Advanced Techniques in the Computation of Reduced Order Models and Krylov Recycling for Diffuse Optical Tomography

O'Connell, Meghan.
2017-04-19T18:07:29.983Z

Abstract: Nonlinear parametric inverse problems whose forward model is described by a partial differential equation (PDE) arise in many applications, such as diffuse optical tomography (DOT). The main computational bottleneck in solving these types of inverse problems is the need to repeatedly solve the forward model, which requires solves of large-scale discretized parametrized PDEs. The main foc... read more

Subjects
Tufts University. Department of Mathematics.
Permanent URL
http://hdl.handle.net/10427/011793
ID: tufts:21269
To Cite: DCA Citation Guide