Convergence rate results for steepest descent type method for nonlinear ill-posed equations

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2017

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Elsevier Inc. usjcs@elsevier.com

Abstract

Convergence rate result for a modified steepest descent method and a modified minimal error method for the solution of nonlinear ill-posed operator equation have been proved with noisy data. To our knowledge, convergence rate result for the steepest descent method and minimal error method with noisy data are not known. We provide a convergence rate results for these methods with noisy data. The result in this paper are obtained under less computational cost when compared to the steepest descent method and minimal error method. We present an academic example which satisfies the assumptions of this paper. © 2016 Elsevier Inc.

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Keywords

Errors, Mathematical operators, Nonlinear equations, Computational costs, Convergence rates, Discrepancy principle, Ill-posed operator equation, Minimal errors, Nonlinear ill-posed equations, Nonlinear ill-posed problems, Regularization methods, Steepest descent method

Citation

Applied Mathematics and Computation, 2017, 294, , pp. 169-179

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