Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
474430 | Computers & Mathematics with Applications | 2007 | 11 Pages |
Abstract
Elliptic inverse problems can be formulated using coefficient-dependent energy least-squares functionals, resulting in a smooth, convex objective functional. A variational inequality emerges as a necessary and sufficient optimality condition. The principle of iterative regularization, when coupled with the auxiliary problem principle, results in a strongly convergent scheme for the solution of elliptic inverse problems.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
A.A. Khan, B.D. Rouhani,