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A generalization of continuous regularized Gauss–Newton method for ill-posed problems by M. Thamban Nair; P. Ravishankar is a Mathematics article available to read on EtoBox.
What is A generalization of continuous regularized Gauss–Newton method for ill-posed problems about?
## Abstract A generalization of a simplified form of the continuous regularized Gauss–Newton method has been considered for obtaining stable approximate solutions for ill-posed operator equations of the form __F__(__x__) = __y__, where __F__ is a nonlinear operator defined on a subset of a Hilbert space H~1~ with values in another Hilbert space H~2~. Convergence of the method for exact data is proved without assuming any specific source condition on the unknown solution. For the case of noisy data, order optimal error estimates based on an a posteriori as well as an a priori stopping rule are derived under a general source condition which includes the classical source conditions such as the Hölder-type and logarithmic type, and certain nonlinearity assumptions on the operator __F__.
Who reads A generalization of continuous regularized Gauss–Newton method for ill-posed problems?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- M. Thamban Nair; P. Ravishankar
- Publisher
- Walter de Gruyter GmbH
- Published
- 2011
- Language
- EN
- Field
- Mathematics (Physical Sciences)