A. Centeno, J. Acebrón, J. Monteiro, "Sensitivity analysis of fractional linear systems based on random walks with negligible memory usage", submitted to Numerical Algorithms, Aug 2025. (preview at arXiv)
N. Guidotti, P. Martinsson, J. Acebrón, J. Monteiro, "Accelerating a Restarted Krylov Method for Matrix Functions with Randomization", submitted to the SIAM Journal on Scientific Computing, Apr 2025. (preview at arXiv)
I. Ferreira, J. Acebrón, J. Monteiro, "Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems", submitted to Journal of Parallel and Distributed Computing, Feb 2024. (preview at arXiv)
I. Ferreira, J. Acebrón, J. Monteiro, "Survey of a Class of Iterative Row-Action Methods: The Kaczmarz Method", Numerical Analysis, Sep 2024, https://doi.org/10.1007/s11075-024-01945-2.
N. Guidotti, J. Acebrón, J. Monteiro, "A stochastic method for solving time-fractional differential equations", Computers and Mathematics with Applications, Volume 159, pages 240-253, Apr 2024, ISSN 0898-1221, https://doi.org/10.1016/j.camwa.2024.02.020.
N. Guidotti, J. Acebrón, J. Monteiro, "A fast Monte Carlo algorithm for evaluating matrix functions with application in complex networks", Journal of Scientific Computing, Volume 99, Number 44, Apr 2024, https://doi.org/10.1007/s10915-024-02500-w.
F. Magalhães, J. Monteiro, J. Acebrón, J. R. Herrero, "A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks", Future Generation Computer Systems, Volume 127, 2022, pages 320-330, ISSN 0167-739X, https://doi.org/10.1016/j.future.2021.09.014. (Editor's Choice Distinction 2022)
PhD Thesis
N. Guidotti, "Efficient Stochastic Algorithms for Computing Matrix Functions", Instituto Superior Técnico, expected Sep 2025.
MSc Thesis
A. Falacho, "Efficient Parallel Implementation of Radial Basis Functions Generated Finite Differences using Asynchronous Techniques", Instituto Superior Técnico, June 2025.
