📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Bayesian level set method for geometric inverse problems (2016)

First Author: Iglesias M

Attributed to: Enabling Quantification of Uncertainty for Large-Scale Inverse Problems (EQUIP) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.4171/ifb/362

Publication URI: http://dx.doi.org/10.4171/ifb/362

Type: Journal Article/Review

Parent Publication: Interfaces and Free Boundaries, Mathematical Analysis, Computation and Applications

Issue: 2