Truncated Block Newton and Quasi-Newton Methods for Sparse Systems of Nonlinear Equations. Experiments on Parallel Platforms. - Giovanni Zilli; Luca Bergamaschi (PVM/MPI, 1997)

Asymptotic Convergence of Conjugate Gradient Methods for the Partial Symmetric Eigenproblem. - Luca Bergamaschi; Giuseppe Gambolati; Giorgio Pini (Numer. Linear Algebra Appl., 1997)

A Mixed Finite Element-Finite Volume Formulation of the Black-Oil Model. - Luca Bergamaschi; Stefano Mantica; Gianmarco Manzini (SIAM J. Sci. Comput., 1998)

Triangular Finite Volume-Mixed Finite Element Discretization for the Advection-Diffusion Equation. - Annamaria Mazzia; Luca Bergamaschi; Mario Putti (LSSC, 1999)

Factorized approximate inverse preconditioning of a parallel sparse eigensolver. - Luca Bergamaschi; Giorgio Pini; Flavio Sartoretto (PARCO, 1999)

Efficient Parallelization of Preconditioned Conjugate Gradient Scheme for Matrices Arising from Discretizations of Diffusion Equations. - Luca Bergamaschi; Mario Putti (PP, 1999)

Parallel Preconditioning of Sparse Symmetric Eigenproblems. - Luca Bergamaschi; Giorgio Pini; Flavio Sartoretto (PP, 1999)

Inexact Newton Methods and Mixed Nonlinear Complementary Problems. - Luca Bergamaschi; Giovanni Zilli (NAA, 2000)

Approximate inverse preconditioning in the parallel solution of sparse eigenproblems. - Luca Bergamaschi; Giorgio Pini; Flavio Sartoretto (Numer. Linear Algebra Appl., 2000)

Efficient computation of the exponential operator for large, sparse, symmetric matrices. - Luca Bergamaschi; Marco Vianello (Numer. Linear Algebra Appl., 2000)

Inexact Quasi-Newton methods for sparse systems of nonlinear equations. - Luca Bergamaschi; Igor Moret; Giovanni Zilli (Future Gener. Comput. Syst., 2001)

Parallel preconditioning of a sparse eigensolver. - Luca Bergamaschi; Giorgio Pini; Flavio Sartoretto (Parallel Comput., 2001)

Parallel Solution of Sparse Eigenproblems by Simultaneous Rayleigh Quotient Optimization with FSAI preconditioning. - Luca Bergamaschi; Angeles Martinez 001; Giorgio Pini (PARCO, 2003)

Eigenanalysis of Finite Element 3D Flow Models by Parallel Jacobi-Davidson. - Luca Bergamaschi; Angeles Martinez 001; Giorgio Pini; Flavio Sartoretto (PVM/MPI, 2003)

Efficient approximation of the exponential operator for discrete 2D advection-diffusion problems. - Luca Bergamaschi; Marco Caliari; Marco Vianello (Numer. Linear Algebra Appl., 2003)

The ReLPM Exponential Integrator for FE Discretizations of Advection-Diffusion Equations. - Luca Bergamaschi; Marco Caliari; Marco Vianello (International Conference on Computational Science, 2004)

Parallel Acceleration of Krylov Solvers by Factorized Approximate Inverse Preconditioners. - Luca Bergamaschi; Angeles Martinez 001 (VECPAR, 2004)

Preconditioning Indefinite Systems in Interior Point Methods for Optimization. - Luca Bergamaschi; Jacek Gondzio; Giovanni Zilli (Comput. Optim. Appl., 2004)

Parallel Solution of Sparse Linear Systems Arising in Advection-Diffusion Problems. - Luca Bergamaschi; Giorgio Pini; Flavio Sartoretto (Euro-Par, 2005)

A Parallel Exponential Integrator for Large-Scale Discretizations of Advection-Diffusion Models. - Luca Bergamaschi; Marco Caliari; Angeles Martinez 001; Marco Vianello (PVM/MPI, 2005)

Comparing Leja and Krylov Approximations of Large Scale Matrix Exponentials. - Luca Bergamaschi; Marco Caliari; Angeles Martinez 001; Marco Vianello (International Conference on Computational Science (4), 2006)

Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems. - Luca Bergamaschi; Angeles Martinez 001; Giorgio Pini (Appl. Math. Comput., 2006)

Inexact constraint preconditioners for linear systems arising in interior point methods. - Luca Bergamaschi; Jacek Gondzio; Manolo Venturin; Giovanni Zilli (Comput. Optim. Appl., 2007)

Mixed Constraint Preconditioners for the iterative solution of FE coupled consolidation equations. - Luca Bergamaschi; Massimiliano Ferronato; Giuseppe Gambolati (J. Comput. Phys., 2008)

A massively parallel exponential integrator for advection-diffusion models. - Angeles Martinez 001; Luca Bergamaschi; Marco Caliari; Marco Vianello (J. Comput. Appl. Math., 2009)

Parallel Inexact Constraint Preconditioners for Saddle Point Problems. - Luca Bergamaschi; Angeles Martinez 001 (Euro-Par (2), 2011)

Erratum to: Inexact constraint preconditioners for linear systems arising in interior point methods. - Luca Bergamaschi; Jacek Gondzio; Manolo Venturin; Giovanni Zilli (Comput. Optim. Appl., 2011)

FSAI-based parallel Mixed Constraint Preconditioners for saddle point problems arising in geomechanics. - Luca Bergamaschi; Angeles Martinez 001 (J. Comput. Appl. Math., 2011)

Low-rank update of preconditioners for the inexact Newton method with SPD Jacobian. - Luca Bergamaschi; Rafael Bru; Angeles Martinez 001 (Math. Comput. Model., 2011)

Quasi-Newton acceleration of ILU preconditioners for nonlinear two-phase flow equations in porous media. - Luca Bergamaschi; Rafael Bru; Angeles Martinez 001; Mario Putti (Adv. Eng. Softw., 2012)

Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning. - Luca Bergamaschi; Angeles Martinez 001; Giorgio Pini (J. Appl. Math., 2012)

Banded target matrices and recursive FSAI for parallel preconditioning. - Luca Bergamaschi; Angeles Martinez 001 (Numer. Algorithms, 2012)

On eigenvalue distribution of constraint-preconditioned symmetric saddle point matrices. - Luca Bergamaschi (Numer. Linear Algebra Appl., 2012)

Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems. - Luca Bergamaschi; Angeles Martinez 001 (J. Appl. Math., 2013)

Low-rank update of preconditioners for the nonlinear Richards equation. - Luca Bergamaschi; Rafael Bru; Angeles Martinez 001; José Mas; Mario Putti (Math. Comput. Model., 2013)

A note on eigenvalue distribution of constraint-preconditioned symmetric saddle point matrices. - Shi-Liang Wu; Luca Bergamaschi; Cui-Xia Li (Numer. Linear Algebra Appl., 2014)

Efficiently preconditioned inexact Newton methods for large symmetric eigenvalue problems. - Luca Bergamaschi; Angeles Martinez 001 (Optim. Methods Softw., 2015)

Spectral Acceleration of Parallel Iterative Eigensolvers for Large Scale Scientific Computing. - Luca Bergamaschi; Ángeles Martínez 001 (PARCO, 2017)

Two-stage spectral preconditioners for iterative eigensolvers. - Luca Bergamaschi; Angeles Martinez 001 (Numer. Linear Algebra Appl., 2017)

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)

Spectral preconditioners for the efficient numerical solution of a continuous branched transport model. - Luca Bergamaschi; Enrico Facca; Angeles Martinez 001; Mario Putti (J. Comput. Appl. Math., 2019)

A Survey of Low-Rank Updates of Preconditioners for Sequences of Symmetric Linear Systems. - Luca Bergamaschi (Algorithms, 2020)

Scalable Block Preconditioners for Linearized Navier-Stokes Equations at High Reynolds Number. - Filippo Zanetti; Luca Bergamaschi (Algorithms, 2020)

Compact Quasi-Newton preconditioners for SPD linear systems. - Luca Bergamaschi; José Marín; Angeles Martinez 001 (CoRR, 2020)

Compact quasi-Newton preconditioners for symmetric positive definite linear systems. - Luca Bergamaschi; José Marín; Ángeles Martínez 001 (Numer. Linear Algebra Appl., 2020)

A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. - Luca Bergamaschi; Jacek Gondzio; Ángeles Martínez 001; John W. Pearson; Spyridon Pougkakiotis (Numer. Linear Algebra Appl., 2021)

Parallel Newton-Chebyshev polynomial preconditioners for the conjugate gradient method. - Luca Bergamaschi; Ángeles Martínez Calomardo (Comput. Math. Methods, 2021)

A Sensing System for Defects Detection in Reinforced Aluminium Panels by Ultrasonic Guided Waves Sensors. - Lorenzo Capineri; Andrea Bulletti; Cosimo Damiani; Luca Bergamaschi (SYSINT, 2022)

Strategies of Preconditioner Updates for Sequences of Linear Systems Associated with the Neutron Diffusion. - Amanda Carreño; Luca Bergamaschi; Angeles Martinez 001; Damián Ginestar; Antoni Vidal-Ferràndiz; Gumersindo Verdú (Comput. Math. Methods, 2022)

Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization. - Santolo Leveque; Luca Bergamaschi; Ángeles Martínez 001; John W. Pearson (CoRR, 2023)

Parallel matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks. - Luca Bergamaschi; Massimiliano Ferronato; Giovanni Isotton; Carlo Janna; Angeles Martinez 001 (Comput. Math. Appl., 2023)

Parallel-in-Time Solver for the All-at-Once Runge-Kutta Discretization. - Santolo Leveque; Luca Bergamaschi; Ángeles Martínez 001; John W. Pearson (SIAM J. Matrix Anal. Appl., 2024)

Some preconditioning techniques for a class of double saddle point problems. - Fariba Balani Bakrani; Luca Bergamaschi; Ángeles Martínez 001; Masoud Hajarian (Numer. Linear Algebra Appl., 2024)

Triangular preconditioners for double saddle point linear systems arising in the mixed form of poroelasticity equations. - Luca Bergamaschi; Massimiliano Ferronato; Angeles Martinez 001 (CoRR, 2025)

Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization. - Luca Bergamaschi; Ángeles Martínez 001; John W. Pearson; Andreas Potschka (Comput. Optim. Appl., 2025)

Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices. - Luca Bergamaschi; Angeles Martinez 001; John W. Pearson; Andreas Potschka (CoRR, 2025)