Ángeles Martínez

12 papers Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization.
Comput. Optim. Appl.
Luca Bergamaschi, Ángeles Martínez, John W. Pearson, Andreas Potschka
2024 J jnl
Parallel-in-Time Solver for the All-at-Once Runge-Kutta Discretization.
SIAM J. Matrix Anal. Appl.
Santolo Leveque, Luca Bergamaschi, Ángeles Martínez, John W. Pearson
2024 J jnl
Some preconditioning techniques for a class of double saddle point problems.
Numer. Linear Algebra Appl.
Fariba Balani Bakrani, Luca Bergamaschi, Ángeles Martínez, Masoud Hajarian
2023 — conf
Combined First- and Second-Order Directions for Deep Neural Networks Training.
NUMTA (1)
Ángeles Martínez, Marco Viola, Mahsa Yousefi
2023 J jnl
Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization.
CoRR
Santolo Leveque, Luca Bergamaschi, Ángeles Martínez, John W. Pearson
2021 J jnl
A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming.
Numer. Linear Algebra Appl.
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
2020 J jnl
Compact quasi-Newton preconditioners for symmetric positive definite linear systems.
Numer. Linear Algebra Appl.
Luca Bergamaschi, José Marín, Ángeles Martínez
2019 J jnl
A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming.
CoRR
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
2019 J jnl
Fast and stable rational RBF-based partition of unity interpolation.
J. Comput. Appl. Math.
Stefano De Marchi, Ángeles Martínez, Emma Perracchione
2019 J jnl
RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels.
J. Sci. Comput.
Stefano De Marchi, Ángeles Martínez, Emma Perracchione, M. Rossini
2018 J jnl
BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming.
Numer. Linear Algebra Appl.
Luca Bergamaschi, Valentina De Simone, Daniela di Serafino, Ángeles Martínez
2017 — conf
Spectral Acceleration of Parallel Iterative Eigensolvers for Large Scale Scientific Computing.
PARCO
Luca Bergamaschi, Ángeles Martínez