Noise-mediated cooperative behavior in a system of coupled DC SQUIDs. - Juan A. Acebrón; Adi R. Bulsara; Wouter-Jan Rappel (ISCAS (4), 2002)

Second Harmonics Effects in Random Duffing Oscillators. - Juan A. Acebrón; Renato Spigler (SIAM J. Appl. Math., 2005)

Domain Decomposition Solution of Elliptic Boundary-Value Problems via Monte Carlo and Quasi-Monte Carlo Methods. - Juan A. Acebrón; Maria Pia Busico; Piero Lanucara; Renato Spigler (SIAM J. Sci. Comput., 2005)

A New Domain Decomposition Approach Suited for Grid Computing. - Juan A. Acebrón; Raúl Durán; Rafael Rico; Renato Spigler (PARA, 2006)

A Fully Scalable Parallel Algorithm for Solving Elliptic Partial Differential Equations. - Juan A. Acebrón; Renato Spigler (Euro-Par, 2007)

Scalability and Performance Analysis of a Probabilistic Domain Decomposition Method. - Juan A. Acebrón; Renato Spigler (PPAM, 2007)

Supercomputing applications to the numerical modeling of industrial and applied mathematics problems. - Juan A. Acebrón; Renato Spigler (J. Supercomput., 2007)

On the Performance of a New Parallel Algorithm for Large-Scale Simulations of Nonlinear Partial Differential Equations. - Juan A. Acebrón; Ángel Rodríguez-Rozas; Renato Spigler (PPAM (1), 2009)

Parallelising a simulator for the analysis of electromagnetic radiation using MUMPS library. - R. Rico López; V. Escuder Cabañas; Raúl Durán Díaz; L. E. García-Castillo; I. Gómez-Revuelto; Juan A. Acebrón (VALUETOOLS, 2009)

Domain decomposition solution of nonlinear two-dimensional parabolic problems by random trees. - Juan A. Acebrón; Ángel Rodríguez-Rozas; Renato Spigler (J. Comput. Phys., 2009)

A fully scalable algorithm suited for petascale computing and beyond. - Juan A. Acebrón; Ángel Rodríguez-Rozas; Renato Spigler (Comput. Sci. Res. Dev., 2010)

Efficient Parallel Solution of Nonlinear Parabolic Partial Differential Equations by a Probabilistic Domain Decomposition. - Juan A. Acebrón; Ángel Rodríguez-Rozas; Renato Spigler (J. Sci. Comput., 2010)

A new parallel solver suited for arbitrary semilinear parabolic partial differential equations based on generalized random trees. - Juan A. Acebrón; Ángel Rodríguez-Rozas (J. Comput. Phys., 2011)

Highly efficient numerical algorithm based on random trees for accelerating parallel Vlasov-Poisson simulations. - Juan A. Acebrón; Ángel Rodríguez-Rozas (J. Comput. Phys., 2013)

A Stochastic Algorithm Based on Fast Marching for Automatic Capacitance Extraction in Non-Manhattan Geometries. - Francisco Bernal; Juan A. Acebrón; Immanuel Anjam (SIAM J. Imaging Sci., 2014)

A multigrid-like algorithm for probabilistic domain decomposition. - Francisco Bernal; Juan A. Acebrón (Comput. Math. Appl., 2016)

A Monte Carlo method for solving the one-dimensional telegraph equations with boundary conditions. - Juan A. Acebrón; Marco A. Ribeiro (J. Comput. Phys., 2016)

An Efficient Algorithm for Accelerating Monte Carlo Approximations of the Solution to Boundary Value Problems. - Sara Mancini; Francisco Bernal; Juan A. Acebrón (J. Sci. Comput., 2016)

A Monte Carlo method for computing the action of a matrix exponential on a vector. - Juan A. Acebrón (Appl. Math. Comput., 2019)

A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method. - Juan A. Acebrón; José R. Herrero 001; José Monteiro 001 (Comput. Math. Appl., 2020)

A Probabilistic Linear Solver Based on a Multilevel Monte Carlo Method. - Juan A. Acebrón (J. Sci. Comput., 2020)

A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks. - Filipe Magalhães; José Monteiro 001; Juan A. Acebrón; José R. Herrero 001 (Future Gener. Comput. Syst., 2022)

A hybrid probabilistic domain decomposition algorithm suited for very large-scale elliptic PDEs. - Francisco Bernal; Jorge Morón-Vidal; Juan A. Acebrón (Comput. Math. Appl., 2023)

A stochastic method for solving time-fractional differential equations. - Nicolas L. Guidotti; Juan A. Acebrón; José Monteiro 001 (Comput. Math. Appl., 2024)

Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems. - Inês A. Ferreira; Juan A. Acebrón; José Monteiro 001 (CoRR, 2024)

Sensitivity analysis of fractional linear systems based on random walks with negligible memory usage. - Andrés Centeno; Juan A. Acebrón; José Monteiro (CoRR, 2024)

A Fast Monte Carlo Algorithm for Evaluating Matrix Functions with Application in Complex Networks. - Nicolas L. Guidotti; Juan A. Acebrón; José Monteiro 001 (J. Sci. Comput., 2024)

Correction to: A Fast Monte Carlo Algorithm for Evaluating Matrix Functions with Application in Complex Networks. - Nicolas L. Guidotti; Juan A. Acebrón; José Monteiro 001 (J. Sci. Comput., 2025)

Accelerating a restarted Krylov method for matrix functions with randomization. - Nicolas L. Guidotti; Per-Gunnar Martinsson; Juan A. Acebrón; José Monteiro 001 (CoRR, 2025)

Survey of a class of iterative row-action methods: The Kaczmarz method. - Inês A. Ferreira; Juan A. Acebrón; José Monteiro 001 (Numer. Algorithms, 2025)