Angeles Martinez

34 papers Misc 1Journal 28Unranked 5

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`	Spectral Analysis of Block Diagonally Preconditioned Multiple Saddle-Point Matrices with Inexact Schur Complements. CoRR Marco Pilotto, Luca Bergamaschi, Angeles Martinez
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`	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`	A non-monotone trust-region method with noisy oracles and additional sampling. Comput. Optim. Appl. Natasa Krejic, Natasa Krklec Jerinkic, Angeles Martinez, Mahsa Yousefi
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`	Deep Neural Networks Training by Stochastic Quasi-Newton Trust-Region Methods. Algorithms Mahsa Yousefi, Angeles Martinez
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	J	`jnl`	On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning. CoRR Mahsa Yousefi, Angeles Martinez
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
2020	J	`jnl`	Compact Quasi-Newton preconditioners for SPD linear systems. CoRR Luca Bergamaschi, José Marín, Angeles Martinez
2020	J	`jnl`	Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient method. CoRR Luca Bergamaschi, Angeles Martinez
2020	J	`jnl`	Quadrature-based polynomial optimization. Optim. Lett. Angeles Martinez, Federico Piazzon, Alvise Sommariva, Marco Vianello
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
2017	J	`jnl`	Two-stage spectral preconditioners for iterative eigensolvers. Numer. Linear Algebra Appl. Luca Bergamaschi, Angeles Martinez
2016	J	`jnl`	Tuned preconditioners for the eigensolution of large SPD matrices arising in engineering problems. Numer. Linear Algebra Appl. Angeles Martinez
2015	J	`jnl`	Efficiently preconditioned inexact Newton methods for large symmetric eigenvalue problems. Optim. Methods Softw. Luca Bergamaschi, Angeles Martinez
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`	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`	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
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
2004	—	`conf`	Parallel Acceleration of Krylov Solvers by Factorized Approximate Inverse Preconditioners. VECPAR Luca Bergamaschi, Angeles Martinez
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