Physics-informed neural networks (PINNs) have enabled significant improvements in modelling physical processes described by partial differential equations (PDEs) and are in principle capable of ...
This article investigates the stochastic Davey–Stewartson equations influenced by multiplicative noise within the framework of the It\(\hat{o}\) calculus. These equations are of significant importance ...
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