Iterative Regularization Methods for Nonlinear Ill-Posed Problems by Barbara Kal
170,66 €
Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, that is they are unstable under data perturbations. Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations.
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