PAM is a mesh-independent RBF framework with Shepard normalization, sparse regression, adaptive refinement, and subdomain parallelism that approximates discontinuous data with arbitrarily small L1 error for step functions.
Dagan, Flow and Transport in Porous Formations, Springer, 1989
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A Parallel and Adaptive Mesh-Free method for Heterogeneous Porous Media
PAM is a mesh-independent RBF framework with Shepard normalization, sparse regression, adaptive refinement, and subdomain parallelism that approximates discontinuous data with arbitrarily small L1 error for step functions.