Abstract:
Inverse source problem for the wave equation is considered. The additional information is measured on different parts of the boundary. The degree of ill-posedness of the inverse problem is investigated. Numerical algorithm which is based on the SVD of the discrete inverse problem is constructed and tested.
Key words:
inverse source problem, singular value decomposition, degree of ill-posedness.
Citation:
S. I. Kabanikhin, O. I. Krivorotko, “Singular value decomposition in the source problem”, Sib. Zh. Vychisl. Mat., 15:2 (2012), 205–211; Num. Anal. Appl., 5:2 (2012), 168–174
This publication is cited in the following 1 articles:
Olga Krivorotko, Sergey Kabanikhin, “Artificial intelligence for COVID-19 spread modeling”, Journal of Inverse and Ill-posed Problems, 32:2 (2024), 297