parallel Jacobi-Davidson. PVM/MPI Luca Bergamaschi, Angeles Martinez, Giorgio Pini, Flavio Sartoretto
2003	—	`conf`	Parallel Solution of Sparse Eigenproblems by Simultaneous Rayleigh Quotient Optimization with FSAI preconditioning. PARCO Luca Bergamaschi, Angeles Martinez, Giorgio Pini
2001	J	`jnl`	Inexact Quasi-Newton methods for sparse systems of nonlinear equations. Future Gener. Comput. Syst. Luca Bergamaschi, Igor Moret, Giovanni Zilli
2001	J	`jnl`	Parallel preconditioning of a sparse eigensolver. Parallel Comput. Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
2000	J	`jnl`	Approximate inverse preconditioning in the parallel solution of sparse eigenproblems. Numer. Linear Algebra Appl. Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
2000	J	`jnl`	Efficient computation of the exponential operator for large, sparse, symmetric matrices. Numer. Linear Algebra Appl. Luca Bergamaschi, Marco Vianello
2000	—	`conf`	Inexact Newton Methods and Mixed Nonlinear Complementary Problems. NAA Luca Bergamaschi, Giovanni Zilli
1999	—	`conf`	Efficient Parallelization of Preconditioned Conjugate Gradient Scheme for Matrices Arising from Discretizations of Diffusion Equations. PP Luca Bergamaschi, Mario Putti
1999	—	`conf`	Factorized approximate inverse preconditioning of a parallel sparse eigensolver. PARCO Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
1999	—	`conf`	Parallel Preconditioning of Sparse Symmetric Eigenproblems. PP Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
1999	—	`conf`	Triangular Finite Volume-Mixed Finite Element Discretization for the Advection-Diffusion Equation. LSSC Annamaria Mazzia, Luca Bergamaschi, Mario Putti
1998	J	`jnl`	A Mixed Finite Element-Finite Volume Formulation of the Black-Oil Model. SIAM J. Sci. Comput. Luca Bergamaschi, Stefano Mantica, Gianmarco Manzini
1997	J	`jnl`	Asymptotic Convergence of Conjugate Gradient Methods for the Partial Symmetric Eigenproblem. Numer. Linear Algebra Appl. Luca Bergamaschi, Giuseppe Gambolati, Giorgio Pini
1997	—	`conf`	Truncated Block Newton and Quasi-Newton Methods for Sparse Systems of Nonlinear Equations. Experiments on Parallel Platforms. PVM/MPI Giovanni Zilli, Luca Bergamaschi