Journal Papers
- 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