Membros > Colaboradores

Juan Acebron

Morada Institucional

ISCTE-IUL: Instituto Universitário de Lisboa
Av. das Forças Armadas
1649-026 LISBOA


Telefone: | Email: juan.acebron@ist.utl.pt

Posição

Professor Auxiliar, ISCTE-IUL: Instituto Universitário de Lisboa

Área

Análise Numérica e Aplicações


Publicações

Artigos em Revistas Internacionais

Mancini, Sara; Bernal, Francisco; Acebron, Juan (2014) An Efficient Algorithm for Accelerating Monte Carlo Approximations of the Solution to Boundary Value Problems. , (submitted).
Bernal, Francisco; Acebron, Juan; Anjam, Immanuel (2014) A Stochastic Algorithm Based on Fast Marching for Automatic Capacitance Extraction in Non-Manhattan Geometries. SIAM Journal on Imaging Sciences: 7(4), 2657-2674.
Acebron, Juan; Rodriguez-Rozas, A. (2011) A new parallel solver suited for arbitrary semilinear parabolic partial differential equations based on generalized random trees. Journal of Computational Physics: 230(21), 7891-7909.
Acebron, Juan; Rodriguez-Rozas, A. (2010) On the performance of a new parallel numerical algorithm for large-scale simulations of nonlinear partial differential equations. Lecture Notes in Computer Science : 6067, 41-50.
Acebron, Juan; Rodriguez-Rozas, A.; Spigler, R. (2010) Efficient parallel solution of nonlinear parabolic partial differential equations by a probabilistic domain decomposition. Journal of Scientific Computing: 43(2), 135-157.
Duran Diaz, R.; Rico, R.; Garcia-Castillo, L. E.; Gomez-Revuelto, I.; Acebron, Juan; Martinez-Fernandez, I. (2010) Parallelizing a Hybrid Finite Element-Boundary Integral Method for the Analysis of Scattering and Radiation of Electromagnetic Waves. Finite Elements in Analysis and Design: 46(8), 645-657.
Acebron, Juan; Rodriguez-Rozas, A.; Spigler, R. (2009) Domain decomposition solution of nonlinear twodimensional parabolic problems by random trees. Journal of Computational Physics: 228(15), 5574-5591.
Acebron, Juan; Spigler, R. (2008) Scalability and performance analysis of a probabilistic domain decomposition method. Lecture Notes in Computer Science: 4967, 1257-1264.

Artigos ou Capítulos em Livros Editados

Acebron, Juan; Lozano, S.; Arenas, A. (2009) Enhancement of signal response in complex networks induced by topology and noise. Applications of Nonlinear Dynamics Model and Design of Complex Systems, Springer-Verlag, 201-210.