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Derivative-based global sensitivity analysis for models with high-dimensional inputs and functional outputs
(2019-02-17)
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
(2019-03-15)
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 ...