120 citations · 143 across the 12 of their papers we have counts for
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math.NA2023
Solving inverse scattering problems via reduced-order model embedding procedures
Jörn Zimmerling, Vladimir Druskin, Murthy Guddati +2
We present a reduced-order model (ROM) methodology for inverse scattering problems in which the reduced-order models are data-driven, i.e. they are constructed directly from data g…
math.NA2023
When data driven reduced order modeling meets full waveform inversion
Liliana Borcea, Josselin Garnier, Alexander V. Mamonov +1
Waveform inversion is concerned with estimating a heterogeneous medium, modeled by variable coefficients of wave equations, using sources that emit probing signals and receivers th…