article · Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu · 2004

A Mesh Partitioning based on Learning Vector Quantization For the Parallel Finite Element Analysis

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Abstract

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Cite this paper

OKUDA, O. (2004). A Mesh Partitioning based on Learning Vector Quantization For the Parallel Finite Element Analysis. Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu, 2004.17(0), 363–364. https://doi.org/10.1299/jsmecmd.2004.17.363

MLA 9

OKUDA, Osamu. “A Mesh Partitioning based on Learning Vector Quantization For the Parallel Finite Element Analysis.” Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu, vol. 2004.17, no. 0, 2004, pp. 363–64, https://doi.org/10.1299/jsmecmd.2004.17.363.

Chicago

OKUDA, Osamu. 2004. “A Mesh Partitioning based on Learning Vector Quantization For the Parallel Finite Element Analysis.” Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu 2004.17 (0): 363–64. https://doi.org/10.1299/jsmecmd.2004.17.363.

Harvard

OKUDA, O. (2004) ‘A Mesh Partitioning based on Learning Vector Quantization For the Parallel Finite Element Analysis’, Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu, 2004.17(0), pp. 363–364. Available at: https://doi.org/10.1299/jsmecmd.2004.17.363.

BibTeX

@article{okuda2004mesh,
  title = {{A Mesh Partitioning based on Learning Vector Quantization For the Parallel Finite Element Analysis}},
  author = {OKUDA, Osamu},
  journal = {Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu},
  volume = {2004.17},
  number = {0},
  pages = {363--364},
  year = {2004},
  doi = {10.1299/jsmecmd.2004.17.363}
}

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