Abstract
We consider a two-dimensional inverse heat conduction problem which is severely ill-posed, i.e., the solution (if it exists) does not depend continuously on the data. From the frequency domain, we propose an optimal modified method to solve the problem in the presence of noisy data. We give and prove the optimal convergence estimate, which shows that the regularized solution is dependent continuously on the data and is an approximation of the exact solution of the two-dimensional inverse heat conduction problem.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
