Angeles Martinez

发表

Two-stage spectral preconditioners for iterative eigensolvers

Luca Bergamaschi, Angeles Martinez, 2017, Numer. Linear Algebra Appl..

Spectral preconditioners for the efficient numerical solution of a continuous branched transport model

Luca Bergamaschi, Angeles Martinez, Enrico Facca, 2019, J. Comput. Appl. Math..

A massively parallel exponential integrator for advection-diffusion models

Marco Vianello, Luca Bergamaschi, Marco Caliari, 2009, J. Comput. Appl. Math..

Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems

Luca Bergamaschi, Angeles Martinez, L. Bergamaschi, 2013, J. Appl. Math..

Comparing Leja and Krylov Approximations of Large Scale Matrix Exponentials

Marco Vianello, Luca Bergamaschi, Marco Caliari, 2006, International Conference on Computational Science.

A Parallel Exponential Integrator for Large-Scale Discretizations of Advection-Diffusion Models

Marco Vianello, Luca Bergamaschi, Marco Caliari, 2005, PVM/MPI.

Parallel Computing is Everywhere

Luca Bergamaschi, Angeles Martinez, 2018 .

Parallel Inexact Constraint Preconditioners for Saddle Point Problems

Luca Bergamaschi, Angeles Martinez, L. Bergamaschi, 2011, Euro-Par.

Banded target matrices and recursive FSAI for parallel preconditioning

Luca Bergamaschi, Angeles Martinez, 2012, Numerical Algorithms.

Compact Quasi-Newton preconditioners for SPD linear systems pdf

Luca Bergamaschi, Angeles Martinez, Jose Marin, 2020, ArXiv.

Tuned preconditioners for the eigensolution of large SPD matrices arising in engineering problems

Angeles Martinez, Ángeles Martínez, 2016, Numer. Linear Algebra Appl..

Quasi-Newton acceleration of ILU preconditioners for nonlinear two-phase flow equations in porous media

Luca Bergamaschi, Rafael Bru, Angeles Martinez, 2012, Adv. Eng. Softw..

Parallel Acceleration of Krylov Solvers by Factorized Approximate Inverse Preconditioners

Luca Bergamaschi, Angeles Martinez, L. Bergamaschi, 2004, VECPAR.

Parallel Solution of Sparse Eigenproblems by Simultaneous Rayleigh Quotient Optimization with FSAI preconditioning

Luca Bergamaschi, Giorgio Pini, Angeles Martinez, 2003, PARCO.

FSAI-based parallel Mixed Constraint Preconditioners for saddle point problems arising in geomechanics

Luca Bergamaschi, Angeles Martinez, L. Bergamaschi, 2011, J. Comput. Appl. Math..

Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems

Luca Bergamaschi, Giorgio Pini, Angeles Martinez, 2006, Appl. Math. Comput..

Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient method pdf

Luca Bergamaschi, Angeles Martinez, L. Bergamaschi, 2020, Comput. Math. Methods.

Eigenanalysis of Finite Element 3D Flow Models by Parallel Jacobi-Davidson

Luca Bergamaschi, Giorgio Pini, Flavio Sartoretto, 2003, PVM/MPI.

Efficiently preconditioned inexact Newton methods for large symmetric eigenvalue problems

Luca Bergamaschi, Angeles Martinez, L. Bergamaschi, 2013, Optim. Methods Softw..

Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning

Luca Bergamaschi, Giorgio Pini, Angeles Martinez, 2012, J. Appl. Math..

Low-rank update of preconditioners for the nonlinear Richards equation

Luca Bergamaschi, Rafael Bru, Angeles Martinez, 2013, Math. Comput. Model..

Low-rank update of preconditioners for the inexact Newton method with SPD Jacobian

Luca Bergamaschi, Rafael Bru, Angeles Martinez, 2011, Math. Comput. Model..

Quadrature-based polynomial optimization

Alvise Sommariva, Marco Vianello, Angeles Martinez, 2020, Optim. Lett..

Block Preconditioning Matrices for the Newton Method to Compute the Dominant λ-Modes Associated with the Neutron Diffusion Equation

Gumersindo Verdú, Luca Bergamaschi, Antoni Vidal-Ferràndiz, 2019, Mathematical and Computational Applications.

RMCP: Relaxed Mixed Constraint Preconditioners for Saddle Point Linear Systems arising in Geomechanics

Luca Bergamaschi, Angeles Martinez, L. Bergamaschi, 2012 .