Juan A. Acebrón

36 papers Misc 1Journal 30Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerating a restarted Krylov method for matrix functions with randomization.
CoRR
Nicolas L. Guidotti, Per-Gunnar Martinsson, Juan A. Acebrón, José Monteiro
2025 J jnl
Correction to: A Fast Monte Carlo Algorithm for Evaluating Matrix Functions with Application in Complex Networks.
J. Sci. Comput.
Nicolas L. Guidotti, Juan A. Acebrón, José Monteiro
2025 J jnl
Correction to: Survey of a class of iterative row-action methods: The Kaczmarz method.
Numer. Algorithms
Inês A. Ferreira, Juan A. Acebrón, José Monteiro
2025 J jnl
Survey of a class of iterative row-action methods: The Kaczmarz method.
Numer. Algorithms
Inês A. Ferreira, Juan A. Acebrón, José Monteiro
2024 J jnl
A Fast Monte Carlo Algorithm for Evaluating Matrix Functions with Application in Complex Networks.
J. Sci. Comput.
Nicolas L. Guidotti, Juan A. Acebrón, José Monteiro
2024 J jnl
A new parallel solver suited for arbitrary semilinear parabolic partial differential equations based on generalized random trees.
CoRR
Juan A. Acebrón, Ángel Rodríguez-Rozas
2024 J jnl
A stochastic method for solving time-fractional differential equations.
Comput. Math. Appl.
Nicolas L. Guidotti, Juan A. Acebrón, José Monteiro
2024 J jnl
Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems.
CoRR
Inês A. Ferreira, Juan A. Acebrón, José Monteiro
2024 J jnl
Sensitivity analysis of fractional linear systems based on random walks with negligible memory usage.
CoRR
Andrés Centeno, Juan A. Acebrón, José Monteiro
2024 J jnl
Survey of a Class of Iterative Row-Action Methods: The Kaczmarz Method.
CoRR
Inês A. Ferreira, Juan A. Acebrón, José Monteiro
2023 J jnl
A Fast Monte Carlo algorithm for evaluating matrix functions with application in complex networks.
CoRR
Nicolas L. Guidotti, Juan A. Acebrón, José Monteiro
2023 J jnl
A Stochastic Method for Solving Time-Fractional Differential Equations.
CoRR
Nicolas L. Guidotti, Juan A. Acebrón, José Monteiro
2023 J jnl
A hybrid probabilistic domain decomposition algorithm suited for very large-scale elliptic PDEs.
Comput. Math. Appl.
Francisco Bernal, Jorge Morón-Vidal, Juan A. Acebrón
2023 J jnl
A hybrid probabilistic domain decomposition algorithm suited for very large-scale elliptic PDEs.
CoRR
Francisco Bernal, Jorge Morón-Vidal, Juan A. Acebrón
2022 J jnl
A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks.
Future Gener. Comput. Syst.
Filipe Magalhães, José Monteiro, Juan A. Acebrón, José R. Herrero
2020 J jnl
A Probabilistic Linear Solver Based on a Multilevel Monte Carlo Method.
J. Sci. Comput.
Juan A. Acebrón
2020 J jnl
A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method.
Comput. Math. Appl.
Juan A. Acebrón, José R. Herrero, José Monteiro
2019 J jnl
A Monte Carlo method for computing the action of a matrix exponential on a vector.
Appl. Math. Comput.
Juan A. Acebrón
2016 J jnl
A Monte Carlo method for solving the one-dimensional telegraph equations with boundary conditions.
J. Comput. Phys.
Juan A. Acebrón, Marco A. Ribeiro
2016 J jnl
A multigrid-like algorithm for probabilistic domain decomposition.
Comput. Math. Appl.
Francisco Bernal, Juan A. Acebrón
2016 J jnl
An Efficient Algorithm for Accelerating Monte Carlo Approximations of the Solution to Boundary Value Problems.
J. Sci. Comput.
Sara Mancini, Francisco Bernal, Juan A. Acebrón
2014 J jnl
A Stochastic Algorithm Based on Fast Marching for Automatic Capacitance Extraction in Non-Manhattan Geometries.
SIAM J. Imaging Sci.
Francisco Bernal, Juan A. Acebrón, Immanuel Anjam
2013 J jnl
Highly efficient numerical algorithm based on random trees for accelerating parallel Vlasov-Poisson simulations.
J. Comput. Phys.
Juan A. Acebrón, Ángel Rodríguez-Rozas
2011 J jnl
A new parallel solver suited for arbitrary semilinear parabolic partial differential equations based on generalized random trees.
J. Comput. Phys.
Juan A. Acebrón, Ángel Rodríguez-Rozas
2010 J jnl
A fully scalable algorithm suited for petascale computing and beyond.
Comput. Sci. Res. Dev.
Juan A. Acebrón, Ángel Rodríguez-Rozas, Renato Spigler
2010 J jnl
Efficient Parallel Solution of Nonlinear Parabolic Partial Differential Equations by a Probabilistic Domain Decomposition.
J. Sci. Comput.
Juan A. Acebrón, Ángel Rodríguez-Rozas, Renato Spigler
2009 J jnl
Domain decomposition solution of nonlinear two-dimensional parabolic problems by random trees.
J. Comput. Phys.
Juan A. Acebrón, Ángel Rodríguez-Rozas, Renato Spigler
2009 — conf
On the Performance of a New Parallel Algorithm for Large-Scale Simulations of Nonlinear Partial Differential Equations.
PPAM (1)
Juan A. Acebrón, Ángel Rodríguez-Rozas, Renato Spigler
2009 — conf
Parallelising a simulator for the analysis of electromagnetic radiation using MUMPS library.
VALUETOOLS
R. Rico López, V. Escuder Cabañas, Raúl Durán Díaz, L. E. García-Castillo, I. Gómez-Revuelto, Juan A. Acebrón
2007 — conf
A Fully Scalable Parallel Algorithm for Solving Elliptic Partial Differential Equations.
Euro-Par
Juan A. Acebrón, Renato Spigler
2007 Misc conf
Scalability and Performance Analysis of a Probabilistic Domain Decomposition Method.
PPAM
Juan A. Acebrón, Renato Spigler
2007 J jnl
Supercomputing applications to the numerical modeling of industrial and applied mathematics problems.
J. Supercomput.
Juan A. Acebrón, Renato Spigler
2006 — conf
A New Domain Decomposition Approach Suited for Grid Computing.
PARA
Juan A. Acebrón, Raúl Durán, Rafael Rico, Renato Spigler
2005 J jnl
Domain Decomposition Solution of Elliptic Boundary-Value Problems via Monte Carlo and Quasi-Monte Carlo Methods.
SIAM J. Sci. Comput.
Juan A. Acebrón, Maria Pia Busico, Piero Lanucara, Renato Spigler
2005 J jnl
Second Harmonics Effects in Random Duffing Oscillators.
SIAM J. Appl. Math.
Juan A. Acebrón, Renato Spigler
2002 — conf
Noise-mediated cooperative behavior in a system of coupled DC SQUIDs.
ISCAS (4)
Juan A. Acebrón, Adi R. Bulsara, Wouter-Jan Rappel