Solving Irregular and Data-enriched Differential Equations using Deep Neural Networks

10 May 2019Craig MichoskiMilos MilosavljevicTodd OliverDavid Hatch

Recent work has introduced a simple numerical method for solving partial differential equations (PDEs) with deep neural networks (DNNs). This paper reviews and extends the method while applying it to analyze one of the most fundamental features in numerical PDEs and nonlinear analysis: irregular solutions... (read more)

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