Luca Bergamaschi

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 21

Top Topics

Positive Definite

Convex Quadratic Programming

Top Venues

Numer. Linear Algebra Appl.

Comput. Math. Methods

Publications

Luca Bergamaschi, Angeles Martinez, John W. Pearson, Andreas Potschka
Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization. CoRR (2024)
Fariba Balani Bakrani, Luca Bergamaschi, Ángeles Martínez, Masoud Hajarian
Some preconditioning techniques for a class of double saddle point problems. Numer. Linear Algebra Appl. 31 (4) (2024)
Fariba Bakrani Balani, Luca Bergamaschi, Angeles Martinez, Masoud Hajarian
Some preconditioning techniques for a class of double saddle point problems. CoRR (2023)
Luca Bergamaschi, Massimiliano Ferronato, Giovanni Isotton, Carlo Janna, Angeles Martinez
Parallel matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks. Comput. Math. Appl. 146 (2023)
Santolo Leveque, Luca Bergamaschi, Ángeles Martínez, John W. Pearson
Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization. CoRR (2023)
Luca Bergamaschi, Massimiliano Ferronato, Giovanni Isotton, Carlo Janna, A. Martinez
Parallel Matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks. CoRR (2022)
Lorenzo Capineri, Andrea Bulletti, Cosimo Damiani, Luca Bergamaschi
A Sensing System for Defects Detection in Reinforced Aluminium Panels by Ultrasonic Guided Waves Sensors. SYSINT (2022)
Amanda Carreño, Luca Bergamaschi, Angeles Martinez, Damián Ginestar, Antoni Vidal-Ferràndiz, Gumersindo Verdú
Strategies of Preconditioner Updates for Sequences of Linear Systems Associated with the Neutron Diffusion. Comput. Math. Methods 2022 (2022)
Luca Bergamaschi, Angeles Martinez Calomardo
Parallel Newton-Chebyshev polynomial preconditioners for the conjugate gradient method. Comput. Math. Methods 3 (6) (2021)
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. Numer. Linear Algebra Appl. 28 (4) (2021)
Filippo Zanetti, Luca Bergamaschi
Scalable Block Preconditioners for Linearized Navier-Stokes Equations at High Reynolds Number. Algorithms 13 (8) (2020)
Luca Bergamaschi, José Marín, Angeles Martinez
Compact Quasi-Newton preconditioners for SPD linear systems. CoRR (2020)
Luca Bergamaschi, Angeles Martinez
Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient method. CoRR (2020)
Luca Bergamaschi
A Survey of Low-Rank Updates of Preconditioners for Sequences of Symmetric Linear Systems. Algorithms 13 (4) (2020)
Luca Bergamaschi, José Marín, Ángeles Martínez
Compact quasi-Newton preconditioners for symmetric positive definite linear systems. Numer. Linear Algebra Appl. 27 (6) (2020)
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming. CoRR (2019)
Luca Bergamaschi, Enrico Facca, Angeles Martinez, Mario Putti
Spectral preconditioners for the efficient numerical solution of a continuous branched transport model. J. Comput. Appl. Math. 354 (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)
Luca Bergamaschi, Angeles Martinez
Two-stage spectral preconditioners for iterative eigensolvers. Numer. Linear Algebra Appl. 24 (3) (2017)
Luca Bergamaschi, Ángeles Martínez
Spectral Acceleration of Parallel Iterative Eigensolvers for Large Scale Scientific Computing. PARCO (2017)
Luca Bergamaschi, Angeles Martinez
Efficiently preconditioned inexact Newton methods for large symmetric eigenvalue problems. Optim. Methods Softw. 30 (2) (2015)
Shi-Liang Wu, Luca Bergamaschi, Cui-Xia Li
A note on eigenvalue distribution of constraint-preconditioned symmetric saddle point matrices. Numer. Linear Algebra Appl. 21 (1) (2014)
Luca Bergamaschi, Rafael Bru, Angeles Martinez, José Mas, Mario Putti
Low-rank update of preconditioners for the nonlinear Richards equation. Math. Comput. Model. 57 (7-8) (2013)
Luca Bergamaschi, Angeles Martinez
Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems. J. Appl. Math. 2013 (2013)
Luca Bergamaschi, Angeles Martinez
Banded target matrices and recursive FSAI for parallel preconditioning. Numer. Algorithms 61 (2) (2012)
Luca Bergamaschi, Angeles Martinez, Giorgio Pini
Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning. J. Appl. Math. 2012 (2012)
Luca Bergamaschi, Rafael Bru, Angeles Martinez, Mario Putti
Quasi-Newton acceleration of ILU preconditioners for nonlinear two-phase flow equations in porous media. Adv. Eng. Softw. 46 (1) (2012)
Luca Bergamaschi
On eigenvalue distribution of constraint-preconditioned symmetric saddle point matrices. Numer. Linear Algebra Appl. 19 (4) (2012)
Luca Bergamaschi, Angeles Martinez
Parallel Inexact Constraint Preconditioners for Saddle Point Problems. Euro-Par (2) (2011)
Luca Bergamaschi, Jacek Gondzio, Manolo Venturin, Giovanni Zilli
Erratum to: Inexact constraint preconditioners for linear systems arising in interior point methods. Comput. Optim. Appl. 49 (2) (2011)
Luca Bergamaschi, Angeles Martinez
FSAI-based parallel Mixed Constraint Preconditioners for saddle point problems arising in geomechanics. J. Comput. Appl. Math. 236 (3) (2011)
Luca Bergamaschi, Rafael Bru, Angeles Martinez
Low-rank update of preconditioners for the inexact Newton method with SPD Jacobian. Math. Comput. Model. 54 (7-8) (2011)
Angeles Martinez, Luca Bergamaschi, Marco Caliari, Marco Vianello
A massively parallel exponential integrator for advection-diffusion models. J. Comput. Appl. Math. 231 (1) (2009)
Luca Bergamaschi, Massimiliano Ferronato, Giuseppe Gambolati
Mixed Constraint Preconditioners for the iterative solution of FE coupled consolidation equations. J. Comput. Phys. 227 (23) (2008)
Luca Bergamaschi, Jacek Gondzio, Manolo Venturin, Giovanni Zilli
Inexact constraint preconditioners for linear systems arising in interior point methods. Comput. Optim. Appl. 36 (2-3) (2007)
Luca Bergamaschi, Angeles Martinez, Giorgio Pini
Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems. Appl. Math. Comput. 175 (2) (2006)
Luca Bergamaschi, Marco Caliari, Angeles Martinez, Marco Vianello
Comparing Leja and Krylov Approximations of Large Scale Matrix Exponentials. International Conference on Computational Science (4) (2006)
Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
Parallel Solution of Sparse Linear Systems Arising in Advection-Diffusion Problems. Euro-Par (2005)
Luca Bergamaschi, Marco Caliari, Angeles Martinez, Marco Vianello
A Parallel Exponential Integrator for Large-Scale Discretizations of Advection-Diffusion Models. PVM/MPI (2005)
Luca Bergamaschi, Marco Caliari, Marco Vianello
The ReLPM Exponential Integrator for FE Discretizations of Advection-Diffusion Equations. International Conference on Computational Science (2004)
Luca Bergamaschi, Angeles Martinez
Parallel Acceleration of Krylov Solvers by Factorized Approximate Inverse Preconditioners. VECPAR (2004)
Luca Bergamaschi, Jacek Gondzio, Giovanni Zilli
Preconditioning Indefinite Systems in Interior Point Methods for Optimization. Comput. Optim. Appl. 28 (2) (2004)
Luca Bergamaschi, Marco Caliari, Marco Vianello
Efficient approximation of the exponential operator for discrete 2D advection-diffusion problems. Numer. Linear Algebra Appl. 10 (3) (2003)
Luca Bergamaschi, Angeles Martinez, Giorgio Pini, Flavio Sartoretto
Eigenanalysis of Finite Element 3D Flow Models by Parallel Jacobi-Davidson. PVM/MPI (2003)
Luca Bergamaschi, Angeles Martinez, Giorgio Pini
Parallel Solution of Sparse Eigenproblems by Simultaneous Rayleigh Quotient Optimization with FSAI preconditioning. PARCO (2003)
Luca Bergamaschi, Igor Moret, Giovanni Zilli
Inexact Quasi-Newton methods for sparse systems of nonlinear equations. Future Gener. Comput. Syst. 18 (1) (2001)
Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
Parallel preconditioning of a sparse eigensolver. Parallel Comput. 27 (7) (2001)
Luca Bergamaschi, Giovanni Zilli
Inexact Newton Methods and Mixed Nonlinear Complementary Problems. NAA (2000)
Luca Bergamaschi, Marco Vianello
Efficient computation of the exponential operator for large, sparse, symmetric matrices. Numer. Linear Algebra Appl. 7 (1) (2000)
Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
Approximate inverse preconditioning in the parallel solution of sparse eigenproblems. Numer. Linear Algebra Appl. 7 (3) (2000)
Luca Bergamaschi, Mario Putti
Efficient Parallelization of Preconditioned Conjugate Gradient Scheme for Matrices Arising from Discretizations of Diffusion Equations. PPSC (1999)
Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
Factorized approximate inverse preconditioning of a parallel sparse eigensolver. PARCO (1999)
Annamaria Mazzia, Luca Bergamaschi, Mario Putti
Triangular Finite Volume-Mixed Finite Element Discretization for the Advection-Diffusion Equation. LSSC (1999)
Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto
Parallel Preconditioning of Sparse Symmetric Eigenproblems. PPSC (1999)
Luca Bergamaschi, Stefano Mantica, Gianmarco Manzini
A Mixed Finite Element-Finite Volume Formulation of the Black-Oil Model. SIAM J. Sci. Comput. 20 (3) (1998)
Luca Bergamaschi, Giuseppe Gambolati, Giorgio Pini
Asymptotic Convergence of Conjugate Gradient Methods for the Partial Symmetric Eigenproblem. Numer. Linear Algebra Appl. 4 (2) (1997)
Giovanni Zilli, Luca Bergamaschi
Truncated Block Newton and Quasi-Newton Methods for Sparse Systems of Nonlinear Equations. Experiments on Parallel Platforms. PVM/MPI (1997)