2 papers
cs.CE2025
A modified Newmark/Newton-Raphson method with automatic differentiation for general nonlinear dynamics analysis
Yifan Jiang, Yuhong Jin, Lei Hou +2
The Newmark/Newton-Raphson (NNR) method is widely employed for solving nonlinear dynamic systems. However, the current NNR method exhibits limited applicability in complex nonlinea…
cs.LG2025
Invertible Koopman neural operator for data-driven modeling of partial differential equations
Yuhong Jin, Andong Cong, Lei Hou +5
Koopman operator theory is a popular candidate for data-driven modeling because it provides a global linearization representation for nonlinear dynamical systems. However, existing…