Adaptive surrogate modeling for high-dimensional spatio-temporal output

Berkcan Kapusuzoglu, Sankaran Mahadevan, Shunsaku Matsumoto, Yoshitomo Miyagi, Daigo Watanabe

Open source

DOI: 10.1007/s00158-022-03402-x
Published: 2022-10
Container: Structural and Multidisciplinary Optimization
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00158-022-03402-x,
  title = {Adaptive surrogate modeling for high-dimensional spatio-temporal output},
  author = {Berkcan Kapusuzoglu and Sankaran Mahadevan and Shunsaku Matsumoto and Yoshitomo Miyagi and Daigo Watanabe},
  year = {2022},
  journal = {Structural and Multidisciplinary Optimization},
  doi = {10.1007/s00158-022-03402-x},
  url = {https://doi.org/10.1007/s00158-022-03402-x}
}

RIS

TY  - JOUR
TI  - Adaptive surrogate modeling for high-dimensional spatio-temporal output
AU  - Berkcan Kapusuzoglu
AU  - Sankaran Mahadevan
AU  - Shunsaku Matsumoto
AU  - Yoshitomo Miyagi
AU  - Daigo Watanabe
PY  - 2022
JO  - Structural and Multidisciplinary Optimization
DO  - 10.1007/s00158-022-03402-x
UR  - https://doi.org/10.1007/s00158-022-03402-x
ER  -

APA

Kapusuzoglu, B., Mahadevan, S., Matsumoto, S., Miyagi, Y., & Watanabe, D. (2022). Adaptive surrogate modeling for high-dimensional spatio-temporal output. Structural and Multidisciplinary Optimization. https://doi.org/10.1007/s00158-022-03402-x

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crossref · retrieved 2026-09-26T16:46:13.486Z