arXiv Open Access 2024

Physics-based linear regression for high-dimensional forward uncertainty quantification

Ziqi Wang
Lihat Sumber

Abstrak

We introduce linear regression using physics-based basis functions optimized through the geometry of an inner product space. This method addresses the challenge of surrogate modeling with high-dimensional input, as the physics-based basis functions encode problem-specific information. We demonstrate the method using a proof-of-concept nonlinear random vibration example.

Topik & Kata Kunci

Penulis (1)

Z

Ziqi Wang

Format Sitasi

Wang, Z. (2024). Physics-based linear regression for high-dimensional forward uncertainty quantification. https://arxiv.org/abs/2405.08006

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓