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Derivative-based global sensitivity analysis for models with high-dimensional inputs and functional outputs
We present a framework for derivative-based global sensitivity analysis (GSA) for models with high-dimensional input parameters and functional outputs. We combine ideas from derivative-based GSA, random eld representation ...
Model input and output dimension reduction using Karhunen Loève expansions with application to biotransport
We consider biotransport in tumors with uncertain heterogeneous material properties. Specifically, we focus on the elliptic partial differential equation (PDE) modeling the pressure field inside the tumor. The permeability ...