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most citedAdaptive neural network basis methods for partial differential equations with low-regular solutions

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math.OC2024

Martingale deep learning for very high dimensional quasi-linear partial differential equations and stochastic optimal controls

Wei Cai, Shuixin Fang, Wenzhong Zhang +1

In this paper, a highly parallel and derivative-free martingale neural network learning method is proposed to solve Hamilton-Jacobi-Bellman (HJB) equations arising from stochastic…