NLPME achieves lower reconstruction error with fewer latent variables than linear PME on a 32-parameter underwater glider shape while retaining explicit backmapping to design parameters.
Parametric model embedding.Computer Methods in Applied Mechanics and Engineering, 404:115776
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
extension 1
citation-polarity summary
fields
cs.CE 1years
2026 1verdicts
UNVERDICTED 1roles
extension 1polarities
extend 1representative citing papers
citing papers explorer
-
A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design
NLPME achieves lower reconstruction error with fewer latent variables than linear PME on a 32-parameter underwater glider shape while retaining explicit backmapping to design parameters.