Ángeles Martínez

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A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming pdf

Luca Bergamaschi, Jacek Gondzio, John W. Pearson, 2019, Numer. Linear Algebra Appl..

Quasi-Newton preconditioners for the inexact Newton method.

R. Bru, M. Putti, L. Bergamaschi, 2006 .

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

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

Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization

L. Bergamaschi, J. Pearson, Ángeles Martínez, 2023, ArXiv.

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..

Efficiently preconditioned inexact Newton methods for large symmetric eigenvalue problems

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

A New Preconditioning Approachfor an Interior Point–Proximal Method of Multipliers for Linear and Convex Quadratic Programming

J. Gondzio, L. Bergamaschi, J. Pearson, 2020 .

Compact quasi‐Newton preconditioners for symmetric positive definite linear systems

Luca Bergamaschi, José Marín, Ángeles Vidal Martínez, 2020, Numer. Linear Algebra Appl..

Compact Quasi-Newton preconditioners for SPD linear systems pdf

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

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

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

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..

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.

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.

Fast and stable rational RBF-based partition of unity interpolation

Emma Perracchione, Stefano De Marchi, A. Martínez, 2019, J. Comput. Appl. Math..

RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels

Emma Perracchione, Stefano De Marchi, A. Martínez, 2018, Journal of Scientific Computing.

A massively parallel exponential integrator for advection-diffusion models

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

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

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

Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems

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

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

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

Parallel Acceleration of Krylov Solvers by Factorized Approximate Inverse Preconditioners

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

Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning

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

BFGS‐like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming

Daniela di Serafino, Luca Bergamaschi, Valentina De Simone, 2018, Numer. Linear Algebra Appl..

Parallel Inexact Constraint Preconditioners for Saddle Point Problems

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

Low-rank update of preconditioners for the nonlinear Richards equation

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

Strategies of Preconditioner Updates for Sequences of Linear Systems Associated with the Neutron Diffusion

L. Bergamaschi, D. Ginestar, Ángeles Martínez, 2022, Comput. Math. Methods.

A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming

J. Gondzio, L. Bergamaschi, J. Pearson, 2019, Numer. Linear Algebra Appl..

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

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