A generalized approximation for the meshfree analysis of solids

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An improved meshless Shepard and least squares method possessing the delta property and requiring no singular weight function (2014, methodology): “Some widely used meshless approximations are the moving least-squares (MLS) approximation, Shepard shape functions, partition of unity (PU), radial basis functions (RBF), reproducing kernel particle approximation (RKPA) [14,15], point interpolation (PI) and Kriging interpolation (KI) and a generaliz”
Meshfree Methods: Progress Made after 20 Years (2017, unknown): “…the introduction of a generalization of MLS, RK, and ME approximations, where consistency, convexity, and the weak Kronecker delta property can be obtained in various combinations such as MLS with weak Kronecker delta at the boundary, and higher order convex approximations (Wu et al. 2011, 2015).”
A displacement smoothing induced strain gradient stabilization for the meshfree Galerkin nodal integration method (2015, methodology): “In all test cases, we have used the meshfree convex approximations [37] to simplify the boundary condition enforcement.”