Article ID Journal Published Year Pages File Type
474430 Computers & Mathematics with Applications 2007 11 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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