Regularization Methods for the Solution of Inverse Problems: Theory and Computational Aspects Elena Loli Piccolomini and Fabiana Zama
نویسندگان
چکیده
In this work we analyze ill{posed problems modelled by rst kind Fred-holm integral equations with non degenerate kernel. We survey the main properties of the least{squares solutions and derive the regularized solutions in the cases of Truncated Singular Value Decomposition, Tikhonov method and Conjugate Gradient regularization method. Numerical results are reported in the case of medical imaging test problems.
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