most citedExtending Parametric Model Embedding with Physical Information for Design-space Dimensionality Reduction in Shape Optimization

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math.OC2025★ 1 cited

Extending Parametric Model Embedding with Physical Information for Design-space Dimensionality Reduction in Shape Optimization

Andrea Serani, Giorgio Palma, Jeroen Wackers +3

Design-space dimensionality reduction is essential to mitigate the cost of high-fidelity simulation-based optimization, especially when dealing with high-dimensional geometric para…