39 citations · 39 across the 6 of their papers we have counts for
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math.NA2021
Operator Shifting for General Noisy Matrix Systems
Philip Etter, Lexing Ying
In the computational sciences, one must often estimate model parameters from data subject to noise and uncertainty, leading to inaccurate results. In order to improve the accuracy…
math.NA2019
Coarse-Proxy Reduced Basis Methods for Integral Equations
Philip A. Etter, Yuwei Fan, Lexing Ying
In this paper, we introduce a new reduced basis methodology for accelerating the computation of large parameterized systems of high-fidelity integral equations. Core to our methodo…
math.NA2019★ 39 cited
Online adaptive basis refinement and compression for reduced-order models via vector-space sieving
Philip A. Etter, Kevin T. Carlberg
In many applications, projection-based reduced-order models (ROMs) have demonstrated the ability to provide rapid approximate solutions to high-fidelity full-order models (FOMs). H…