A derivative free iterative method for the implementation of Lavrentiev regularization method for ill-posed equations

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Date

2015

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Kluwer Academic Publishers

Abstract

In this work, we develop a derivative free iterative method for the implementation of Lavrentiev regularization for approximately solving the nonlinear ill-posed operator equation F(x) = y. Convergence analysis shows that the method converges quadratically. Apart from being totally free of derivatives, the method, under a general source condition provide an optimal order error estimate. We use the adaptive method introduced in Pereverzyev and Schock (SIAM J. Numer. Anal. 43, 2060–2076, 2005) for choosing the regularization parameter. In the concluding section the method is applied to numerical solution of the inverse gravimetry problem. © 2014, Springer Science+Business Media New York.

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Keywords

Adaptive method, Derivative free method, Iterative method, Lavrentiev regularization, Nonlinear ill-posed equations, Quadratic convegence

Citation

Numerical Algorithms, 2015, 68, 2, pp. 289-304

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