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.
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References
George, S.: On convergence of regularized modified Newton’s method for nonlinear ill-posed problems. J. Inv. Ill-Posed Probl. 18(2), 133–146 (2010)
George, S., Elmahdy, A.I.: An analysis of Lavrentiev regularization for nonlinear ill-posed problems using an iterative regularization method. Int. J. Comput. Appl. Math. 5(3), 369–381 (2010)
George, S., A.I.Elmahdy: An iteratively regularized projection method for nonlinear ill-posed problems. Int. J. Contemp. Math. Sci. 5(52), 2547–2565 (2010)
George, S., Elmahdy, A.I.: A quadratic convergence yielding iterative method for nonlinear ill-posed operator equations. Comput. Methods Appl. Math. 12(1), 32–45 (2012)
George, S., Elmahdy, A.I.: An iteratively regularized projection method with quadratic convergence for nonlinear ill-posed problems. Int. J. Math. Anal. 4(45), 2211–2228 (2010)
George, S., Pareth, S.: An application of Newton type iterative method for Lavrentiev regularization for ill-posed equations: finite dimensional realization. IJAM 42:3, 164–170 (2012)
George, S., Pareth, S.: An application of Newton type iterative method for the approximate implementation of Lavrentiev regularization. J. Appl. Anal. 19, 181–196 (2013)
Janno, J., Tautenhahn, U.: On Lavrentiev regularization for ill-posed problems in Hilbert scales. Numer. Funct. Anal. Optim. 24(5–6), 531–555 (2003)
Kelley, C.T.: Iterative Methods for Linear and Nonlinear Equations. SIAM, Philadelphia (1995)
Mahale P., Nair M.T.: Iterated Lavrentiev regularization for nonlinear ill-posed problems. ANZIAM J. 51, 191–217 (2009)
Pereverzyev, S.V., Schock, E.: On the adaptive selection of the parameter in regularization of ill-posed problems. SIAM J. Numer. Anal. 43, 2060–2076 (2005)
Semenova, E.V.: Lavrentiev regularization and balancing principle for solving ill-posed problems with monotone operators. Comput. Methods Appl. Math. 4, 444–454 (2010)
Tautenhahn, U.: On the method of Lavrentiev regularization for nonlinear ill-posed problems. Inverse Probl. 18, 191–207 (2002)
Vasin, V.: Irregular nonlinear operator equations: Tikhonov’s regularization and iterative approximation. J. Inverse Ill-Posed Probl. 21, 109–123 (2013)
Vasin, V., George, S.: An Analysis of Lavrentiev Regularization Method and Newton Type Process for Nonlinear Ill-Posed Problems. Appl Math. Comput. 230, 406–413 (2014)
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Shubha, V.S., George, S. & Jidesh, P. A derivative free iterative method for the implementation of Lavrentiev regularization method for ill-posed equations. Numer Algor 68, 289–304 (2015). https://doi.org/10.1007/s11075-014-9844-x
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DOI: https://doi.org/10.1007/s11075-014-9844-x
Keywords
- Iterative method
- Quadratic convegence
- Derivative free method
- Nonlinear ill-posed equations
- Lavrentiev regularization
- Adaptive method