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• W2964173857 abstract "Abstract In this work we discuss a method to adapt sequential subspace optimization (SESOP), which has so far been developed for linear inverse problems in Hilbert and Banach spaces, to the case of nonlinear inverse problems. We start by revising the technique for linear problems. In a next step, we introduce a method using multiple search directions that are especially designed to fit the nonlinearity of the forward operator. To this end, we iteratively project the initial value onto stripes whose width is determined by the search direction, the nonlinearity of the operator and the noise level. We additionally propose a fast algorithm that uses two search directions. Finally, we will show convergence and regularization properties for the presented method." @default.
• W2964173857 created "2019-07-30" @default.
• W2964173857 creator A5024356887 @default.
• W2964173857 creator A5083589911 @default.
• W2964173857 date "2016-06-29" @default.
• W2964173857 modified "2023-10-18" @default.
• W2964173857 title "Sequential subspace optimization for nonlinear inverse problems" @default.
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• W2964173857 doi "https://doi.org/10.1515/jiip-2016-0014" @default.
• W2964173857 hasPublicationYear "2016" @default.
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