This paper discusses regularization techniques and iterative algorithms for addressing inverse problems, indicating improvements in computational methods.
This paper is concerned with computational aspects for inverse problems in engineering sciences. First, regularization techniques are discussed for ill-posedness of inverse problems. Secondly, computational methods are overviewed for iterative algorithms using the gradient evaluation of output least square errors. The final part of this paper is devoted to optimal search algorithm for inverse solvers.
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Fumio Kojima (1997) studied this question.
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