Juan A. Acebrón - researchr alias

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Viewing Publication 1 - 24 from 24

2024

A Fast Monte Carlo Algorithm for Evaluating Matrix Functions with Application in Complex NetworksNicolas L. Guidotti, Juan A. Acebrón, José Monteiro 0001. jscic, 99(2):41, May 2024. [doi]

2023

A hybrid probabilistic domain decomposition algorithm suited for very large-scale elliptic PDEsFrancisco Bernal, Jorge Morón-Vidal, Juan A. Acebrón. cma, 146:294-308, September 2023. [doi]

2022

A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networksFilipe Magalhães, José Monteiro, Juan A. Acebrón, José R. Herrero. fgcs, 127:320-330, 2022. [doi]

2020

A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo methodJuan A. Acebrón, José R. Herrero, José Monteiro. cma, 79(12):3495-3515, 2020. [doi]

A Probabilistic Linear Solver Based on a Multilevel Monte Carlo MethodJuan A. Acebrón. jscic, 82(3):65, 2020. [doi]

2019

A Monte Carlo method for computing the action of a matrix exponential on a vectorJuan A. Acebrón. amc, 362, 2019. [doi]

2016

A Monte Carlo method for solving the one-dimensional telegraph equations with boundary conditionsJuan A. Acebrón, Marco A. Ribeiro. jcphy, 305:29-43, 2016. [doi]

A multigrid-like algorithm for probabilistic domain decompositionFrancisco Bernal, Juan A. Acebrón. cma, 72(7):1790-1810, 2016. [doi]

An Efficient Algorithm for Accelerating Monte Carlo Approximations of the Solution to Boundary Value ProblemsSara Mancini, Francisco Bernal, Juan A. Acebrón. jscic, 66(2):577-597, 2016. [doi]

2014

A Stochastic Algorithm Based on Fast Marching for Automatic Capacitance Extraction in Non-Manhattan GeometriesFrancisco Bernal, Juan A. Acebrón, Immanuel Anjam. siamis, 7(4):2657-2674, 2014. [doi]

2013

Highly efficient numerical algorithm based on random trees for accelerating parallel Vlasov-Poisson simulationsJuan A. Acebrón, Ángel Rodríguez-Rozas. jcphy, 250:224-245, 2013. [doi]

2011

A new parallel solver suited for arbitrary semilinear parabolic partial differential equations based on generalized random treesJuan A. Acebrón, Ángel Rodríguez-Rozas. jcphy, 230(21):7891-7909, 2011. [doi]

2010

Efficient Parallel Solution of Nonlinear Parabolic Partial Differential Equations by a Probabilistic Domain DecompositionJuan A. Acebrón, Ángel Rodríguez-Rozas, Renato Spigler. jscic, 43(2):135-157, 2010. [doi]

A fully scalable algorithm suited for petascale computing and beyondJuan A. Acebrón, Ángel Rodríguez-Rozas, Renato Spigler. ife, 25(1-2):115-121, 2010. [doi]

2009

2007

Supercomputing applications to the numerical modeling of industrial and applied mathematics problemsJuan A. Acebrón, Renato Spigler. tjs, 40(1):67-80, 2007. [doi]

Scalability and Performance Analysis of a Probabilistic Domain Decomposition MethodJuan A. Acebrón, Renato Spigler. ppam 2008: 1257-1264 [doi]

A Fully Scalable Parallel Algorithm for Solving Elliptic Partial Differential EquationsJuan A. Acebrón, Renato Spigler. europar 2007: 727-736 [doi]

2006

A New Domain Decomposition Approach Suited for Grid ComputingJuan A. Acebrón, Raúl Durán, Rafael Rico, Renato Spigler. para 2007: 744-753 [doi]

2005

Second Harmonics Effects in Random Duffing OscillatorsJuan A. Acebrón, Renato Spigler. siamam, 66(1):266-285, 2005. [doi]

Domain Decomposition Solution of Elliptic Boundary-Value Problems via Monte Carlo and Quasi-Monte Carlo MethodsJuan A. Acebrón, Maria Pia Busico, Piero Lanucara, Renato Spigler. siamsc, 27(2):440-457, 2005. [doi]

2002

Noise-mediated cooperative behavior in a system of coupled DC SQUIDsJuan A. Acebrón, Adi R. Bulsara, W.-J. Rappel. iscas 2002: 293-296 [doi]

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