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A steepest descent algorithm for the global minimization of the Tikhonov functional

Ronny Ramlau 2002 Inverse Problems 18 381-403   doi: 10.1088/0266-5611/18/2/306  Help

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Ronny Ramlau
University of Bremen, Germany

Abstract. We report on a new iterative approach for finding a global minimizer of the Tikhonov functional with a special class of nonlinear operators F. Assuming that the operator itself can be decomposed into (or approximated by) a sum of a linear and a bilinear operator, we introduce a two-step iteration scheme based on an outer iteration over the regularization parameter α and an inner iteration with a steepest descent method. Finally we present numerical results for the reconstruction of the emission function in single-photon emission computed tomography.

Print publication: Issue 2 (April 2002)
Received 25 September 2001
Published 7 March 2002

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