A Second Degree Method for Nonlinear Inverse Problems
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The paper is concerned with the solution of nonlinear ill-posed problems by methods that utilize the second derivative. A general predictor-corrector approach is developed; one which avoids solving quadratic equations during the iteration process. Combining regularization of each iteration step with an adequate stopping condition leads to a general regularization scheme for nonlinear equations. Possible implementations and discussion of the performance of this method are illustrated by applications to some well-known inverse problems.
SIAM Journal on Numerical Analysis
author list (cited authors)
Hettlich, F., & Rundell, W.
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