Evolving reordering algorithms using an ant colony hyperheuristic approach for accelerating the convergence of the ICCG method-Reference-Cited by-同舟云学术

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Evolving reordering algorithms using an ant colony hyperheuristic approach for accelerating the convergence of the ICCG method

Published:2019-06-21 Issue:4 Volume:36 Page:1857-1873
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

de Oliveira S. L. Gonzaga,Silva L. M.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/s00366-019-00801-5.pdf

Reference41 articles.

1. Ajiz MA, Jennings A (1984) A robust incomplete Choleski-conjugate gradient algorithm. Int J Numer Methods Eng 20:949–966

2. Bathe K (1996) Finite element procedures. Prentice Hall, New Jersey

3. Benzi M (2002) Preconditioning techniques for large linear systems: a survey. J Comput Phys 182:418–477

4. Benzi M, Tuma M (2003) A robust incomplete factorization preconditioner for positive definite matrices. Numer Linear Algebra Appl 10:385–400

5. Bernardes JAB, Gonzaga de Oliveira SL (2015) A systematic review of heuristics for profile reduction of symmetric matrices. Procedia Comput Sci 51:221–230. https://doi.org/10.1016/j.procs.2015.05.231

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