Zobrazeno 1 - 10
of 12
pro vyhledávání: '"S. L. Gonzaga de Oliveira"'
Autor:
S. L. Gonzaga de Oliveira, C. Carvalho
Publikováno v:
Journal of Combinatorial Optimization. 43:727-784
This paper considers the bandwidth reduction problem for large-scale sparse matrices in serial computations. A heuristic for bandwidth reduction reorders the rows and columns of a given sparse matrix. Thus, the method places entries with a nonzero va
Publikováno v:
Computational Science and Its Applications – ICCSA 2022 ISBN: 9783031105210
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85954370af813a0edc3192102838f6a0
https://doi.org/10.1007/978-3-031-10522-7_24
https://doi.org/10.1007/978-3-031-10522-7_24
Publikováno v:
TEMA, Vol 20, Iss 3, Pp 497-507 (2019)
The need to determine pseudoperipheral vertices arises from several graph-theoretical approaches for ordering sparse matrix equations. The results of two algorithms for finding such vertices, namely, the George-Liu and Kaveh-Bondarabady algorithms, a
Publikováno v:
Anais do XXII Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD 2021).
Neste artigo, são mostrados resultados de uma re-implementação da busca em largura na linguagem C++ com estrutura bag e interface OpenMP. A implementação é baseada em uma proposta existente na bibliografia que utilizou a linguagem Cilk++, que f
Publikováno v:
Engineering with Computers. 36:1857-1873
This paper proposes a novel ant colony hyperheuristic approach for reordering the rows and columns of symmetric positive definite matrices. This ant colony hyperheuristic approach evolves heuristics for bandwidth reduction applied to instances arisin
Autor:
Mario João Júnior, Alexandre C. Sena, D. T. Robaina, Mauricio Kischinhevsky, S. L. Gonzaga de Oliveira
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030866525
ICCSA (1)
ICCSA (1)
This paper shows the accuracy of the Hopmoc method when applied to a partial differential equation that combines both nonlinear propagation and diffusive effects. Specifically, this paper shows the numerical results yielded by the Hopmoc algorithm wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54415e61a5de2a1c5fa69831d3422d0d
https://doi.org/10.1007/978-3-030-86653-2_8
https://doi.org/10.1007/978-3-030-86653-2_8
The Influence of Reordering Algorithms on the Convergence of a Preconditioned Restarted GMRES Method
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030587987
ICCSA (1)
ICCSA (1)
This paper concentrates on applying reordering algorithms as a preprocessing step of a restarted Generalized Minimal Residual (GMRES for short) solver preconditioned by three ILU-type preconditioners. This paper investigates the effect of 13 ordering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::005fef225878bd9d75592a7c95acf77f
https://doi.org/10.1007/978-3-030-58799-4_2
https://doi.org/10.1007/978-3-030-58799-4_2
Autor:
S. L. Gonzaga de Oliveira, Carla Osthoff, Mauricio Kischinhevsky, Alexandre C. Sena, Diogo T. Robaina
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030587987
ICCSA (1)
ICCSA (1)
This paper describes a method for convection-dominated fluid or heat flows. This method relies on the Hopmoc method and backward differentiation formulas. The present study discusses the convergence of the method when applied to a convection-diffusio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::908bcfa455a4d7e58bfaac9b164b9751
https://doi.org/10.1007/978-3-030-58799-4_1
https://doi.org/10.1007/978-3-030-58799-4_1
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030587987
ICCSA (1)
ICCSA (1)
The bandwidth minimization problem is a well-known \(\mathcal {NP}\)-hard problem. This paper describes our experience in implementing a biased random-key genetic algorithm for the bandwidth reduction problem. Specifically, this paper compares the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07caf58c22b64bbcfe245e50ceb3eb2c
https://doi.org/10.1007/978-3-030-58799-4_23
https://doi.org/10.1007/978-3-030-58799-4_23
Publikováno v:
Computational Science and Its Applications – ICCSA 2019 ISBN: 9783030242886
ICCSA (1)
ICCSA (1)
This paper evaluates a variant of the George-Liu algorithm for finding a pseudoperipheral vertex in a graph aiming at returning a vertex having a larger eccentricity than the original algorithm. The experiments show that the Reverse Cuthill-McKee met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f62581cf27a0be17a1e08ebc18a2446
https://doi.org/10.1007/978-3-030-24289-3_1
https://doi.org/10.1007/978-3-030-24289-3_1