A Convex Optimization Framework for the Inverse Problem of Identifying a Random Parameter in a Stochastic Partial Differential Equation-Reference-Cited by-同舟云学术

A Convex Optimization Framework for the Inverse Problem of Identifying a Random Parameter in a Stochastic Partial Differential Equation

Published:2021-01 Issue:2 Volume:9 Page:922-952
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Jadamba Baasansuren,Khan Akhtar A.,Sama Miguel,Starkloff Hans-Jorg,Tammer Christiane

Funder

Federación Española de Enfermedades Raras

National Science Foundation

Universidad Nacional de Educación a Distancia

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://epubs.siam.org/doi/pdf/10.1137/20M1323953

Reference42 articles.

1. Stochastic Finite Element Method for Torso Conductivity Uncertainties Quantification in Electrocardiography Inverse Problem

2. Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations

3. Spectral Finite-Element Methods for Parametric Constrained Optimization Problems

4. Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations

5. Stochastic inverse heat conduction using a spectral approach

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