Objective-Sensitive Principal Component Analysis for High-Dimensional Inverse Problems

Maksim Elizarev, Andrei Mukhin, Aleksey Khlyupin

We present a novel approach for adaptive, differentiable parameterization of large-scale random fields. If the approach is coupled with any gradient-based optimization algorithm, i…