Ángeles Martínez

Instituto Nacional de Cancerología — Mexico

Computer Science · Physical Sciences

15h-index551citations72works2.52yr avg
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Research Topics

Matrix Theory and Algorithms(44), Advanced Numerical Methods in Computational Mathematics(31), Electromagnetic Scattering and Analysis(29), Advanced Optimization Algorithms Research(14), Numerical methods for differential equations(10)

Publications72 total

Eficacia de la Terapia de Aceptación y Compromiso (ACT) en pacientes con cáncer de mama
LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades·2025Open Access
Triangular preconditioners for double saddle point linear systems arising in the mixed form of poroelasticity equations
arXiv (Cornell University)·2025Open Access
Combined First- and Second-Order Directions for Deep Neural Networks Training
Lecture notes in computer science·2024
Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization
Computational Optimization and Applications·2024· 3 citedOpen Access
Parallel-in-Time Solver for the All-at-Once Runge–Kutta Discretization
SIAM Journal on Matrix Analysis and Applications·2024· 6 citedOpen Access
A non-monotone trust-region method with noisy oracles and additional sampling
Computational Optimization and Applications·2024· 4 citedOpen Access
Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization
Edinburgh Research Explorer (University of Edinburgh)·2024Open Access
Some preconditioning techniques for a class of double saddle point problems
Numerical Linear Algebra with Applications·2024· 7 citedOpen Access
Deep Neural Networks Training by Stochastic Quasi-Newton Trust-Region Methods
Algorithms·2023· 4 citedOpen Access
A non-monotone trust-region method with noisy oracles and additional sampling
arXiv (Cornell University)·2023Open Access
Parallel matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks
Computers & Mathematics with Applications·2023· 2 citedOpen Access
Some preconditioning techniques for a class of double saddle point problems
arXiv (Cornell University)·2023· 2 citedOpen Access
Parallel-in-Time Solver for the All-at-Once Runge--Kutta Discretization
Edinburgh Research Explorer (University of Edinburgh)·2023Open Access
Strategies of Preconditioner Updates for Sequences of Linear Systems Associated with the Neutron Diffusion
Computational and Mathematical Methods·2022Open Access
On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning
arXiv (Cornell University)·2022· 2 citedOpen Access
Parallel Newton–Chebyshev polynomial preconditioners for the conjugate gradient method
Computational and Mathematical Methods·2021Open Access
A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming
Numerical Linear Algebra with Applications·2021· 18 citedOpen Access
Parallel Newton-Chebyshev Preconditioners for the Conjugate Gradient method
ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)·2021· 4 citedOpen Access
Compact quasi‐Newton preconditioners for symmetric positive definite linear systems
Numerical Linear Algebra with Applications·2020· 4 citedOpen Access
Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate\n Gradient method
arXiv (Cornell University)·2020Open Access
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Frequent Co-authors

Luca Bergamaschi(31), J. A. Rayas(5), Giorgio Pini(5), Rafael Bru(4), Mario Putti(3), Stefano De Marchı(3), Emma Perracchione(3), Marco Caliari(3), Michelangelo Vianello(3), John W. Pearson(3), J. Marı́n(3), Mahsa Yousefi(3), M. Rossini(2), J. Mas(2), Fariba Balani Bakrani(2), Héctor José Puga Soberanes(1), Ramón Rodrı́guez-Vera(1), Enrico Facca(1), Jacek Gondzio(1), Spyridon Pougkakiotis(1)