21 citations · 76 across the 23 of their papers we have counts for
4 papers · 1 filter
Two-Level Sketching Alternating Anderson acceleration for Complex Physics Applications
Nicolás A. Barnafi, Massimiliano Lupo Pasini
We present a novel two-level sketching extension of the Alternating Anderson-Picard (AAP) method for accelerating fixed-point iterations in challenging single- and multi-physics si…
A deep learning approach for adaptive zoning
Massimiliano Lupo Pasini, Luka Malenica, Kwitae Chong +1
We propose a supervised deep learning (DL) approach to perform adaptive zoning on time dependent partial differential equations that model the propagation of 1D shock waves in a co…
Anderson acceleration with approximate calculations: applications to scientific computing
Massimiliano Lupo Pasini, M. Paul Laiu
We provide rigorous theoretical bounds for Anderson acceleration (AA) that allow for approximate calculations when applied to solve linear problems. We show that, when the approxim…
Hierarchical model reduction driven by machine learning for parametric advection-diffusion-reaction problems in the presence of noisy data
Massimiliano Lupo Pasini, Simona Perotto
We propose a new approach to generate a reliable reduced model for a parametric elliptic problem, in the presence of noisy data. The reference model reduction procedure is the dire…