Angeles Martinez

Orcid: 0000-0003-4826-1114

Affiliations:
  • University of Trieste, Department of Mathematics and Geosciences, Italy


According to our database1, Angeles Martinez authored at least 36 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Parallel matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks.
Comput. Math. Appl., September, 2023

Some preconditioning techniques for a class of double saddle point problems.
CoRR, 2023

Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization.
CoRR, 2023

Deep Neural Networks Training by Stochastic Quasi-Newton Trust-Region Methods.
Algorithms, 2023

2022
Strategies of Preconditioner Updates for Sequences of Linear Systems Associated with the Neutron Diffusion.
Comput. Math. Methods, September, 2022

On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning.
CoRR, 2022

A stochastic nonmonotone trust-region training algorithm for image classification.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

A Stochastic Modified Limited Memory BFGS for Training Deep Neural Networks.
Proceedings of the Intelligent Computing, 2022

2021
Parallel Newton-Chebyshev polynomial preconditioners for the conjugate gradient method.
Comput. Math. Methods, November, 2021

A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming.
Numer. Linear Algebra Appl., 2021

2020
Quadrature-based polynomial optimization.
Optim. Lett., 2020

Compact quasi-Newton preconditioners for symmetric positive definite linear systems.
Numer. Linear Algebra Appl., 2020

Compact Quasi-Newton preconditioners for SPD linear systems.
CoRR, 2020

2019
RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels.
J. Sci. Comput., 2019

Fast and stable rational RBF-based partition of unity interpolation.
J. Comput. Appl. Math., 2019

Spectral preconditioners for the efficient numerical solution of a continuous branched transport model.
J. Comput. Appl. Math., 2019

2018
BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming.
Numer. Linear Algebra Appl., 2018

2017
Two-stage spectral preconditioners for iterative eigensolvers.
Numer. Linear Algebra Appl., 2017

Spectral Acceleration of Parallel Iterative Eigensolvers for Large Scale Scientific Computing.
Proceedings of the Parallel Computing is Everywhere, 2017

2016
Tuned preconditioners for the eigensolution of large SPD matrices arising in engineering problems.
Numer. Linear Algebra Appl., 2016

2015
Efficiently preconditioned inexact Newton methods for large symmetric eigenvalue problems.
Optim. Methods Softw., 2015

2013
Low-rank update of preconditioners for the nonlinear Richards equation.
Math. Comput. Model., 2013

Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems.
J. Appl. Math., 2013

2012
Banded target matrices and recursive FSAI for parallel preconditioning.
Numer. Algorithms, 2012

Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning.
J. Appl. Math., 2012

Quasi-Newton acceleration of ILU preconditioners for nonlinear two-phase flow equations in porous media.
Adv. Eng. Softw., 2012

2011
Low-rank update of preconditioners for the inexact Newton method with SPD Jacobian.
Math. Comput. Model., 2011

FSAI-based parallel Mixed Constraint Preconditioners for saddle point problems arising in geomechanics.
J. Comput. Appl. Math., 2011

Parallel Inexact Constraint Preconditioners for Saddle Point Problems.
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2009
A massively parallel exponential integrator for advection-diffusion models.
J. Comput. Appl. Math., 2009

2006
Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems.
Appl. Math. Comput., 2006

Comparing Leja and Krylov Approximations of Large Scale Matrix Exponentials.
Proceedings of the Computational Science, 2006

2005
A Parallel Exponential Integrator for Large-Scale Discretizations of Advection-Diffusion Models.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2005

2004
Parallel Acceleration of Krylov Solvers by Factorized Approximate Inverse Preconditioners.
Proceedings of the High Performance Computing for Computational Science, 2004

2003
Eigenanalysis of Finite Element 3D Flow Models by Parallel Jacobi-Davidson.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface,10th European PVM/MPI Users' Group Meeting, Venice, Italy, September 29, 2003

Parallel Solution of Sparse Eigenproblems by Simultaneous Rayleigh Quotient Optimization with FSAI preconditioning.
Proceedings of the Parallel Computing: Software Technology, 2003


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