A novel number-theoretic sampling method for neural network solutions of partial differential equations

Yu Yang, Pingan He, Xiaoling Peng +1

Traditional Monte Carlo integration using uniform random sampling exhibits degraded efficiency in low-regularity or high-dimensional problems. We propose a novel deep learning fram…