71 citations · 71 across the 4 of their papers we have counts for
4 papers
Hybrid Least Squares/Gradient Descent Methods for MIONets
Jun Choi, Chang-Ock Lee, Minam Moon
In this paper, we propose an efficient hybrid least squares/gradient descent (LSGD) method for MIONets to accelerate training. This method generalizes the LSGD method for DeepONets…
Hybrid Least Squares/Gradient Descent Methods for DeepONets
Jun Choi, Chang-Ock Lee, Minam Moon
We propose an efficient hybrid least squares/gradient descent method to accelerate DeepONet training. Since the output of DeepONet can be viewed as linear with respect to the last…
Singular value decomposition of the wave forward operator with radial variable coefficients
Minam Moon, Injo Hur, Sunghwan Moon
Photoacoustic tomography (PAT) is a novel and promising technology in hybrid medical imaging that involves generating acoustic waves in the object of interest by stimulating electr…
Generalized Multiscale Finite Element Method. Symmetric Interior Penalty Coupling
Y. Efendiev, J. Galvis, R. Lazarov +2
Motivated by applications to numerical simulation of flows in highly heterogeneous porous media, we develop multiscale finite element methods for second order elliptic equations. W…