Bayesian inverse problems for partial differential equations with discontinuous coefficients: an adaptive finite element approach
This thesis addresses a challenging class of inverse problems in which one seeks to identify an inclusion within a physical domain by observing noisy, indirect measurements of the underlying system. We adopt a Bayesian framework, treating the unknown parameters as random variables and combining prio...
Saved in:
Main Author: | Oh, Wei Yuan |
---|---|
Other Authors: | Hoang Viet Ha |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2025
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/184417 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bayesian inversion for forward partial differential equations in mixed forms
by: Yang, Juntao
Published: (2022) -
Bayesian inverse problems for recovering coefficients of two scale elliptic equations
by: Hoang, Viet Ha, et al.
Published: (2021) -
Sparse tensor product finite elements for two scale elliptic and parabolic equations with discontinuous coefficients
by: Pang, Chen Hui, et al.
Published: (2025) -
Convergence of Adaptive Finite Element Methods for Semi-Linear Elliptic Partial Differential Equations
by: Thanatyod Jampawai
Published: (2017) -
Convergence of Adaptive Finite Element Methods for Semi-Linear Elliptic Partial Differential Equations
by: Thanatyod Jampawai
Published: (2014)