Error estimates for the moving least-square approximation and the element-free Galerkin method in n-dimensional spaces

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Solving Irregular and Data-enriched Differential Equations using Deep Neural Networks (2019, methodology): “Optimization-based methods have been popular for some time in the form of leastsquares finite element methods (LSFEM) [1, 2, 3], and element-free Galerkin methods [4, 5], where even for mesh-free formulations, theoretical convergence criteria have been examined [6].”